87 Categorical Plots

https://vlrtraining.com/courses/python-data-science-beginner-tutorial

Categorical Data Plots¶

• factorplot
• boxplot
• violinplot
• stripplot
• swarmplot
• barplot
• countplot

In [6]:

import seaborn as sns
%matplotlib inline
tips = sns.load_dataset('tips')
tips.head(1)

Out[6]:

	total_bill	tip	sex	smoker	day	time	size
0	16.99	1.01	Female	No	Sun	Dinner	2

barplot and countplot¶

These very similar plots allow you to get aggregate data off a categorical feature in your data. barplot is a general plot that allows you to aggregate the categorical data based off some function, by default the mean:

In [9]:

sns.barplot(x='sex',y='total_bill',data=tips)

Out[9]:

<matplotlib.axes._subplots.AxesSubplot at 0xb7d0198>

In [11]:

sns.barplot(x='sex',y='size',data=tips)

Out[11]:

<matplotlib.axes._subplots.AxesSubplot at 0xbad8a90>

In [7]:

sns.barplot(x='sex',y='total_bill',data=tips,estimator=np.std)

Out[7]:

<matplotlib.axes._subplots.AxesSubplot at 0xb26dba8>

In [4]:

import numpy as np

In [12]:

sns.barplot(x='sex',y='total_bill',data=tips,estimator=np.std)

Out[12]:

<matplotlib.axes._subplots.AxesSubplot at 0xbae4630>