I have a dataframe like this

import seaborn as sns
import pandas as pd
%pylab inline
df = pd.DataFrame({'a' :['one','one','two','two','one','two','one','one','one','two'], 'b': [1,2,1,2,1,2,1,2,1,1], 'c': [1,2,3,4,6,1,2,3,4,6]})

A single boxplot is OK:

sns.boxplot(y="b", x="a", data=df, orient='v')

But I want to build a subplot for all variables. I tried:

names = ['b', 'c']
plt.subplots(1,2)
sub = []
for name in names: ax = sns.boxplot( y=name, x= "a", data=df, orient='v' ) sub.append(ax)

but it outputs:

3 Answers

We create the figure with the subplots:

f, axes = plt.subplots(1, 2)

Where axes is an array with each subplot.

Then we tell each plot in which subplot we want them with the argument ax.

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

And the result is:

If you wish to iterate through multiple different subplots, use plt.subplots:

import matplotlib.pyplot as plt
# Creating subplot axes
fig, axes = plt.subplots(nrows,ncols)
# Iterating through axes and names
for name, ax in zip(names, axes.flatten()): sns.boxplot(y=name, x= "a", data=df, orient='v', ax=ax)

---

Working example:

import numpy as np
# example data
df = pd.DataFrame({'a' :['one','one','two','two','one','two','one','one','one','two'], 'b': np.random.randint(1,8,10), 'c': np.random.randint(1,8,10), 'd': np.random.randint(1,8,10), 'e': np.random.randint(1,8,10)})
names = df.columns.drop('a')
ncols = len(names)
fig, axes = plt.subplots(1,ncols)
for name, ax in zip(names, axes.flatten()): sns.boxplot(y=name, x= "a", data=df, orient='v', ax=ax)
plt.tight_layout()

0

names = ['b', 'c']
fig, axes = plt.subplots(1,2)
for i,t in enumerate(names): sns.boxplot(y=t, x="a", data=df, orient='v', ax=axes[i % 2])

Example:

names = ['b', 'c']
fig, axes = plt.subplots(1,2)
sns.set_style("darkgrid")
flatui = ["#95a5a6", "#34495e"]
for i,t in enumerate(names): sns.boxplot(y=t, x= "a", data=df, orient='v', ax=axes[i % 2], palette=flatui)

2

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