How to plot multiple plots using for loop

Question

a=pd.DataFrame({'length':[20,10,30,40,50],
                'width':[5,10,15,20,25],
                'height':[7,14,21,28,35]})

for i,feature in enumerate(a,1):
    sns.regplot(x = feature,y= 'height',data = a)
    print("{} plotting {} ".format(i,feature))

I want to plot 3 different plots with three different columns i.e 'length','width' and 'height' on x-axis and 'height' on y-axis in each one of them .
This is the code i wrote but it overlays 3 different plots over one another.I intend to plot 3 different plots.

Your question is asking how to write the code. Ask a more generalized question. and put more details such as which programming language, what are you trying to achieve? what is the logic you have used? Ask whether certain logic will work? If you put a code and ask for debugging, you wont find answers :) — Chandrika Joshi
– Chandrika Joshi, Commented Nov 27, 2019 at 8:53

danijoo · Accepted Answer · 2019-11-27 09:14:14Z

5

It depends on what you want to do. It you want several individual plots, you can create a new figure for each dataset:

import matplotlib.pyplot as plt
for i, feature in enumerate(a, 1):
    plt.figure()  # forces a new figure
    sns.regplot(data=a, x=feature, y='height')
    print("{} plotting {} ".format(i,feature))

Alternatively, you can draw them all on the same figure, but in different subplots. I.E next to each other:

import matplotlib.pyplot as plt
# create a figure with 3 subplots
fig, axes = plt.subplots(1, a.shape[1])
for i, (feature, ax) in enumerate(zip(a, axes), 1):
    sns.regplot(data=a, x=feature, y='height', ax=ax)
    print("{} plotting {} ".format(i,feature))

plt.subplots has several options that allow you to align the plots the way you like. check the docs for more on that!

edited Nov 27, 2019 at 9:14

answered Nov 27, 2019 at 9:08

danijoo

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