text:
sample_data try/except import wrapper fails

ALL software version info
hvplot: 0.7.3
Description of expected behavior and the observed behavior
The following import fails, despite the all-catching except in the code?? (Honestly stumped)
from hvplot.sample_data import us_crime, airline_flights

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/tmp/ipykernel_3185062/1788543639.py in <module>
----> 1 from hvplot.sample_data import us_crime, airline_flights

~/miniconda3/envs/py39/lib/python3.9/site-packages/hvplot/sample_data.py in <module>
     23 # Add catalogue entries to namespace
     24 for _c in catalogue:
---> 25     globals()[_c] = catalogue[_c]

~/miniconda3/envs/py39/lib/python3.9/site-packages/intake/catalog/base.py in __getitem__(self, key)
    398             if e.container == 'catalog':
    399                 return e(name=key)
--> 400             return e()
    401         if isinstance(key, str) and '.' in key:
    402             key = key.split('.')

~/miniconda3/envs/py39/lib/python3.9/site-packages/intake/catalog/entry.py in __call__(self, persist, **kwargs)
     75             raise ValueError('Persist value (%s) not understood' % persist)
     76         persist = persist or self._pmode
---> 77         s = self.get(**kwargs)
     78         if persist != 'never' and isinstance(s, PersistMixin) and s.has_been_persisted:
     79             from ..container.persist import store

~/miniconda3/envs/py39/lib/python3.9/site-packages/intake/catalog/local.py in get(self, **user_parameters)
    287             return self._default_source
    288
--> 289         plugin, open_args = self._create_open_args(user_parameters)
    290         data_source = plugin(**open_args)
    291         data_source.catalog_object = self._catalog

~/miniconda3/envs/py39/lib/python3.9/site-packages/intake/catalog/local.py in _create_open_args(self, user_parameters)
    261
    262         if len(self._plugin) == 0:
--> 263             raise ValueError('No plugins loaded for this entry: %s\n'
    264                              'A listing of installable plugins can be found '
    265                              'at https://intake.readthedocs.io/en/latest/plugin'

ValueError: No plugins loaded for this entry: parquet
A listing of installable plugins can be found at https://intake.readthedocs.io/en/latest/plugin-directory.html .

For reference, this is the code in 0.7.3:
import os

try:
    from intake import open_catalog
except:
    raise ImportError('Loading hvPlot sample data requires intake '
                      'and intake-parquet. Install it using conda or '
                      'pip before loading data.')

How can intake throw a ValueError??
Complete, minimal, self-contained example code that reproduces the issue

Have only the package intake installed, no other intake-subpackages.
Execute : from hvplot.sample_data import us_crime, airline_flights

# code goes here between backticks
from hvplot.sample_data import us_crime, airline_flights

Stack traceback and/or browser JavaScript console output
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/tmp/ipykernel_3185062/1788543639.py in <module>
----> 1 from hvplot.sample_data import us_crime, airline_flights

~/miniconda3/envs/py39/lib/python3.9/site-packages/hvplot/sample_data.py in <module>
     23 # Add catalogue entries to namespace
     24 for _c in catalogue:
---> 25     globals()[_c] = catalogue[_c]

~/miniconda3/envs/py39/lib/python3.9/site-packages/intake/catalog/base.py in __getitem__(self, key)
    398             if e.container == 'catalog':
    399                 return e(name=key)
--> 400             return e()
    401         if isinstance(key, str) and '.' in key:
    402             key = key.split('.')

~/miniconda3/envs/py39/lib/python3.9/site-packages/intake/catalog/entry.py in __call__(self, persist, **kwargs)
     75             raise ValueError('Persist value (%s) not understood' % persist)
     76         persist = persist or self._pmode
---> 77         s = self.get(**kwargs)
     78         if persist != 'never' and isinstance(s, PersistMixin) and s.has_been_persisted:
     79             from ..container.persist import store

~/miniconda3/envs/py39/lib/python3.9/site-packages/intake/catalog/local.py in get(self, **user_parameters)
    287             return self._default_source
    288
--> 289         plugin, open_args = self._create_open_args(user_parameters)
    290         data_source = plugin(**open_args)
    291         data_source.catalog_object = self._catalog

~/miniconda3/envs/py39/lib/python3.9/site-packages/intake/catalog/local.py in _create_open_args(self, user_parameters)
    261
    262         if len(self._plugin) == 0:
--> 263             raise ValueError('No plugins loaded for this entry: %s\n'
    264                              'A listing of installable plugins can be found '
    265                              'at https://intake.readthedocs.io/en/latest/plugin'

ValueError: No plugins loaded for this entry: parquet
A listing of installable plugins can be found at https://intake.readthedocs.io/en/latest/plugin-directory.html .

Additional info
The list of required package is now this:

intake-parquet
intake-xarray
s3fs

Ah, doh, it's not the import fails, but the code after the import:
24 for _c in catalogue:
---> 25     globals()[_c] = catalogue[_c]

I'm having a hard time reproducing this in a notebook due to the usage of __file__, would it be okay for a PR to use importlib.resources to find the path to the datasets.yaml file?

Maybe the import should add import intake_parquet within try to be sure to raise the exception when that plugin is not installed?

yes, but if that trial import is acceptable (wasn't sure about performance), then I'd add intake-xarray, and s3fs as well, as those are also required? (Which makes this bug annoying as one needs to try it 3 times, before learning all those 3 missing packages.. . ;)

I would have thought those would be recursive  subdependencies, but if not, then yes, import all those in the try block as well. To make it fail more quickly when it will fail, the first import should be the one most likely to fail (i.e. least likely to be installed in a typical environment), which I'd guess here would be intake_parquet.

They seem to be independent packages:
❯ mamba info intake-xarray=0.5

intake-xarray 0.5.0 pyhd8ed1ab_0
--------------------------------
file name   : intake-xarray-0.5.0-pyhd8ed1ab_0.tar.bz2
name        : intake-xarray
version     : 0.5.0
build string: pyhd8ed1ab_0
build number: 0
channel     : https://conda.anaconda.org/conda-forge/noarch
size        : 1.4 MB
arch        : None
constrains  : ()
license     : BSD-2-Clause
license_family: BSD
md5         : 43d9d1c90da0b2b28cc16e58a52a0f2b
noarch      : python
package_type: noarch_python
platform    : None
sha256      : 91a388e5eb015b192bc17de04c55b102576d1c1b08571a80a1a9a1bc6c878f91
subdir      : noarch
timestamp   : 1616085245631
url         : https://conda.anaconda.org/conda-forge/noarch/intake-xarray-0.5.0-pyhd8ed1ab_0.tar.bz2
dependencies:
    dask >=2.2
    intake >=0.5.2
    netcdf4
    python >=3.5
    xarray >=0.12.0
    zarr
WARNING: 'conda info package_name' is deprecated.
          Use 'conda search package_name --info'.

site-packages/hvplot/examples via 🐍 v3.9.9 via 🅒 py39 took 5s
❯ mamba search intake-parquet
Loading channels: done
# Name                       Version           Build  Channel
intake-parquet                 0.2.1            py_0  conda-forge
intake-parquet                 0.2.2            py_0  conda-forge
intake-parquet                 0.2.3            py_0  conda-forge

site-packages/hvplot/examples via 🐍 v3.9.9 via 🅒 py39 took 5s
❯ mamba info intake-parquet=0.2.3

intake-parquet 0.2.3 py_0
-------------------------
file name   : intake-parquet-0.2.3-py_0.tar.bz2
name        : intake-parquet
version     : 0.2.3
build string: py_0
build number: 0
channel     : https://conda.anaconda.org/conda-forge/noarch
size        : 10 KB
arch        : None
constrains  : ()
license     : BSD-2-Clause
license_family: BSD
md5         : b7d04be2fb7b43946cf06dc5f7f04ad1
noarch      : python
package_type: noarch_python
platform    : None
sha256      : 2981d0998aa3e30713c6b2012a4557e77b70ed6e04778f9365c4fdeb593576ca
subdir      : noarch
timestamp   : 1573509119874
url         : https://conda.anaconda.org/conda-forge/noarch/intake-parquet-0.2.3-py_0.tar.bz2
dependencies:
    dask
    fastparquet
    intake >=0.3
    jinja2
    pandas
    pyarrow
    python >=3.5
WARNING: 'conda info package_name' is deprecated.
          Use 'conda search package_name --info'.

and s3fs is obviously unrelated. Will play with it and then submit a PR.

Saw the same thing in #562.
I still feel like it is a lot to install just to run the second page in a user guide. Why not just download the data with request or urllib like e.g. bokeh does?

well, b/c in the old way, basically everybody is writing a mini-download manager, as one can see from your link. I think relying on intake for data-management is a good thing that should be pushed further.
However, I agree this needs to be carefully balanced with tutorial hurdles, which should always be minimized, which is why I reported this as a bug. One should never have a user guide step fail 3 times.
Possibly one should simply add the above 4 packages to a user guide prep section?

I just think it is a lot to ask for new users to download 4 packages just to get access to a 8 KB file (us-crime) and a 15 MB (airline_flights) file.  I just tried to see if I could run the Plotting page from a clean environment:
Created the environment with mamba create -n hvplot_example python=3.8 hvplot jupyterlab
First cell needed to install dask.
Second cell needed to install intake intake-parquet intake-xarray s3fs.
Third cell needed to install IProgress, afterwards it raises a FileNotFoundError? Then I tried to change cell to:
import dask.dataframe as dd
flights = dd.read_parquet("s3://assets.holoviews.org/data/airline_flights.parq").persist()
print(type(flights))
flights.head()

But this gives a NoCredentialsError: Unable to locate credentials. Got this to work by changing s3 to http.
To run the bivariate plot I needed to install scipy.
For the section Large Data to run I needed datashader.
Other things I noticed when trying to get the notebook to work:

The links in hvplot namespace do not work as they should be lowercase.
I don't think you explicit need to run .compute on dask dataframe anymore to use hvplot (but I could be wrong).
The import error for datashader references the name datashading instead of datashader.

I will properly make a PR for 1 and 3 today.

Hi,
New hvPlot user here (or at least trying) and I'm having exactly ALL the issue @Hoxbro is describing. I've been 3 HOURS trying to work out the first user guide example until I found this issue on GitHub.
Agree with @Hoxbro , this is just too much hustle to start off with hvPlot and I haven't even been able to ran 2 lines of code. Honestly, I'm about to give up.
Take it as an example of a random person trying out a new ploting library as hvPlot anf having this "experience" right away.
I don't want to ve mean, this is just my opinion so maybe things could be made smoother for a first experience with the API.

@michaelaye could you get this to work?
flights = airline_flights.to_dask().persist()
print(type(flights))
flights.head()

yes. which step fails for you? Did you install the missing libraries?

intake-parquet
intake-xarray
s3fs

Installed all of them. It just fails with the following message:
OSError                                   Traceback (most recent call last)
Input In [3], in <module>
----> 1 flights = airline_flights.to_dask().persist()
      2 print(type(flights))
      3 flights.head()

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/intake_parquet/source.py:99, in ParquetSource.to_dask(self)
     98 def to_dask(self):
---> 99     self._load_metadata()
    100     return self._df

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/intake/source/base.py:236, in DataSourceBase._load_metadata(self)
    234 """load metadata only if needed"""
    235 if self._schema is None:
--> 236     self._schema = self._get_schema()
    237     self.dtype = self._schema.dtype
    238     self.shape = self._schema.shape

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/intake_parquet/source.py:60, in ParquetSource._get_schema(self)
     58 def _get_schema(self):
     59     if self._df is None:
---> 60         self._df = self._to_dask()
     61     dtypes = {k: str(v) for k, v in self._df._meta.dtypes.items()}
     62     self._schema = base.Schema(datashape=None,
     63                                dtype=dtypes,
     64                                shape=(None, len(self._df.columns)),
     65                                npartitions=self._df.npartitions,
     66                                extra_metadata={})

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/intake_parquet/source.py:108, in ParquetSource._to_dask(self)
    106 import dask.dataframe as dd
    107 urlpath = self._get_cache(self._urlpath)[0]
--> 108 self._df = dd.read_parquet(urlpath,
    109                            storage_options=self._storage_options, **self._kwargs)
    110 self._load_metadata()
    111 return self._df

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/dask/dataframe/io/parquet/core.py:400, in read_parquet(path, columns, filters, categories, index, storage_options, engine, gather_statistics, ignore_metadata_file, metadata_task_size, split_row_groups, chunksize, aggregate_files, **kwargs)
    397         raise ValueError("read_parquet options require gather_statistics=True")
    398     gather_statistics = True
--> 400 read_metadata_result = engine.read_metadata(
    401     fs,
    402     paths,
    403     categories=categories,
    404     index=index,
    405     gather_statistics=gather_statistics,
    406     filters=filters,
    407     split_row_groups=split_row_groups,
    408     chunksize=chunksize,
    409     aggregate_files=aggregate_files,
    410     ignore_metadata_file=ignore_metadata_file,
    411     metadata_task_size=metadata_task_size,
    412     **kwargs,
    413 )
    415 # In the future, we may want to give the engine the
    416 # option to return a dedicated element for `common_kwargs`.
    417 # However, to avoid breaking the API, we just embed this
    418 # data in the first element of `parts` for now.
    419 # The logic below is inteded to handle backward and forward
    420 # compatibility with a user-defined engine.
    421 meta, statistics, parts, index = read_metadata_result[:4]

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/dask/dataframe/io/parquet/fastparquet.py:862, in FastParquetEngine.read_metadata(cls, fs, paths, categories, index, gather_statistics, filters, split_row_groups, chunksize, aggregate_files, ignore_metadata_file, metadata_task_size, **kwargs)
    844 @classmethod
    845 def read_metadata(
    846     cls,
   (...)
    860
    861     # Stage 1: Collect general dataset information
--> 862     dataset_info = cls._collect_dataset_info(
    863         paths,
    864         fs,
    865         categories,
    866         index,
    867         gather_statistics,
    868         filters,
    869         split_row_groups,
    870         chunksize,
    871         aggregate_files,
    872         ignore_metadata_file,
    873         metadata_task_size,
    874         kwargs,
    875     )
    877     # Stage 2: Generate output `meta`
    878     meta = cls._create_dd_meta(dataset_info)

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/dask/dataframe/io/parquet/fastparquet.py:473, in FastParquetEngine._collect_dataset_info(cls, paths, fs, categories, index, gather_statistics, filters, split_row_groups, chunksize, aggregate_files, ignore_metadata_file, metadata_task_size, kwargs)
    469 else:
    470     # Rely on metadata for 0th file.
    471     # Will need to pass a list of paths to read_partition
    472     scheme = get_file_scheme(fns)
--> 473     pf = ParquetFile(
    474         paths[:1], open_with=fs.open, root=base, **dataset_kwargs
    475     )
    476     pf.file_scheme = scheme
    477     pf.cats = paths_to_cats(fns, scheme)

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/api.py:113, in ParquetFile.__init__(self, fn, verify, open_with, root, sep, fs, pandas_nulls)
    111     fs = getattr(open_with, "__self__", None)
    112 if isinstance(fn, (tuple, list)):
--> 113     basepath, fmd = metadata_from_many(fn, verify_schema=verify,
    114                                        open_with=open_with, root=root,
    115                                        fs=fs)
    116     self.fn = join_path(basepath, '_metadata') if basepath \
    117               else '_metadata'
    118     self.fmd = fmd

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/util.py:179, in metadata_from_many(file_list, verify_schema, open_with, root, fs)
    176 elif all(not isinstance(pf, api.ParquetFile) for pf in file_list):
    178     if verify_schema or fs is None or len(file_list) < 3:
--> 179         pfs = [api.ParquetFile(fn, open_with=open_with) for fn in file_list]
    180     else:
    181         # activate new code path here
    182         f0 = file_list[0]

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/util.py:179, in <listcomp>(.0)
    176 elif all(not isinstance(pf, api.ParquetFile) for pf in file_list):
    178     if verify_schema or fs is None or len(file_list) < 3:
--> 179         pfs = [api.ParquetFile(fn, open_with=open_with) for fn in file_list]
    180     else:
    181         # activate new code path here
    182         f0 = file_list[0]

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/api.py:137, in ParquetFile.__init__(self, fn, verify, open_with, root, sep, fs, pandas_nulls)
    135     self.fn = join_path(fn)
    136     with open_with(fn, 'rb') as f:
--> 137         self._parse_header(f, verify)
    138 elif "*" in fn or fs.isdir(fn):
    139     fn2 = join_path(fn, '_metadata')

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/api.py:179, in ParquetFile._parse_header(self, f, verify)
    177 if verify:
    178     assert f.read(4) == b'PAR1'
--> 179 f.seek(-8, 2)
    180 head_size = struct.unpack('<I', f.read(4))[0]
    181 if verify:

OSError: [Errno 22] Invalid argument

My environment
# packages in environment at /home/shh/miniconda3/envs/tmp:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       1_gnu    conda-forge
aiobotocore               2.1.0              pyhd8ed1ab_0    conda-forge
aiohttp                   3.8.1            py38h497a2fe_0    conda-forge
aioitertools              0.9.0              pyhd8ed1ab_0    conda-forge
aiosignal                 1.2.0              pyhd8ed1ab_0    conda-forge
anyio                     3.5.0            py38h578d9bd_0    conda-forge
appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
argon2-cffi               21.3.0             pyhd8ed1ab_0    conda-forge
argon2-cffi-bindings      21.2.0           py38h497a2fe_1    conda-forge
arrow-cpp                 2.0.0           py38h496fee2_15_cpu    conda-forge
asciitree                 0.3.3                      py_2    conda-forge
asttokens                 2.0.5              pyhd8ed1ab_0    conda-forge
async-timeout             4.0.2              pyhd8ed1ab_0    conda-forge
attrs                     21.4.0             pyhd8ed1ab_0    conda-forge
aws-c-common              0.4.59               h36c2ea0_1    conda-forge
aws-c-event-stream        0.1.6                had2084c_6    conda-forge
aws-checksums             0.1.10               h4e93380_0    conda-forge
aws-sdk-cpp               1.8.70               h57dc084_1    conda-forge
babel                     2.9.1              pyh44b312d_0    conda-forge
backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
backports                 1.0                        py_2    conda-forge
backports.functools_lru_cache 1.6.4              pyhd8ed1ab_0    conda-forge
black                     22.1.0             pyhd8ed1ab_0    conda-forge
bleach                    4.1.0              pyhd8ed1ab_0    conda-forge
bokeh                     2.4.2            py38h578d9bd_0    conda-forge
botocore                  1.23.24            pyhd8ed1ab_0    conda-forge
brotli                    1.0.9                h7f98852_6    conda-forge
brotli-bin                1.0.9                h7f98852_6    conda-forge
brotlipy                  0.7.0           py38h497a2fe_1003    conda-forge
bzip2                     1.0.8                h7f98852_4    conda-forge
c-ares                    1.18.1               h7f98852_0    conda-forge
ca-certificates           2021.10.8            ha878542_0    conda-forge
certifi                   2021.10.8        py38h578d9bd_1    conda-forge
cffi                      1.15.0           py38h3931269_0    conda-forge
cftime                    1.5.2            py38h6c62de6_0    conda-forge
charset-normalizer        2.0.12             pyhd8ed1ab_0    conda-forge
click                     8.0.4            py38h578d9bd_0    conda-forge
cloudpickle               2.0.0              pyhd8ed1ab_0    conda-forge
colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
colorcet                  3.0.0                      py_0    pyviz
cramjam                   2.5.0            py38ha8db356_0    conda-forge
cryptography              36.0.0           py38h9ce1e76_0
curl                      7.81.0               h494985f_0    conda-forge
cycler                    0.11.0             pyhd8ed1ab_0    conda-forge
cytoolz                   0.11.2           py38h497a2fe_1    conda-forge
dask                      2022.2.0           pyhd8ed1ab_0    conda-forge
dask-core                 2022.2.0           pyhd8ed1ab_0    conda-forge
dataclasses               0.8                pyhc8e2a94_3    conda-forge
datashader                0.13.0                     py_0    pyviz
datashape                 0.5.4                      py_1    conda-forge
debugpy                   1.5.1            py38h709712a_0    conda-forge
decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge
distributed               2022.2.0         py38h578d9bd_0    conda-forge
entrypoints               0.4                pyhd8ed1ab_0    conda-forge
executing                 0.8.2              pyhd8ed1ab_0    conda-forge
fasteners                 0.17.3             pyhd8ed1ab_0    conda-forge
fastparquet               0.8.0            py38h6c62de6_1    conda-forge
flit-core                 3.6.0              pyhd8ed1ab_0    conda-forge
freetype                  2.10.4               h0708190_1    conda-forge
frozenlist                1.3.0            py38h497a2fe_0    conda-forge
fsspec                    2022.1.0           pyhd8ed1ab_0    conda-forge
gflags                    2.2.2             he1b5a44_1004    conda-forge
glog                      0.4.0                h49b9bf7_3    conda-forge
grpc-cpp                  1.34.1               h2157cd5_4
hdf4                      4.2.15               h10796ff_3    conda-forge
hdf5                      1.12.1          nompi_h7f166f4_103    conda-forge
heapdict                  1.0.1                      py_0    conda-forge
holoviews                 1.14.8                     py_0    pyviz
hvplot                    0.7.3                      py_0    pyviz
idna                      3.3                pyhd8ed1ab_0    conda-forge
importlib-metadata        4.11.1           py38h578d9bd_0    conda-forge
importlib_metadata        4.11.1               hd8ed1ab_0    conda-forge
importlib_resources       5.4.0              pyhd8ed1ab_0    conda-forge
intake                    0.6.5              pyhd8ed1ab_0    conda-forge
intake-parquet            0.2.3                      py_0    conda-forge
intake-xarray             0.6.0              pyhd8ed1ab_0    conda-forge
iprogress                 0.4                        py_0    conda-forge
ipykernel                 6.9.1            py38he5a9106_0    conda-forge
ipython                   8.0.1            py38h578d9bd_2    conda-forge
ipython_genutils          0.2.0                      py_1    conda-forge
jedi                      0.18.1           py38h578d9bd_0    conda-forge
jinja2                    3.0.3              pyhd8ed1ab_0    conda-forge
jmespath                  0.10.0             pyh9f0ad1d_0    conda-forge
jpeg                      9e                   h7f98852_0    conda-forge
json5                     0.9.5              pyh9f0ad1d_0    conda-forge
jsonschema                4.4.0              pyhd8ed1ab_0    conda-forge
jupyter_client            7.1.2              pyhd8ed1ab_0    conda-forge
jupyter_core              4.9.2            py38h578d9bd_0    conda-forge
jupyter_server            1.13.5             pyhd8ed1ab_1    conda-forge
jupyterlab                3.2.9              pyhd8ed1ab_0    conda-forge
jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
jupyterlab_server         2.10.3             pyhd8ed1ab_0    conda-forge
kiwisolver                1.3.2            py38h1fd1430_1    conda-forge
krb5                      1.19.2               h48eae69_3    conda-forge
lcms2                     2.12                 hddcbb42_0    conda-forge
ld_impl_linux-64          2.36.1               hea4e1c9_2    conda-forge
libblas                   3.9.0           13_linux64_openblas    conda-forge
libbrotlicommon           1.0.9                h7f98852_6    conda-forge
libbrotlidec              1.0.9                h7f98852_6    conda-forge
libbrotlienc              1.0.9                h7f98852_6    conda-forge
libcblas                  3.9.0           13_linux64_openblas    conda-forge
libcurl                   7.81.0               h494985f_0    conda-forge
libedit                   3.1.20191231         he28a2e2_2    conda-forge
libev                     4.33                 h516909a_1    conda-forge
libevent                  2.1.10               h28343ad_4    conda-forge
libffi                    3.4.2                h7f98852_5    conda-forge
libgcc-ng                 11.2.0              h1d223b6_12    conda-forge
libgfortran-ng            11.2.0              h69a702a_12    conda-forge
libgfortran5              11.2.0              h5c6108e_12    conda-forge
libgomp                   11.2.0              h1d223b6_12    conda-forge
liblapack                 3.9.0           13_linux64_openblas    conda-forge
libllvm10                 10.0.1               he513fc3_3    conda-forge
libnetcdf                 4.8.1           nompi_hb3fd0d9_101    conda-forge
libnghttp2                1.46.0               ha19adfc_0    conda-forge
libnsl                    2.0.0                h7f98852_0    conda-forge
libopenblas               0.3.18          pthreads_h8fe5266_0    conda-forge
libpng                    1.6.37               h21135ba_2    conda-forge
libprotobuf               3.14.0               h780b84a_0    conda-forge
libsodium                 1.0.18               h36c2ea0_1    conda-forge
libssh2                   1.10.0               ha35d2d1_2    conda-forge
libstdcxx-ng              11.2.0              he4da1e4_12    conda-forge
libthrift                 0.13.0               hfb8234f_6
libtiff                   4.2.0                hbd63e13_2    conda-forge
libutf8proc               2.7.0                h7f98852_0    conda-forge
libwebp-base              1.2.2                h7f98852_1    conda-forge
libzip                    1.8.0                h1c5bbd1_1    conda-forge
libzlib                   1.2.11            h36c2ea0_1013    conda-forge
llvmlite                  0.36.0           py38h4630a5e_0    conda-forge
locket                    0.2.0                      py_2    conda-forge
lz4-c                     1.9.3                h9c3ff4c_1    conda-forge
markdown                  3.3.6              pyhd8ed1ab_0    conda-forge
markupsafe                2.1.0            py38h0a891b7_0    conda-forge
matplotlib                3.3.2                         0    conda-forge
matplotlib-base           3.3.2            py38h5c7f4ab_1    conda-forge
matplotlib-inline         0.1.3              pyhd8ed1ab_0    conda-forge
mistune                   0.8.4           py38h497a2fe_1005    conda-forge
msgpack-python            1.0.3            py38h1fd1430_0    conda-forge
multidict                 6.0.2            py38h497a2fe_0    conda-forge
multipledispatch          0.6.0                      py_0    conda-forge
mypy_extensions           0.4.3            py38h578d9bd_4    conda-forge
nbclassic                 0.3.5              pyhd8ed1ab_0    conda-forge
nbclient                  0.5.11             pyhd8ed1ab_0    conda-forge
nbconvert                 6.4.2            py38h578d9bd_0    conda-forge
nbformat                  5.1.3              pyhd8ed1ab_0    conda-forge
ncurses                   6.3                  h9c3ff4c_0    conda-forge
nest-asyncio              1.5.4              pyhd8ed1ab_0    conda-forge
netcdf4                   1.5.8           nompi_py38h2823cc8_101    conda-forge
notebook                  6.4.8              pyha770c72_0    conda-forge
numba                     0.53.1           py38h8b71fd7_1    conda-forge
numcodecs                 0.9.1            py38h709712a_2    conda-forge
numpy                     1.22.2           py38h6ae9a64_0    conda-forge
olefile                   0.46               pyh9f0ad1d_1    conda-forge
openjpeg                  2.4.0                hb52868f_1    conda-forge
openssl                   3.0.0                h7f98852_2    conda-forge
orc                       1.6.6                h7950760_1    conda-forge
packaging                 21.3               pyhd8ed1ab_0    conda-forge
pandas                    1.4.1            py38h43a58ef_0    conda-forge
pandoc                    2.17.1.1             ha770c72_0    conda-forge
pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
panel                     0.12.6                     py_0    pyviz
param                     1.12.0                     py_0    pyviz
parquet-cpp               1.5.1                         2    conda-forge
parso                     0.8.3              pyhd8ed1ab_0    conda-forge
partd                     1.2.0              pyhd8ed1ab_0    conda-forge
pathspec                  0.9.0              pyhd8ed1ab_0    conda-forge
pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
pickleshare               0.7.5                   py_1003    conda-forge
pillow                    8.2.0            py38ha0e1e83_1    conda-forge
pip                       22.0.3             pyhd8ed1ab_0    conda-forge
platformdirs              2.5.1              pyhd8ed1ab_0    conda-forge
prometheus_client         0.13.1             pyhd8ed1ab_0    conda-forge
prompt-toolkit            3.0.27             pyha770c72_0    conda-forge
psutil                    5.9.0            py38h497a2fe_0    conda-forge
ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
pure_eval                 0.2.2              pyhd8ed1ab_0    conda-forge
pyarrow                   2.0.0           py38h842ea0c_15_cpu    conda-forge
pycparser                 2.21               pyhd8ed1ab_0    conda-forge
pyct                      0.4.8                      py_0    pyviz
pyct-core                 0.4.8                      py_0    pyviz
pygments                  2.11.2             pyhd8ed1ab_0    conda-forge
pyopenssl                 22.0.0             pyhd8ed1ab_0    conda-forge
pyparsing                 3.0.7              pyhd8ed1ab_0    conda-forge
pyrsistent                0.18.1           py38h497a2fe_0    conda-forge
pysocks                   1.7.1            py38h578d9bd_4    conda-forge
python                    3.8.12          h0744224_3_cpython    conda-forge
python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge
python_abi                3.8                      2_cp38    conda-forge
pytz                      2021.3             pyhd8ed1ab_0    conda-forge
pyviz_comms               2.1.0                      py_0    pyviz
pyyaml                    6.0              py38h497a2fe_3    conda-forge
pyzmq                     22.3.0           py38h2035c66_1    conda-forge
re2                       2020.11.01           h58526e2_0    conda-forge
readline                  8.1                  h46c0cb4_0    conda-forge
requests                  2.27.1             pyhd8ed1ab_0    conda-forge
s3fs                      2022.1.0           pyhd8ed1ab_0    conda-forge
scipy                     1.8.0            py38h56a6a73_1    conda-forge
send2trash                1.8.0              pyhd8ed1ab_0    conda-forge
setuptools                59.8.0           py38h578d9bd_0    conda-forge
six                       1.16.0             pyh6c4a22f_0    conda-forge
snappy                    1.1.8                he1b5a44_3    conda-forge
sniffio                   1.2.0            py38h578d9bd_2    conda-forge
sortedcontainers          2.4.0              pyhd8ed1ab_0    conda-forge
sqlite                    3.37.0               h9cd32fc_0    conda-forge
stack_data                0.2.0              pyhd8ed1ab_0    conda-forge
tblib                     1.7.0              pyhd8ed1ab_0    conda-forge
terminado                 0.13.1           py38h578d9bd_0    conda-forge
testpath                  0.5.0              pyhd8ed1ab_0    conda-forge
tk                        8.6.12               h27826a3_0    conda-forge
tomli                     2.0.1              pyhd8ed1ab_0    conda-forge
toolz                     0.11.2             pyhd8ed1ab_0    conda-forge
tornado                   6.1              py38h497a2fe_2    conda-forge
tqdm                      4.62.3             pyhd8ed1ab_0    conda-forge
traitlets                 5.1.1              pyhd8ed1ab_0    conda-forge
typed-ast                 1.5.2            py38h497a2fe_0    conda-forge
typing-extensions         4.1.1                hd8ed1ab_0    conda-forge
typing_extensions         4.1.1              pyha770c72_0    conda-forge
urllib3                   1.26.8             pyhd8ed1ab_1    conda-forge
wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
webencodings              0.5.1                      py_1    conda-forge
websocket-client          1.2.3              pyhd8ed1ab_0    conda-forge
wheel                     0.37.1             pyhd8ed1ab_0    conda-forge
wrapt                     1.13.3           py38h497a2fe_1    conda-forge
xarray                    0.21.1             pyhd8ed1ab_0    conda-forge
xz                        5.2.5                h516909a_1    conda-forge
yaml                      0.2.5                h7f98852_2    conda-forge
yarl                      1.7.2            py38h497a2fe_1    conda-forge
zarr                      2.11.0             pyhd8ed1ab_0    conda-forge
zeromq                    4.3.4                h9c3ff4c_1    conda-forge
zict                      2.0.0                      py_0    conda-forge
zipp                      3.7.0              pyhd8ed1ab_1    conda-forge
zlib                      1.2.11            h36c2ea0_1013    conda-forge
zstd                      1.4.9                ha95c52a_0    conda-forge

Your information is inconsistent. An environment created with that mamba conmmand does not end up having pyviz/holoviews  packages from the pyviz channel, unless you put the pyviz channel in the base conda config higher in conda priority than conda-forge? I wouldn't do that as I believe packages in conda-forge receive a better fit-to-all check than packages from outside entities.
What is the output of conda config --show-sources ?
What is your OS?
I just did mamba create -n tmp python=3.8 hvplot jupyterlab dask intake intake-parquet intake-xarray s3fs IProgress scipy datashader on my linux machine, conda activate tmp, and then
from hvplot.sample_data import airline_flights
flights = airline_flights.to_dask().persist()
print(flights.compute().head())

without any issue.
I noticed that the environment created by above mamba command had several newer packages than yours (libthrift and grpc-cpp) but also some older (pyct and pyct-core are 0.4.6 in my tmp env).
I'll try Mac now to see what I get there.

wow, just adding conda config --add channels pyviz makes mamba not even be able to find a working set, that's how bad it is to add the pyviz channel. I cleanly work from conda-forge only with very very few exceptions for things only being on pypi and have never (or very rarely) see mamba fail to resolve things.

No issues on my Mac either. Here's what I get when I do:
 conda config --show-sources
==> /home/maye/miniconda3/.condarc <==
channels:
  - conda-forge

==> /home/maye/.condarc <==
channel_priority: strict
channels: []
report_errors: True

Ok, i managed to create an environment very similar to yours by adding pyviz as a channel and setting my channel_priority to flexible. However, everything works fine still with the hvplot airline data.
It might be time to blast your whole miniconda folder for having some rotten libraries somewhere.
I need to do that myself maybe once a year when something gets corrupted for being too adventurous with installing stuff.

Here's my env, for cross-checking:

My tmp env
# packages in environment at /home/maye/miniconda3/envs/tmp:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       1_gnu    conda-forge
abseil-cpp                20210324.2           h9c3ff4c_0    conda-forge
aiobotocore               2.1.0              pyhd8ed1ab_0    conda-forge
aiohttp                   3.8.1            py38h497a2fe_0    conda-forge
aioitertools              0.9.0              pyhd8ed1ab_0    conda-forge
aiosignal                 1.2.0              pyhd8ed1ab_0    conda-forge
alsa-lib                  1.2.3                h516909a_0    conda-forge
anyio                     3.5.0            py38h578d9bd_0    conda-forge
appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
argon2-cffi               21.3.0             pyhd8ed1ab_0    conda-forge
argon2-cffi-bindings      21.2.0           py38h497a2fe_1    conda-forge
arrow-cpp                 7.0.0           py38hdbd6c21_2_cpu    conda-forge
asciitree                 0.3.3                      py_2    conda-forge
asttokens                 2.0.5              pyhd8ed1ab_0    conda-forge
async-timeout             4.0.2              pyhd8ed1ab_0    conda-forge
attrs                     21.4.0             pyhd8ed1ab_0    conda-forge
aws-c-cal                 0.5.11               h95a6274_0    conda-forge
aws-c-common              0.6.2                h7f98852_0    conda-forge
aws-c-event-stream        0.2.7               h3541f99_13    conda-forge
aws-c-io                  0.10.5               hfb6a706_0    conda-forge
aws-checksums             0.1.11               ha31a3da_7    conda-forge
aws-sdk-cpp               1.8.186              hb4091e7_3    conda-forge
babel                     2.9.1              pyh44b312d_0    conda-forge
backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
backports                 1.0                        py_2    conda-forge
backports.functools_lru_cache 1.6.4              pyhd8ed1ab_0    conda-forge
black                     22.1.0             pyhd8ed1ab_0    conda-forge
bleach                    4.1.0              pyhd8ed1ab_0    conda-forge
bokeh                     2.4.2            py38h578d9bd_0    conda-forge
botocore                  1.23.24            pyhd8ed1ab_0    conda-forge
brotli                    1.0.9                h7f98852_6    conda-forge
brotli-bin                1.0.9                h7f98852_6    conda-forge
brotlipy                  0.7.0           py38h497a2fe_1003    conda-forge
bzip2                     1.0.8                h7f98852_4    conda-forge
c-ares                    1.18.1               h7f98852_0    conda-forge
ca-certificates           2021.10.8            ha878542_0    conda-forge
certifi                   2021.10.8        py38h578d9bd_1    conda-forge
cffi                      1.15.0           py38h3931269_0    conda-forge
cftime                    1.5.2            py38h6c62de6_0    conda-forge
charset-normalizer        2.0.12             pyhd8ed1ab_0    conda-forge
click                     8.0.4            py38h578d9bd_0    conda-forge
cloudpickle               2.0.0              pyhd8ed1ab_0    conda-forge
colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
colorcet                  3.0.0                      py_0    pyviz
cramjam                   2.5.0            py38ha8db356_0    conda-forge
cryptography              36.0.1           py38h3e25421_0    conda-forge
curl                      7.81.0               h2574ce0_0    conda-forge
cycler                    0.11.0             pyhd8ed1ab_0    conda-forge
cytoolz                   0.11.2           py38h497a2fe_1    conda-forge
dask                      2022.2.0           pyhd8ed1ab_0    conda-forge
dask-core                 2022.2.0           pyhd8ed1ab_0    conda-forge
dataclasses               0.8                pyhc8e2a94_3    conda-forge
datashader                0.13.0                     py_0    pyviz
datashape                 0.5.4                      py_1    conda-forge
dbus                      1.13.6               h5008d03_3    conda-forge
debugpy                   1.5.1            py38h709712a_0    conda-forge
decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge
distributed               2022.2.0         py38h578d9bd_0    conda-forge
entrypoints               0.4                pyhd8ed1ab_0    conda-forge
executing                 0.8.2              pyhd8ed1ab_0    conda-forge
expat                     2.4.4                h9c3ff4c_0    conda-forge
fasteners                 0.17.3             pyhd8ed1ab_0    conda-forge
fastparquet               0.8.0            py38h6c62de6_1    conda-forge
flit-core                 3.6.0              pyhd8ed1ab_0    conda-forge
font-ttf-dejavu-sans-mono 2.37                 hab24e00_0    conda-forge
font-ttf-inconsolata      3.000                h77eed37_0    conda-forge
font-ttf-source-code-pro  2.038                h77eed37_0    conda-forge
font-ttf-ubuntu           0.83                 hab24e00_0    conda-forge
fontconfig                2.13.96              ha180cfb_0    conda-forge
fonts-conda-ecosystem     1                             0    conda-forge
fonts-conda-forge         1                             0    conda-forge
fonttools                 4.29.1           py38h497a2fe_0    conda-forge
freetype                  2.10.4               h0708190_1    conda-forge
frozenlist                1.3.0            py38h497a2fe_0    conda-forge
fsspec                    2022.1.0           pyhd8ed1ab_0    conda-forge
gettext                   0.19.8.1          h73d1719_1008    conda-forge
gflags                    2.2.2             he1b5a44_1004    conda-forge
giflib                    5.2.1                h36c2ea0_2    conda-forge
glog                      0.5.0                h48cff8f_0    conda-forge
grpc-cpp                  1.43.2               h9e046d8_1    conda-forge
gst-plugins-base          1.18.5               hf529b03_3    conda-forge
gstreamer                 1.18.5               h9f60fe5_3    conda-forge
hdf4                      4.2.15               h10796ff_3    conda-forge
hdf5                      1.12.1          nompi_h2750804_103    conda-forge
heapdict                  1.0.1                      py_0    conda-forge
holoviews                 1.14.8                     py_0    pyviz
hvplot                    0.7.3                      py_0    pyviz
icu                       69.1                 h9c3ff4c_0    conda-forge
idna                      3.3                pyhd8ed1ab_0    conda-forge
importlib-metadata        4.11.1           py38h578d9bd_0    conda-forge
importlib_metadata        4.11.1               hd8ed1ab_0    conda-forge
importlib_resources       5.4.0              pyhd8ed1ab_0    conda-forge
intake                    0.6.5              pyhd8ed1ab_0    conda-forge
intake-parquet            0.2.3                      py_0    conda-forge
intake-xarray             0.6.0              pyhd8ed1ab_0    conda-forge
iprogress                 0.4                        py_0    conda-forge
ipykernel                 6.9.1            py38he5a9106_0    conda-forge
ipython                   8.0.1            py38h578d9bd_2    conda-forge
ipython_genutils          0.2.0                      py_1    conda-forge
jbig                      2.1               h7f98852_2003    conda-forge
jedi                      0.18.1           py38h578d9bd_0    conda-forge
jinja2                    3.0.3              pyhd8ed1ab_0    conda-forge
jmespath                  0.10.0             pyh9f0ad1d_0    conda-forge
jpeg                      9e                   h7f98852_0    conda-forge
json5                     0.9.5              pyh9f0ad1d_0    conda-forge
jsonschema                4.4.0              pyhd8ed1ab_0    conda-forge
jupyter_client            7.1.2              pyhd8ed1ab_0    conda-forge
jupyter_core              4.9.2            py38h578d9bd_0    conda-forge
jupyter_server            1.13.5             pyhd8ed1ab_1    conda-forge
jupyterlab                3.2.9              pyhd8ed1ab_0    conda-forge
jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
jupyterlab_server         2.10.3             pyhd8ed1ab_0    conda-forge
kiwisolver                1.3.2            py38h1fd1430_1    conda-forge
krb5                      1.19.2               hcc1bbae_3    conda-forge
lcms2                     2.12                 hddcbb42_0    conda-forge
ld_impl_linux-64          2.36.1               hea4e1c9_2    conda-forge
lerc                      3.0                  h9c3ff4c_0    conda-forge
libblas                   3.9.0           13_linux64_openblas    conda-forge
libbrotlicommon           1.0.9                h7f98852_6    conda-forge
libbrotlidec              1.0.9                h7f98852_6    conda-forge
libbrotlienc              1.0.9                h7f98852_6    conda-forge
libcblas                  3.9.0           13_linux64_openblas    conda-forge
libclang                  13.0.1          default_hc23dcda_0    conda-forge
libcrc32c                 1.1.2                h9c3ff4c_0    conda-forge
libcurl                   7.81.0               h2574ce0_0    conda-forge
libdeflate                1.10                 h7f98852_0    conda-forge
libedit                   3.1.20191231         he28a2e2_2    conda-forge
libev                     4.33                 h516909a_1    conda-forge
libevent                  2.1.10               h9b69904_4    conda-forge
libffi                    3.4.2                h7f98852_5    conda-forge
libgcc-ng                 11.2.0              h1d223b6_12    conda-forge
libgfortran-ng            11.2.0              h69a702a_12    conda-forge
libgfortran5              11.2.0              h5c6108e_12    conda-forge
libglib                   2.70.2               h174f98d_4    conda-forge
libgomp                   11.2.0              h1d223b6_12    conda-forge
libgoogle-cloud           1.35.0               h6945097_2    conda-forge
libiconv                  1.16                 h516909a_0    conda-forge
liblapack                 3.9.0           13_linux64_openblas    conda-forge
libllvm10                 10.0.1               he513fc3_3    conda-forge
libllvm13                 13.0.1               hf817b99_0    conda-forge
libnetcdf                 4.8.1           nompi_hb3fd0d9_101    conda-forge
libnghttp2                1.46.0               h812cca2_0    conda-forge
libnsl                    2.0.0                h7f98852_0    conda-forge
libogg                    1.3.4                h7f98852_1    conda-forge
libopenblas               0.3.18          pthreads_h8fe5266_0    conda-forge
libopus                   1.3.1                h7f98852_1    conda-forge
libpng                    1.6.37               h21135ba_2    conda-forge
libpq                     14.2                 hd57d9b9_0    conda-forge
libprotobuf               3.19.4               h780b84a_0    conda-forge
libsodium                 1.0.18               h36c2ea0_1    conda-forge
libssh2                   1.10.0               ha56f1ee_2    conda-forge
libstdcxx-ng              11.2.0              he4da1e4_12    conda-forge
libthrift                 0.15.0               he6d91bd_1    conda-forge
libtiff                   4.3.0                h542a066_3    conda-forge
libutf8proc               2.7.0                h7f98852_0    conda-forge
libuuid                   2.32.1            h7f98852_1000    conda-forge
libvorbis                 1.3.7                h9c3ff4c_0    conda-forge
libwebp                   1.2.2                h3452ae3_0    conda-forge
libwebp-base              1.2.2                h7f98852_1    conda-forge
libxcb                    1.13              h7f98852_1004    conda-forge
libxkbcommon              1.0.3                he3ba5ed_0    conda-forge
libxml2                   2.9.12               h885dcf4_1    conda-forge
libzip                    1.8.0                h4de3113_1    conda-forge
libzlib                   1.2.11            h36c2ea0_1013    conda-forge
llvmlite                  0.36.0           py38h4630a5e_0    conda-forge
locket                    0.2.0                      py_2    conda-forge
lz4-c                     1.9.3                h9c3ff4c_1    conda-forge
markdown                  3.3.6              pyhd8ed1ab_0    conda-forge
markupsafe                2.1.0            py38h0a891b7_0    conda-forge
matplotlib                3.5.1            py38h578d9bd_0    conda-forge
matplotlib-base           3.5.1            py38hf4fb855_0    conda-forge
matplotlib-inline         0.1.3              pyhd8ed1ab_0    conda-forge
mistune                   0.8.4           py38h497a2fe_1005    conda-forge
msgpack-python            1.0.3            py38h1fd1430_0    conda-forge
multidict                 6.0.2            py38h497a2fe_0    conda-forge
multipledispatch          0.6.0                      py_0    conda-forge
munkres                   1.1.4              pyh9f0ad1d_0    conda-forge
mypy_extensions           0.4.3            py38h578d9bd_4    conda-forge
mysql-common              8.0.28               ha770c72_0    conda-forge
mysql-libs                8.0.28               hfa10184_0    conda-forge
nbclassic                 0.3.5              pyhd8ed1ab_0    conda-forge
nbclient                  0.5.11             pyhd8ed1ab_0    conda-forge
nbconvert                 6.4.2            py38h578d9bd_0    conda-forge
nbformat                  5.1.3              pyhd8ed1ab_0    conda-forge
ncurses                   6.3                  h9c3ff4c_0    conda-forge
nest-asyncio              1.5.4              pyhd8ed1ab_0    conda-forge
netcdf4                   1.5.8           nompi_py38h2823cc8_101    conda-forge
notebook                  6.4.8              pyha770c72_0    conda-forge
nspr                      4.32                 h9c3ff4c_1    conda-forge
nss                       3.74                 hb5efdd6_0    conda-forge
numba                     0.53.1           py38h8b71fd7_1    conda-forge
numcodecs                 0.9.1            py38h709712a_2    conda-forge
numpy                     1.22.2           py38h6ae9a64_0    conda-forge
openjpeg                  2.4.0                hb52868f_1    conda-forge
openssl                   1.1.1l               h7f98852_0    conda-forge
orc                       1.7.3                h1be678f_0    conda-forge
packaging                 21.3               pyhd8ed1ab_0    conda-forge
pandas                    1.4.1            py38h43a58ef_0    conda-forge
pandoc                    2.17.1.1             ha770c72_0    conda-forge
pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
panel                     0.12.6                     py_0    pyviz
param                     1.12.0                     py_0    pyviz
parquet-cpp               1.5.1                         2    conda-forge
parso                     0.8.3              pyhd8ed1ab_0    conda-forge
partd                     1.2.0              pyhd8ed1ab_0    conda-forge
pathspec                  0.9.0              pyhd8ed1ab_0    conda-forge
pcre                      8.45                 h9c3ff4c_0    conda-forge
pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
pickleshare               0.7.5                   py_1003    conda-forge
pillow                    9.0.1            py38h0ee0e06_2    conda-forge
pip                       22.0.3             pyhd8ed1ab_0    conda-forge
platformdirs              2.5.1              pyhd8ed1ab_0    conda-forge
prometheus_client         0.13.1             pyhd8ed1ab_0    conda-forge
prompt-toolkit            3.0.27             pyha770c72_0    conda-forge
psutil                    5.9.0            py38h497a2fe_0    conda-forge
pthread-stubs             0.4               h36c2ea0_1001    conda-forge
ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
pure_eval                 0.2.2              pyhd8ed1ab_0    conda-forge
pyarrow                   7.0.0           py38he7e5f7d_2_cpu    conda-forge
pycparser                 2.21               pyhd8ed1ab_0    conda-forge
pyct                      0.4.8                      py_0    pyviz
pyct-core                 0.4.8                      py_0    pyviz
pygments                  2.11.2             pyhd8ed1ab_0    conda-forge
pyopenssl                 22.0.0             pyhd8ed1ab_0    conda-forge
pyparsing                 3.0.7              pyhd8ed1ab_0    conda-forge
pyqt                      5.12.3           py38h578d9bd_8    conda-forge
pyqt-impl                 5.12.3           py38h0ffb2e6_8    conda-forge
pyqt5-sip                 4.19.18          py38h709712a_8    conda-forge
pyqtchart                 5.12             py38h7400c14_8    conda-forge
pyqtwebengine             5.12.1           py38h7400c14_8    conda-forge
pyrsistent                0.18.1           py38h497a2fe_0    conda-forge
pysocks                   1.7.1            py38h578d9bd_4    conda-forge
python                    3.8.12          ha38a3c6_3_cpython    conda-forge
python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge
python_abi                3.8                      2_cp38    conda-forge
pytz                      2021.3             pyhd8ed1ab_0    conda-forge
pyviz_comms               2.1.0                      py_0    pyviz
pyyaml                    6.0              py38h497a2fe_3    conda-forge
pyzmq                     22.3.0           py38h2035c66_1    conda-forge
qt                        5.12.9               ha98a1a1_5    conda-forge
re2                       2022.02.01           h9c3ff4c_0    conda-forge
readline                  8.1                  h46c0cb4_0    conda-forge
requests                  2.27.1             pyhd8ed1ab_0    conda-forge
s2n                       1.0.10               h9b69904_0    conda-forge
s3fs                      2022.1.0           pyhd8ed1ab_0    conda-forge
scipy                     1.8.0            py38h56a6a73_1    conda-forge
send2trash                1.8.0              pyhd8ed1ab_0    conda-forge
setuptools                59.8.0           py38h578d9bd_0    conda-forge
six                       1.16.0             pyh6c4a22f_0    conda-forge
snappy                    1.1.8                he1b5a44_3    conda-forge
sniffio                   1.2.0            py38h578d9bd_2    conda-forge
sortedcontainers          2.4.0              pyhd8ed1ab_0    conda-forge
sqlite                    3.37.0               h9cd32fc_0    conda-forge
stack_data                0.2.0              pyhd8ed1ab_0    conda-forge
tblib                     1.7.0              pyhd8ed1ab_0    conda-forge
terminado                 0.13.1           py38h578d9bd_0    conda-forge
testpath                  0.5.0              pyhd8ed1ab_0    conda-forge
tk                        8.6.12               h27826a3_0    conda-forge
tomli                     2.0.1              pyhd8ed1ab_0    conda-forge
toolz                     0.11.2             pyhd8ed1ab_0    conda-forge
tornado                   6.1              py38h497a2fe_2    conda-forge
tqdm                      4.62.3             pyhd8ed1ab_0    conda-forge
traitlets                 5.1.1              pyhd8ed1ab_0    conda-forge
typed-ast                 1.5.2            py38h497a2fe_0    conda-forge
typing-extensions         4.1.1                hd8ed1ab_0    conda-forge
typing_extensions         4.1.1              pyha770c72_0    conda-forge
unicodedata2              14.0.0           py38h497a2fe_0    conda-forge
urllib3                   1.26.8             pyhd8ed1ab_1    conda-forge
wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
webencodings              0.5.1                      py_1    conda-forge
websocket-client          1.2.3              pyhd8ed1ab_0    conda-forge
wheel                     0.37.1             pyhd8ed1ab_0    conda-forge
wrapt                     1.13.3           py38h497a2fe_1    conda-forge
xarray                    0.21.1             pyhd8ed1ab_0    conda-forge
xorg-libxau               1.0.9                h7f98852_0    conda-forge
xorg-libxdmcp             1.1.3                h7f98852_0    conda-forge
xz                        5.2.5                h516909a_1    conda-forge
yaml                      0.2.5                h7f98852_2    conda-forge
yarl                      1.7.2            py38h497a2fe_1    conda-forge
zarr                      2.11.0             pyhd8ed1ab_0    conda-forge
zeromq                    4.3.4                h9c3ff4c_1    conda-forge
zict                      2.0.0                      py_0    conda-forge
zipp                      3.7.0              pyhd8ed1ab_1    conda-forge
zlib                      1.2.11            h36c2ea0_1013    conda-forge
zstd                      1.5.2                ha95c52a_0    conda-forge

Some observations:

You seem to be on linux as well (path: /home/shh/...). So why did my env get the abseil-cpp package and your's didn't, with the apparent same mamba command?
If a seek on a file structure fails (the last error detail in your traceback), doesn't that usually means that the file is corrupt? So the question I have then, how can one force a refresh of a cached file that might be corrupt?

Thank you for the investigation.
Yes you are correct that I was not "telling the truth" about my setup - I forgot to add my .condarc file. But as you concluded it did contain pyviz in my channels.
I have removed pyviz and default from my .condarc and have removed and reinstalled miniconda, but I still get an error FileNotFoundError (like I originally did).
➜ conda config --show-sources
==> /home/shh/miniconda3/.condarc <==
channels:
  - conda-forge

==> /home/shh/.condarc <==
changeps1: False
ssl_verify: True
channel_priority: strict
channels:
  - conda-forge

Environment
# packages in environment at /home/shh/miniconda3/envs/tmp:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       1_gnu    conda-forge
abseil-cpp                20210324.2           h9c3ff4c_0    conda-forge
aiobotocore               2.1.0              pyhd8ed1ab_0    conda-forge
aiohttp                   3.8.1            py38h497a2fe_0    conda-forge
aioitertools              0.9.0              pyhd8ed1ab_0    conda-forge
aiosignal                 1.2.0              pyhd8ed1ab_0    conda-forge
anyio                     3.5.0            py38h578d9bd_0    conda-forge
appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
argon2-cffi               21.3.0             pyhd8ed1ab_0    conda-forge
argon2-cffi-bindings      21.2.0           py38h497a2fe_1    conda-forge
arrow-cpp                 7.0.0           py38hdbd6c21_2_cpu    conda-forge
asciitree                 0.3.3                      py_2    conda-forge
asttokens                 2.0.5              pyhd8ed1ab_0    conda-forge
async-timeout             4.0.2              pyhd8ed1ab_0    conda-forge
attrs                     21.4.0             pyhd8ed1ab_0    conda-forge
aws-c-cal                 0.5.11               h95a6274_0    conda-forge
aws-c-common              0.6.2                h7f98852_0    conda-forge
aws-c-event-stream        0.2.7               h3541f99_13    conda-forge
aws-c-io                  0.10.5               hfb6a706_0    conda-forge
aws-checksums             0.1.11               ha31a3da_7    conda-forge
aws-sdk-cpp               1.8.186              hb4091e7_3    conda-forge
babel                     2.9.1              pyh44b312d_0    conda-forge
backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
backports                 1.0                        py_2    conda-forge
backports.functools_lru_cache 1.6.4              pyhd8ed1ab_0    conda-forge
black                     22.1.0             pyhd8ed1ab_0    conda-forge
bleach                    4.1.0              pyhd8ed1ab_0    conda-forge
bokeh                     2.4.2            py38h578d9bd_0    conda-forge
botocore                  1.23.24            pyhd8ed1ab_0    conda-forge
brotli                    1.0.9                h7f98852_6    conda-forge
brotli-bin                1.0.9                h7f98852_6    conda-forge
brotlipy                  0.7.0           py38h497a2fe_1003    conda-forge
bzip2                     1.0.8                h7f98852_4    conda-forge
c-ares                    1.18.1               h7f98852_0    conda-forge
ca-certificates           2021.10.8            ha878542_0    conda-forge
certifi                   2021.10.8        py38h578d9bd_1    conda-forge
cffi                      1.15.0           py38h3931269_0    conda-forge
cftime                    1.5.2            py38h6c62de6_0    conda-forge
charset-normalizer        2.0.12             pyhd8ed1ab_0    conda-forge
click                     8.0.4            py38h578d9bd_0    conda-forge
cloudpickle               2.0.0              pyhd8ed1ab_0    conda-forge
colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
colorcet                  3.0.0              pyhd8ed1ab_0    conda-forge
cramjam                   2.5.0            py38ha8db356_0    conda-forge
cryptography              36.0.1           py38h3e25421_0    conda-forge
curl                      7.81.0               h2574ce0_0    conda-forge
cycler                    0.11.0             pyhd8ed1ab_0    conda-forge
cytoolz                   0.11.2           py38h497a2fe_1    conda-forge
dask                      2022.2.0           pyhd8ed1ab_0    conda-forge
dask-core                 2022.2.0           pyhd8ed1ab_0    conda-forge
dataclasses               0.8                pyhc8e2a94_3    conda-forge
datashader                0.13.0             pyh6c4a22f_0    conda-forge
datashape                 0.5.4                      py_1    conda-forge
debugpy                   1.5.1            py38h709712a_0    conda-forge
decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge
distributed               2022.2.0         py38h578d9bd_0    conda-forge
entrypoints               0.4                pyhd8ed1ab_0    conda-forge
executing                 0.8.2              pyhd8ed1ab_0    conda-forge
fasteners                 0.17.3             pyhd8ed1ab_0    conda-forge
fastparquet               0.8.0            py38h6c62de6_1    conda-forge
flit-core                 3.6.0              pyhd8ed1ab_0    conda-forge
fonttools                 4.29.1           py38h497a2fe_0    conda-forge
freetype                  2.10.4               h0708190_1    conda-forge
frozenlist                1.3.0            py38h497a2fe_0    conda-forge
fsspec                    2022.1.0           pyhd8ed1ab_0    conda-forge
gflags                    2.2.2             he1b5a44_1004    conda-forge
giflib                    5.2.1                h36c2ea0_2    conda-forge
glog                      0.5.0                h48cff8f_0    conda-forge
grpc-cpp                  1.43.2               h9e046d8_1    conda-forge
hdf4                      4.2.15               h10796ff_3    conda-forge
hdf5                      1.12.1          nompi_h2750804_103    conda-forge
heapdict                  1.0.1                      py_0    conda-forge
holoviews                 1.14.8             pyhd8ed1ab_0    conda-forge
hvplot                    0.7.3              pyh6c4a22f_0    conda-forge
idna                      3.3                pyhd8ed1ab_0    conda-forge
importlib-metadata        4.11.1           py38h578d9bd_0    conda-forge
importlib_metadata        4.11.1               hd8ed1ab_0    conda-forge
importlib_resources       5.4.0              pyhd8ed1ab_0    conda-forge
intake                    0.6.5              pyhd8ed1ab_0    conda-forge
intake-parquet            0.2.3                      py_0    conda-forge
intake-xarray             0.6.0              pyhd8ed1ab_0    conda-forge
iprogress                 0.4                        py_0    conda-forge
ipykernel                 6.9.1            py38he5a9106_0    conda-forge
ipython                   8.0.1            py38h578d9bd_2    conda-forge
ipython_genutils          0.2.0                      py_1    conda-forge
jbig                      2.1               h7f98852_2003    conda-forge
jedi                      0.18.1           py38h578d9bd_0    conda-forge
jinja2                    3.0.3              pyhd8ed1ab_0    conda-forge
jmespath                  0.10.0             pyh9f0ad1d_0    conda-forge
jpeg                      9e                   h7f98852_0    conda-forge
json5                     0.9.5              pyh9f0ad1d_0    conda-forge
jsonschema                4.4.0              pyhd8ed1ab_0    conda-forge
jupyter_client            7.1.2              pyhd8ed1ab_0    conda-forge
jupyter_core              4.9.2            py38h578d9bd_0    conda-forge
jupyter_server            1.13.5             pyhd8ed1ab_1    conda-forge
jupyterlab                3.2.9              pyhd8ed1ab_0    conda-forge
jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
jupyterlab_server         2.10.3             pyhd8ed1ab_0    conda-forge
kiwisolver                1.3.2            py38h1fd1430_1    conda-forge
krb5                      1.19.2               hcc1bbae_3    conda-forge
lcms2                     2.12                 hddcbb42_0    conda-forge
ld_impl_linux-64          2.36.1               hea4e1c9_2    conda-forge
lerc                      3.0                  h9c3ff4c_0    conda-forge
libblas                   3.9.0           13_linux64_openblas    conda-forge
libbrotlicommon           1.0.9                h7f98852_6    conda-forge
libbrotlidec              1.0.9                h7f98852_6    conda-forge
libbrotlienc              1.0.9                h7f98852_6    conda-forge
libcblas                  3.9.0           13_linux64_openblas    conda-forge
libcrc32c                 1.1.2                h9c3ff4c_0    conda-forge
libcurl                   7.81.0               h2574ce0_0    conda-forge
libdeflate                1.10                 h7f98852_0    conda-forge
libedit                   3.1.20191231         he28a2e2_2    conda-forge
libev                     4.33                 h516909a_1    conda-forge
libevent                  2.1.10               h9b69904_4    conda-forge
libffi                    3.4.2                h7f98852_5    conda-forge
libgcc-ng                 11.2.0              h1d223b6_12    conda-forge
libgfortran-ng            11.2.0              h69a702a_12    conda-forge
libgfortran5              11.2.0              h5c6108e_12    conda-forge
libgomp                   11.2.0              h1d223b6_12    conda-forge
libgoogle-cloud           1.35.0               h6945097_2    conda-forge
liblapack                 3.9.0           13_linux64_openblas    conda-forge
libllvm10                 10.0.1               he513fc3_3    conda-forge
libnetcdf                 4.8.1           nompi_hb3fd0d9_101    conda-forge
libnghttp2                1.46.0               h812cca2_0    conda-forge
libnsl                    2.0.0                h7f98852_0    conda-forge
libopenblas               0.3.18          pthreads_h8fe5266_0    conda-forge
libpng                    1.6.37               h21135ba_2    conda-forge
libprotobuf               3.19.4               h780b84a_0    conda-forge
libsodium                 1.0.18               h36c2ea0_1    conda-forge
libssh2                   1.10.0               ha56f1ee_2    conda-forge
libstdcxx-ng              11.2.0              he4da1e4_12    conda-forge
libthrift                 0.15.0               he6d91bd_1    conda-forge
libtiff                   4.3.0                h542a066_3    conda-forge
libutf8proc               2.7.0                h7f98852_0    conda-forge
libwebp                   1.2.2                h3452ae3_0    conda-forge
libwebp-base              1.2.2                h7f98852_1    conda-forge
libxcb                    1.13              h7f98852_1004    conda-forge
libzip                    1.8.0                h4de3113_1    conda-forge
libzlib                   1.2.11            h36c2ea0_1013    conda-forge
llvmlite                  0.36.0           py38h4630a5e_0    conda-forge
locket                    0.2.0                      py_2    conda-forge
lz4-c                     1.9.3                h9c3ff4c_1    conda-forge
markdown                  3.3.6              pyhd8ed1ab_0    conda-forge
markupsafe                2.1.0            py38h0a891b7_0    conda-forge
matplotlib-base           3.5.1            py38hf4fb855_0    conda-forge
matplotlib-inline         0.1.3              pyhd8ed1ab_0    conda-forge
mistune                   0.8.4           py38h497a2fe_1005    conda-forge
msgpack-python            1.0.3            py38h1fd1430_0    conda-forge
multidict                 6.0.2            py38h497a2fe_0    conda-forge
multipledispatch          0.6.0                      py_0    conda-forge
munkres                   1.1.4              pyh9f0ad1d_0    conda-forge
mypy_extensions           0.4.3            py38h578d9bd_4    conda-forge
nbclassic                 0.3.5              pyhd8ed1ab_0    conda-forge
nbclient                  0.5.11             pyhd8ed1ab_0    conda-forge
nbconvert                 6.4.2            py38h578d9bd_0    conda-forge
nbformat                  5.1.3              pyhd8ed1ab_0    conda-forge
ncurses                   6.3                  h9c3ff4c_0    conda-forge
nest-asyncio              1.5.4              pyhd8ed1ab_0    conda-forge
netcdf4                   1.5.8           nompi_py38h2823cc8_101    conda-forge
notebook                  6.4.8              pyha770c72_0    conda-forge
numba                     0.53.1           py38h8b71fd7_1    conda-forge
numcodecs                 0.9.1            py38h709712a_2    conda-forge
numpy                     1.22.2           py38h6ae9a64_0    conda-forge
openjpeg                  2.4.0                hb52868f_1    conda-forge
openssl                   1.1.1l               h7f98852_0    conda-forge
orc                       1.7.3                h1be678f_0    conda-forge
packaging                 21.3               pyhd8ed1ab_0    conda-forge
pandas                    1.4.1            py38h43a58ef_0    conda-forge
pandoc                    2.17.1.1             ha770c72_0    conda-forge
pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
panel                     0.12.6             pyhd8ed1ab_0    conda-forge
param                     1.12.0             pyh6c4a22f_0    conda-forge
parquet-cpp               1.5.1                         2    conda-forge
parso                     0.8.3              pyhd8ed1ab_0    conda-forge
partd                     1.2.0              pyhd8ed1ab_0    conda-forge
pathspec                  0.9.0              pyhd8ed1ab_0    conda-forge
pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
pickleshare               0.7.5                   py_1003    conda-forge
pillow                    9.0.1            py38h0ee0e06_2    conda-forge
pip                       22.0.3             pyhd8ed1ab_0    conda-forge
platformdirs              2.5.1              pyhd8ed1ab_0    conda-forge
prometheus_client         0.13.1             pyhd8ed1ab_0    conda-forge
prompt-toolkit            3.0.27             pyha770c72_0    conda-forge
psutil                    5.9.0            py38h497a2fe_0    conda-forge
pthread-stubs             0.4               h36c2ea0_1001    conda-forge
ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
pure_eval                 0.2.2              pyhd8ed1ab_0    conda-forge
pyarrow                   7.0.0           py38he7e5f7d_2_cpu    conda-forge
pycparser                 2.21               pyhd8ed1ab_0    conda-forge
pyct                      0.4.6                      py_0    conda-forge
pyct-core                 0.4.6                      py_0    conda-forge
pygments                  2.11.2             pyhd8ed1ab_0    conda-forge
pyopenssl                 22.0.0             pyhd8ed1ab_0    conda-forge
pyparsing                 3.0.7              pyhd8ed1ab_0    conda-forge
pyrsistent                0.18.1           py38h497a2fe_0    conda-forge
pysocks                   1.7.1            py38h578d9bd_4    conda-forge
python                    3.8.12          ha38a3c6_3_cpython    conda-forge
python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge
python_abi                3.8                      2_cp38    conda-forge
pytz                      2021.3             pyhd8ed1ab_0    conda-forge
pyviz_comms               2.1.0              pyhd8ed1ab_0    conda-forge
pyyaml                    6.0              py38h497a2fe_3    conda-forge
pyzmq                     22.3.0           py38h2035c66_1    conda-forge
re2                       2022.02.01           h9c3ff4c_0    conda-forge
readline                  8.1                  h46c0cb4_0    conda-forge
requests                  2.27.1             pyhd8ed1ab_0    conda-forge
s2n                       1.0.10               h9b69904_0    conda-forge
s3fs                      2022.1.0           pyhd8ed1ab_0    conda-forge
scipy                     1.8.0            py38h56a6a73_1    conda-forge
send2trash                1.8.0              pyhd8ed1ab_0    conda-forge
setuptools                59.8.0           py38h578d9bd_0    conda-forge
six                       1.16.0             pyh6c4a22f_0    conda-forge
snappy                    1.1.8                he1b5a44_3    conda-forge
sniffio                   1.2.0            py38h578d9bd_2    conda-forge
sortedcontainers          2.4.0              pyhd8ed1ab_0    conda-forge
sqlite                    3.37.0               h9cd32fc_0    conda-forge
stack_data                0.2.0              pyhd8ed1ab_0    conda-forge
tblib                     1.7.0              pyhd8ed1ab_0    conda-forge
terminado                 0.13.1           py38h578d9bd_0    conda-forge
testpath                  0.5.0              pyhd8ed1ab_0    conda-forge
tk                        8.6.12               h27826a3_0    conda-forge
tomli                     2.0.1              pyhd8ed1ab_0    conda-forge
toolz                     0.11.2             pyhd8ed1ab_0    conda-forge
tornado                   6.1              py38h497a2fe_2    conda-forge
tqdm                      4.62.3             pyhd8ed1ab_0    conda-forge
traitlets                 5.1.1              pyhd8ed1ab_0    conda-forge
typed-ast                 1.5.2            py38h497a2fe_0    conda-forge
typing-extensions         4.1.1                hd8ed1ab_0    conda-forge
typing_extensions         4.1.1              pyha770c72_0    conda-forge
unicodedata2              14.0.0           py38h497a2fe_0    conda-forge
urllib3                   1.26.8             pyhd8ed1ab_1    conda-forge
wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
webencodings              0.5.1                      py_1    conda-forge
websocket-client          1.2.3              pyhd8ed1ab_0    conda-forge
wheel                     0.37.1             pyhd8ed1ab_0    conda-forge
wrapt                     1.13.3           py38h497a2fe_1    conda-forge
xarray                    0.21.1             pyhd8ed1ab_0    conda-forge
xorg-libxau               1.0.9                h7f98852_0    conda-forge
xorg-libxdmcp             1.1.3                h7f98852_0    conda-forge
xz                        5.2.5                h516909a_1    conda-forge
yaml                      0.2.5                h7f98852_2    conda-forge
yarl                      1.7.2            py38h497a2fe_1    conda-forge
zarr                      2.11.0             pyhd8ed1ab_0    conda-forge
zeromq                    4.3.4                h9c3ff4c_1    conda-forge
zict                      2.0.0                      py_0    conda-forge
zipp                      3.7.0              pyhd8ed1ab_1    conda-forge
zlib                      1.2.11            h36c2ea0_1013    conda-forge
zstd                      1.5.2                ha95c52a_0    conda-forge

Error log
---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
Input In [3], in <module>
----> 1 flights = airline_flights.to_dask().persist()
      2 print(type(flights))
      3 flights.head()

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/intake_parquet/source.py:99, in ParquetSource.to_dask(self)
     98 def to_dask(self):
---> 99     self._load_metadata()
    100     return self._df

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/intake/source/base.py:236, in DataSourceBase._load_metadata(self)
    234 """load metadata only if needed"""
    235 if self._schema is None:
--> 236     self._schema = self._get_schema()
    237     self.dtype = self._schema.dtype
    238     self.shape = self._schema.shape

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/intake_parquet/source.py:60, in ParquetSource._get_schema(self)
     58 def _get_schema(self):
     59     if self._df is None:
---> 60         self._df = self._to_dask()
     61     dtypes = {k: str(v) for k, v in self._df._meta.dtypes.items()}
     62     self._schema = base.Schema(datashape=None,
     63                                dtype=dtypes,
     64                                shape=(None, len(self._df.columns)),
     65                                npartitions=self._df.npartitions,
     66                                extra_metadata={})

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/intake_parquet/source.py:108, in ParquetSource._to_dask(self)
    106 import dask.dataframe as dd
    107 urlpath = self._get_cache(self._urlpath)[0]
--> 108 self._df = dd.read_parquet(urlpath,
    109                            storage_options=self._storage_options, **self._kwargs)
    110 self._load_metadata()
    111 return self._df

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/dask/dataframe/io/parquet/core.py:400, in read_parquet(path, columns, filters, categories, index, storage_options, engine, gather_statistics, ignore_metadata_file, metadata_task_size, split_row_groups, chunksize, aggregate_files, **kwargs)
    397         raise ValueError("read_parquet options require gather_statistics=True")
    398     gather_statistics = True
--> 400 read_metadata_result = engine.read_metadata(
    401     fs,
    402     paths,
    403     categories=categories,
    404     index=index,
    405     gather_statistics=gather_statistics,
    406     filters=filters,
    407     split_row_groups=split_row_groups,
    408     chunksize=chunksize,
    409     aggregate_files=aggregate_files,
    410     ignore_metadata_file=ignore_metadata_file,
    411     metadata_task_size=metadata_task_size,
    412     **kwargs,
    413 )
    415 # In the future, we may want to give the engine the
    416 # option to return a dedicated element for `common_kwargs`.
    417 # However, to avoid breaking the API, we just embed this
    418 # data in the first element of `parts` for now.
    419 # The logic below is inteded to handle backward and forward
    420 # compatibility with a user-defined engine.
    421 meta, statistics, parts, index = read_metadata_result[:4]

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/dask/dataframe/io/parquet/fastparquet.py:862, in FastParquetEngine.read_metadata(cls, fs, paths, categories, index, gather_statistics, filters, split_row_groups, chunksize, aggregate_files, ignore_metadata_file, metadata_task_size, **kwargs)
    844 @classmethod
    845 def read_metadata(
    846     cls,
   (...)
    860
    861     # Stage 1: Collect general dataset information
--> 862     dataset_info = cls._collect_dataset_info(
    863         paths,
    864         fs,
    865         categories,
    866         index,
    867         gather_statistics,
    868         filters,
    869         split_row_groups,
    870         chunksize,
    871         aggregate_files,
    872         ignore_metadata_file,
    873         metadata_task_size,
    874         kwargs,
    875     )
    877     # Stage 2: Generate output `meta`
    878     meta = cls._create_dd_meta(dataset_info)

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/dask/dataframe/io/parquet/fastparquet.py:473, in FastParquetEngine._collect_dataset_info(cls, paths, fs, categories, index, gather_statistics, filters, split_row_groups, chunksize, aggregate_files, ignore_metadata_file, metadata_task_size, kwargs)
    469 else:
    470     # Rely on metadata for 0th file.
    471     # Will need to pass a list of paths to read_partition
    472     scheme = get_file_scheme(fns)
--> 473     pf = ParquetFile(
    474         paths[:1], open_with=fs.open, root=base, **dataset_kwargs
    475     )
    476     pf.file_scheme = scheme
    477     pf.cats = paths_to_cats(fns, scheme)

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/api.py:113, in ParquetFile.__init__(self, fn, verify, open_with, root, sep, fs, pandas_nulls)
    111     fs = getattr(open_with, "__self__", None)
    112 if isinstance(fn, (tuple, list)):
--> 113     basepath, fmd = metadata_from_many(fn, verify_schema=verify,
    114                                        open_with=open_with, root=root,
    115                                        fs=fs)
    116     self.fn = join_path(basepath, '_metadata') if basepath \
    117               else '_metadata'
    118     self.fmd = fmd

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/util.py:179, in metadata_from_many(file_list, verify_schema, open_with, root, fs)
    176 elif all(not isinstance(pf, api.ParquetFile) for pf in file_list):
    178     if verify_schema or fs is None or len(file_list) < 3:
--> 179         pfs = [api.ParquetFile(fn, open_with=open_with) for fn in file_list]
    180     else:
    181         # activate new code path here
    182         f0 = file_list[0]

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/util.py:179, in <listcomp>(.0)
    176 elif all(not isinstance(pf, api.ParquetFile) for pf in file_list):
    178     if verify_schema or fs is None or len(file_list) < 3:
--> 179         pfs = [api.ParquetFile(fn, open_with=open_with) for fn in file_list]
    180     else:
    181         # activate new code path here
    182         f0 = file_list[0]

File ~/miniconda3/envs/tmp/lib/python3.8/site-packages/fastparquet/api.py:165, in ParquetFile.__init__(self, fn, verify, open_with, root, sep, fs, pandas_nulls)
    163         self.fs = fs
    164     else:
--> 165         raise FileNotFoundError
    166 self.open = open_with
    167 self._statistics = None

FileNotFoundError:

Could see airline_flights.cache_dirs outputs /home/shh/.intake/cache for me. When I deleted the folder it gave an error message ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html and after installing ipywidgets and removing the .intake folder again I could get this example to work.
@michaelaye can you try to rename your .intake cache folder and see if you also can get FileNotFoundError?

yes, I do. But I think by only renaming the cache folder you corrupt the intake data management system, because the persisted folder is still there, with partial records that need to access the cache folder whenever required. So when you only rename the cache folder, you have created an impossible state for intake. If you had renamed the whole .intake folder, things would have worked, I just confirmed that.

I agree. I was not  very clear in my last post. If you have time can you try the following steps:

Try to rename/delete the .intake folder and uninstall ipywidgets and IProgress for the tmp environment.
Run the notebook. For me this create the .intake folder but will ImportError and not download the data.
Install ipywidgets.
Run the notebook again. This time I get a FileNotFoundError, because the data was not downloaded but all the folder was created.

To get this to work I have to delete the .intake folder and run the folder the notebook again.

Above mamba command doesn't install ipywidgets, so I will only deal with iprogress.
I confirm your given scenario to  fail in the notebook (it doesn't fail in ipython console as it doesn't use progress bars from the library you uninstalled).
Question: Why would you uninstall iprogress, a notebook-supporting progress library when you want to work in the notebook?
What you have identified though are two bugs that are worth reporting:

The conda tqdm package should set a dependency on iprogress as it obviously crashes when it's silently removed. That silent removal is only possible because mamba/conda can uninstall it without uninstalling tqdm (the progress bar package)
the intake system does not clean up the file handles after the download process was interrupted by the missing iprogress package. Definitely worth reporting to prevent others from running into this edge case (although only caused by uninstalling iprogress. Again, why would you do that?)

This is as much time I can invest into this. Please create 2 issues at the respective github repositories.

I uninstalled iprogress because it was explicitly installed when creating the environment. iprogress is no longer supported and from what I can see it has been replaced by something similar in ipywidgets. I can only get the download to work with ipywidgets and not with iprogress. I don't understand why yours work with iprogress and mine doesn't.
I will file some bug reports later, so hopefully, new users (and me...) will be able to run the example without all these problems.
Thank you for helping me with finding the root of the problem, I really appreciate it!

Ah, i even didn't see that deliberate IProgress install in the mamba command.
I

redid the test without it, then

tqdm again fails (which is a bug, because if it needs something like that to run, it should add it to the conda-forge package dependency),

then installed ipywidgets only this time, and that seems to cover whatever tqdm needs to properly run.

Yes, had to remove ~/.intake again, due to 2nd bug with intake's file management.

Just to clarify, it sounds like there are some downstream issues to report, but it's ok that this issue was auto-closed when I merged #693? If so, fine, but if there are remaining issues above with hvplot for us to address, please reopen this issue and summarize what we need to do in hvplot. Thanks!

For references the problem with intake should be solved with https://github.com/intake/intake/pull/655

My input regarding package dependencies. I think we should minimize this. Many users who could benefit from hvPlot etc. would not know about intake, parquet, sf3s etc. they so suddenly have to relate to 4 new packages instead of one.
make the introduction and first half of the tutorial simple and something familiar to most users.

authors: Episkiliski Hoxbro MarcSkovMadsen jbednar michaelaye

repo: holoviz/hvplot


text:
Cannot install for development - dependencies cannot be resolved

I'm trying to install for development as described here https://hvplot.holoviz.org/developer_guide/index.html#conda-environments. But it fails.
$ doit develop_install -c pyviz/label/dev -o all
.  develop_install
Install build dependencies with: conda install -y -c pyviz/label/dev "param >=1.7.0" "pyct >=0.4.4" "setuptools
>=30.3.0"
Install build dependencies with: conda install -y -c pyviz/label/dev "param >=1.7.0" "pyct >=0.4.4" "setuptools
>=30.3.0"
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... done

## Package Plan ##

  environment location: C:\Users\masma\Anaconda3\envs\hvplot_dev

  added / updated specs:
    - param[version='>=1.7.0']
    - pyct[version='>=0.4.4']
    - setuptools[version='>=30.3.0']

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    param-1.12.2               |             py_0          95 KB  pyviz/label/dev
    pyct-0.4.8                 |             py_0           3 KB  pyviz/label/dev
    pyct-core-0.4.8            |             py_0          15 KB  pyviz/label/dev
    ------------------------------------------------------------
                                           Total:         113 KB

The following NEW packages will be INSTALLED:

  param              pyviz/label/dev/noarch::param-1.12.2-py_0
  pyct               pyviz/label/dev/noarch::pyct-0.4.8-py_0
  pyct-core          pyviz/label/dev/noarch::pyct-core-0.4.8-py_0

Downloading and Extracting Packages
param-1.12.2         | 95 KB     | ########## | 100%
pyct-0.4.8           | 3 KB      | ########## | 100%
pyct-core-0.4.8      | 15 KB     | ########## | 100%
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done

==> WARNING: A newer version of conda exists. <==
  current version: 4.10.3
  latest version: 4.13.0

Please update conda by running

    $ conda update -n base -c defaults conda

Install runtime dependencies with: conda install -y  -c pyviz/label/dev "bokeh >=1.0.0" "colorcet >=2" "holoviews >=1.11.0" "pandas" "numpy >=1.15" "packaging" "cartopy" "codecov" "dask >=2021.3.0" "datashader >=0.6.5" "fiona" "flake8" "geopandas" "geoviews >=1.6.0" "intake >=0.6.5" "intake-parquet >=0.2.3" "intake-xarray >=0.5.0" "matplotlib" "nbsite >=0.7.1" "nbsmoke >=0.2.0" "networkx >=2.6.3" "notebook >=5.4" "numba >=0.51.0" "numpy >=1.7"
"param >=1.6.1" "parameterized" "pillow >=8.2.0" "plotly" "pooch" "pooch >=1.6.0" "pyct >=0.4.4" "pydata-sphinx-theme <0.9.0" "pyepsg" "pygraphviz" "pyproj" "pytest" "pytest-cov" "python-snappy >=0.6.0" "rasterio" "s3fs >=2022.1.0" "scikit-image >=0.17.2" "scipy" "scipy >=1.5.3" "selenium >=3.141.0" "setuptools" "spatialpandas >=0.4.3" "sphinx-copybutton" "streamz >=0.3.0" "xarray" "xarray >=0.18.2"
Install runtime dependencies with: conda install -y  -c pyviz/label/dev "bokeh >=1.0.0" "colorcet >=2" "holoviews >=1.11.0" "pandas" "numpy >=1.15" "packaging" "cartopy" "codecov" "dask >=2021.3.0" "datashader >=0.6.5" "fiona" "flake8" "geopandas" "geoviews >=1.6.0" "intake >=0.6.5" "intake-parquet >=0.2.3" "intake-xarray >=0.5.0" "matplotlib" "nbsite >=0.7.1" "nbsmoke >=0.2.0" "networkx >=2.6.3" "notebook >=5.4" "numba >=0.51.0" "numpy >=1.7"
"param >=1.6.1" "parameterized" "pillow >=8.2.0" "plotly" "pooch" "pooch >=1.6.0" "pyct >=0.4.4" "pydata-sphinx-theme <0.9.0" "pyepsg" "pygraphviz" "pyproj" "pytest" "pytest-cov" "python-snappy >=0.6.0" "rasterio" "s3fs >=2022.1.0" "scikit-image >=0.17.2" "scipy" "scipy >=1.5.3" "selenium >=3.141.0" "setuptools" "spatialpandas >=0.4.3" "sphinx-copybutton" "streamz >=0.3.0" "xarray" "xarray >=0.18.2"
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.

PackagesNotFoundError: The following packages are not available from current channels:

  - sphinx-copybutton
  - pooch[version='>=1.6.0']
  - pydata-sphinx-theme[version='<0.9.0']

Current channels:

  - https://conda.anaconda.org/pyviz/label/dev/win-64
  - https://conda.anaconda.org/pyviz/label/dev/noarch
  - https://repo.anaconda.com/pkgs/main/win-64
  - https://repo.anaconda.com/pkgs/main/noarch
  - https://repo.anaconda.com/pkgs/r/win-64
  - https://repo.anaconda.com/pkgs/r/noarch
  - https://repo.anaconda.com/pkgs/msys2/win-64
  - https://repo.anaconda.com/pkgs/msys2/noarch

To search for alternate channels that may provide the conda package you're
looking for, navigate to

    https://anaconda.org

and use the search bar at the top of the page.

TaskFailed - taskid:develop_install
Command failed: 'conda install -y  -c pyviz/label/dev "bokeh >=1.0.0" "colorcet >=2" "holoviews >=1.11.0" "pandas" "numpy >=1.15" "packaging" "cartopy" "codecov" "dask >=2021.3.0" "datashader >=0.6.5" "fiona" "flake8" "geopandas" "geoviews >=1.6.0" "intake >=0.6.5" "intake-parquet >=0.2.3" "intake-xarray >=0.5.0" "matplotlib" "nbsite
>=0.7.1" "nbsmoke >=0.2.0" "networkx >=2.6.3" "notebook >=5.4" "numba >=0.51.0" "numpy >=1.7" "param >=1.6.1" "parameterized" "pillow >=8.2.0" "plotly" "pooch" "pooch >=1.6.0" "pyct >=0.4.4" "pydata-sphinx-theme <0.9.0" "pyepsg" "pygraphviz" "pyproj" "pytest" "pytest-cov" "python-snappy >=0.6.0" "rasterio" "s3fs >=2022.1.0" "scikit-image >=0.17.2" "scipy" "scipy >=1.5.3" "selenium >=3.141.0" "setuptools" "spatialpandas >=0.4.3" "sphinx-copybutton" "streamz >=0.3.0" "xarray" "xarray >=0.18.2"' returned 1

I've tried with python=3.6 and python=3.9. Both failed.
I've now updated conda as suggested. It still fails.
I'm on Windows.

I've tried adding conda-forge to the mix.
$ doit develop_install -c pyviz/label/dev -c conda-forge -o all

But the dependency solver cannot resolve it. Its just bee standing there for an hour now.

Thanks for raising that @MarcSkovMadsen, the install docs must be updated. Installing all the dependencies required to run the unit tests and the example notebooks prove to be quite challenging, it requires a lot of packages that have binary dependencies. The CI works fine though so it's definitely possible! Let me try to find out how to reproduce that locally.

Thx.
For now I've just run pip install -e .. It seems to work ok for updating the docs. But I will probably not be able to run tests etc.

I have updated the developer instruction in https://github.com/holoviz/hvplot/pull/794
The site has not yet been updated so for now you'll have to read the rendered RST page on GitHub, which is actually pretty well rendered:
https://github.com/holoviz/hvplot/blob/master/doc/developer_guide/index.rst
If you get the chance to try again installing hvPlot in dev mode, let me know if these instructions work correctly.

I think setting strict channel priority might be cleaner than adding nodefaults and removing defaults separately. Haven't tested it though.

source: gharchive/issue

authors: MarcSkovMadsen maximlt philippjfr

license_type: permissive

license_source: github-api


text:
Enable me to easily sort the x values when using the explorer

Request
Enable me to easily sort the x or y values (ascending or descending) when using the explorer. I would prefer its done by x-ascending by default.
Motivation
You quickly run into plots that are not meaningful, but could be meaningful if sorting was available.

To be sure I understand correctly, you'd like the explorer to have a pre-processing step that allows you to sort the data you want to display?

Yes

authors: MarcSkovMadsen maximlt


text:
gjhg

kjgj

done

source: gharchive/pull-request

license: MIT


text:
Command in double

Hello
The Matter Plug in find my Philips Hue Bridge (they have the Matter Beta)
For all Lights the command are in double usable but they have for (see the picture)
And juste for the esthetique, they have no icon

Matter bridge device support is not yet ready. Please use an already supported device type to try out Matter.
I expect/hope to work out the latest issues with bridges for next HA release.

authors: Cyril-E marcelveldt


text:
Access denied for all addons using ingress

I don't know if this is the correct place to ask this, but I have a system install with hassio-installer, and have some addons with homeassistant. With the supervisor, all ingress addons fails to open web ui with access denied messages.
For example influxdb log:
2020/02/22 00:38:01 [error] 661#661: *8 access forbidden by rule, client: 172.30.32.1, server: a0d7b954-influxdb, request: "GET / HTTP/1.1", host: "myhost.local", referrer: "https://myhost.local/hassio/ingress/a0d7b954_influxdb"
[22/Feb/2020:00:38:01 +0100] 403 192.168.1.142, 172.30.32.1(172.30.32.1) GET / HTTP/1.1 (Mozilla/5.0 (X11; Linux x86_64; rv:74.0) Gecko/20100101 Firefox/74.0)

Seeing these addons all have the following line in their nginx.conf:
 allow 172.30.32.2;
This is the ip for the supervisor. But the addons seems to be accessed from the host machine instead , with ip 172.30.32.1. This seems to be causing the access denied.
I am accessing the homeassistant via a reverse proxy to 172.30.32.1:8123
How is this supposed to work? Is this a configuration issue on my end?

Is this a configuration issue on my end?

Yes, it is. Use the reverse proxy from the community addon or core. If you want to use our own solution, it needs a high knowledge about the system to make ingress working.

Thanks for the reply, which addon exactly are you referring to? Is it the Nginx Home Assistant SSL Proxy or Nginx Proxy Manager?

authors: barisdemirdelen pvizeli

repo: home-assistant/hassio-installer


text:
delete configuartion.yaml and restart HA fails

delete configuartion.yaml and restart:
restart fails
starting version 3.2.4 Config does not exist: /config/configuration.yaml
17:11 components/hassio/__init__.py (ERROR)

workaround: restart host

/mv home-assistant/home-assistant

/move home-assistant/home-assistant

repo: home-assistant/hassio