CODEWITHSUNDEEP
pythonmatplotlibheatmap
Louis Etienne
Louis Etienne

Reputation: 1371

Add a legend to my heatmap plot

I'm trying to translate datas from csv file to a heatmap. For the moment, my heatmap looks like this : enter image description here

But it miss a legend! This is my code :

import matplotlib.pyplot as plt
import numpy as np

column_labels = list(range(0,24))
row_labels = ["Lundi",
              "Mardi",
              "Mercredi",
              "Jeudi",
              "Vendredi",
              "Samedi",
              "Dimanche"]
data = np.array([
                [0,0,0,0,0,0,0,0,0,0,434,560,650,340,980,880,434,434,0,0,0,0,0,0],
                [0,0,0,0,0,0,0,434,560,0,650,0,0,0,0,340,980,0,0,0,880,0,434,343],
                [0,0,0,0,0,0,0,0,0,0,434,560,650,340,980,880,434,434,0,0,0,0,0,0],
                [0,0,0,0,0,0,0,434,560,0,650,0,0,0,0,340,980,0,0,0,880,0,434,343],
                [0,0,0,0,0,0,0,0,0,0,434,560,650,340,980,880,434,434,0,0,0,0,0,0],
                [0,0,0,0,0,0,0,434,560,0,650,0,0,0,0,340,980,0,0,0,880,0,434,343],
                [0,0,0,0,0,0,0,0,0,0,434,560,650,340,980,880,434,434,0,0,0,0,0,0]
                ])
fig, axis = plt.subplots() # il me semble que c'est une bonne habitude de faire supbplots
heatmap = axis.pcolor(data, cmap=plt.cm.Blues) # heatmap contient les valeurs

axis.set_yticks(np.arange(data.shape[0])+0.5, minor=False)
axis.set_xticks(np.arange(data.shape[1])+0.5, minor=False)

axis.invert_yaxis()

axis.set_yticklabels(row_labels, minor=False)
axis.set_xticklabels(column_labels, minor=False)

fig.set_size_inches(11.03, 3.5)

plt.savefig('test.png', dpi=100)

How can I have a legend to this plot ? Like in this one : Heatmap made in javascript

Thanks a lot for your help !

Upvotes: 20

Views: 37073

Answers (1)

Amy Teegarden
Amy Teegarden

Reputation: 3972

It sounds like what you want is a colorbar. Once you plot your heatmap, you can use plt.colorbar(heatmap) to add a colorbar.

Heatmap with colorbar

Upvotes: 33

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