How to customize python DataFrame scatter plot color?

Question

I plotted a graph (attached) using the python code below. The problem is that the color assigned is very hard for people to tell the difference between each data point. I would like to customize the color scale. Can anyone help with this? Thanks a lot!

import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
x=[1,2,3,4,5,1,2,3,4,5]
y=[5,4,3,2,1,1,2,3,4,5]
z=[0.1,0.2,-0.1,0.3,0.05,0.1,-0.1,-0.5,0.25,-0.05]
df=pd.DataFrame({'x':x,'y':y,'z':z})
df.plot.scatter(x='x',y='y',c='z')

Community · Accepted Answer · 2020-06-20 09:12:55Z

3

Pass a colormap argument to df.plot(), e.g.

df.plot.scatter(x='x',y='y',c='z', colormap='plasma')

From the docs for pandas.DataFrame.plot:

colormap : str or matplotlib colormap object, default None

Colormap to select colors from. If string, load colormap with that name from matplotlib.

You can check out the matplotlib colormaps (as I used above) in the colormaps_reference.

edited Jun 20, 2020 at 9:12

CommunityBot

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answered Feb 14, 2017 at 20:23

miradulo

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