Why Are My Seaborn Heatmap's First and Last Rows Truncated?

Heatmap Plot Truncation in First and Last Rows

This inquiry delves into an issue where the first and last rows of heatmap plots generated using seaborn and correlation matrices with matplotlib display truncation. The truncation occurs even in a minimal code example that is widely available online. The query includes a code snippet that showcases the problem.

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

data = pd.read_csv('https://raw.githubusercontent.com/resbaz/r-novice-gapminder-files/master/data/gapminder-FiveYearData.csv')
plt.figure(figsize=(10,5))
sns.heatmap(data.corr())
plt.show()

The resulting image displays correctly positioned y-axis labels, but the rows themselves are incomplete. This issue has persisted despite reverting to an older version of LaTeX.

Solution

Unfortunately, matplotlib version 3.1.1 introduced a flaw that affects seaborn heatmaps and inverted axes with fixed ticks. Several solutions are available:

• Revert to matplotlib version 3.1.0: This version does not exhibit this issue.
• Upgrade to matplotlib version 3.1.2 or later: The issue has been resolved in the latest development versions.
• Manually set heatmap limits: By setting the y-axis limits explicitly, the truncation can be circumvented:

ax.set_ylim(bottom, top) # set the ylim to bottom, top

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