How to Plot Multiple Charts in Seaborn and Pandas

To plot multiple plots in Seaborn and Python we can loop through different rows or columns in Pandas DataFrame.

Steps to plot 2 variables

Import library - seaborn
Select data to be plot
- select the columns which will be used for the plot
  - select - x values
  - select - y values
Loop over the selected data
Create plot figure and select size
Set title for each plot
Select chart type
- barplot
- boxplot

More information can be found: Example gallery

Data

Sample DataFrame to plot multiple charts in loop:

import numpy as np
import pandas as pd
import string

string.ascii_lowercase

n = 6
m = 10

cols = string.ascii_lowercase[:m]
df = pd.DataFrame(np.random.randint(0, n,size=(n , m)), columns=list(cols))

data:

	a	b	c	d	e	f	g	h	i	j
0	3	0	5	4	1	4	0	2	4	2
1	4	5	0	4	1	3	2	3	2	5
2	4	3	3	1	3	3	1	4	0	1
3	1	3	4	4	5	1	2	4	3	0
4	4	0	5	2	4	1	5	5	1	3

Example

for i, g in df.groupby(df.index // 2):
    print(g.values)
    x = g.values[0]
    y = g.values[1]
    plt.figure(figsize=(12,5))
    plt.title(i)
    sns.barplot(x=x, y=y)

Steps to plot 2 variables

Data

Example

Output