subplots in seaborn python

1import numpy as np
2import seaborn as sns
3import matplotlib.pyplot as plt
4
5sns.set(style="white", palette="muted", color_codes=True)
6rs = np.random.RandomState(10)
7
8# Set up the matplotlib figure
9f, axes = plt.subplots(2, 2, figsize=(7, 7), sharex=True)
10sns.despine(left=True)
11
12# Generate a random univariate dataset
13d = rs.normal(size=100)
14
15# Plot a simple histogram with binsize determined automatically
16sns.distplot(d, kde=False, color="b", ax=axes[0, 0])
17
18# Plot a kernel density estimate and rug plot
19sns.distplot(d, hist=False, rug=True, color="r", ax=axes[0, 1])
20
21# Plot a filled kernel density estimate
22sns.distplot(d, hist=False, color="g", kde_kws={"shade": True}, ax=axes[1, 0])
23
24# Plot a histogram and kernel density estimate
25sns.distplot(d, color="m", ax=axes[1, 1])
26
27plt.setp(axes, yticks=[])
28plt.tight_layout()
29

1sns.boxplot(  y="b", x= "a", data=df,  orient='v' , ax=axes[0])
2sns.boxplot(  y="c", x= "a", data=df,  orient='v' , ax=axes[1])

1fig, axes = plt.subplots(1, 2, sharex=True, figsize=(10,5))
2fig.suptitle('Bigger 1 row x 2 columns axes with no data')
3axes[0].set_title('Title of the first chart')
4