Table with extra column Matplotlib

Question

I am plotting 2 simple tables but an extra column keeps appearing on both. I checked that my data has only 3 columns and so is the colLabel.

from matplotlib import pyplot as plt

header= ['Country','HDI','IPV']

header_colors1 = ['#03a1fc', '#03a1fc', '#03a1fc']

row_colors1 = ['#f1f1f2', 'w'] * 10

header_colors2 = ['#dd8452', '#dd8452', '#dd8452']

row_colors2 = ['w', '#f1f1f2'] * 10

fig, axs = plt.subplots(1, 2, figsize=(8, 4))
fig.patch.set_visible(False)

axs[0].axis('off')
axs[0].axis('tight')

least_dev_values = [str(x) for x in range(10)]
most_dev_values = [str(x) for x in range(10)]
least_dev_tabel= axs[0].table(cellText=least_dev_values, colLabels=header, loc='center',
         cellLoc='center', colLoc='center', rowColours=row_colors1,
         colColours=header_colors1)

axs[1].axis('off')
axs[1].axis('tight')
axs[1].table(cellText=most_dev_values, colLabels=header, loc='center',
         cellLoc='center', colLoc='center', rowColours=row_colors2,
         colColours=header_colors2)

plt.subplots_adjust(wspace=0.8)

plt.show()

Asked By: Thiago Roque

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Source

Answer 1

If you remove the rowColours it works as expected

least_dev_tabel= axs[0].table(cellText=least_dev_values, colLabels=header, loc='center',
         cellLoc='center', colLoc='center', #rowColours=row_colors1,
         colColours=header_colors1)

It looks like you might want to add more columns to the table based on your headers? The docs say that these are the colors of your header rows. If you want to color your cells you can use cellClours instead

https://matplotlib.org/stable/api/table_api.html

Answered By: A Simple Programmer

Table with extra column Matplotlib

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