User edited file: "examples/marginal_ticks.py":

```diff
@@ -2,7 +2,7 @@
 Scatterplot with marginal ticks
 ===============================
 
-_thumb: .68, .32
+_thumb: .62, .39
 """
 import numpy as np
 import seaborn as sns
@@ -18,4 +18,4 @@
 # Use JointGrid directly to draw a custom plot
 grid = sns.JointGrid(x, y, space=0, height=6, ratio=50)
 grid.plot_joint(plt.scatter, color="g")
-grid.plot_marginals(sns.rugplot, height=1, color="g")
+grid.plot_marginals(sns.rugplot, height=1, color="g")
```

User edited file: "examples/marginal_ticks.py":

```diff
@@ -6,7 +6,6 @@
 """
 import numpy as np
 import seaborn as sns
-import matplotlib.pyplot as plt
 sns.set(style="white", color_codes=True)
 
 # Generate a random bivariate dataset

```

User edited file: "examples/marginal_ticks.py":

```diff
@@ -15,6 +15,6 @@
 x, y = rs.multivariate_normal(mean, cov, 100).T
 
 # Use JointGrid directly to draw a custom plot
-grid = sns.JointGrid(x, y, space=0, height=6, ratio=50)
+grid = sns.JointGrid(x, y, space=0, height=6, ratio=20)
 grid.plot_joint(plt.scatter, color="g")
 grid.plot_marginals(sns.rugplot, height=1, color="g")
```
```examples/marginal_ticks.py
"""
Scatterplot with marginal ticks
===============================

_thumb: .62, .39
"""
import numpy as np
import seaborn as sns
sns.set(style="white", color_codes=True)

# Generate a random bivariate dataset
rs = np.random.RandomState(9)
mean = [0, 0]
cov = [(1, 0), (0, 2)]
x, y = rs.multivariate_normal(mean, cov, 100).T

# Use JointGrid directly to draw a custom plot
grid = sns.JointGrid(x, y, space=0, height=6, ratio=20)
<|user_cursor_is_here|>
grid.plot_joint(plt.scatter, color="g")
grid.plot_marginals(sns.rugplot, height=1, color="g")
```
```examples/marginal_ticks.py
"""
Scatterplot with marginal ticks
===============================

_thumb: .62, .39
"""
import numpy as np
import seaborn as sns
sns.set(style="white", color_codes=True)

# Generate a random bivariate dataset
rs = np.random.RandomState(9)
mean = [0, 0]
cov = [(1, 0), (0, 2)]
x, y = rs.multivariate_normal(mean, cov, 100).T

# Use JointGrid directly to draw a custom plot
grid = sns.JointGrid(x, y, space=0, height=6, ratio=20)
<|tool_call|>
{"name": "refactor.rename", "arguments": {"symbol": "plt.scatter", "newName": "sns.scatterplot"}}
</|tool_call|>
grid.plot_joint(plt.scatter, color="g")
grid.plot_marginals(sns.rugplot, height=1, color="g")
```