Overlapping yticklabels: Is it possible to control cell size of heatmap in seaborn?

by

The only way to make more room for the labels is to increase the height of the matrix. The only other option would be to decrease the font size, but I guess that’s not what you want.
So you can compute the ideal figure height based on the number of rows in the matrix and the font size of the labels. When you save the resulting plot you get the expected result. It seems that the height of the GUI window which you see when calling plt.show() is limited to the screen height:

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# create some random data
data = np.random.rand(150, 10)

# get the tick label font size
fontsize_pt = plt.rcParams['ytick.labelsize']
dpi = 72.27

# comput the matrix height in points and inches
matrix_height_pt = fontsize_pt * data.shape[0]
matrix_height_in = matrix_height_pt / dpi

# compute the required figure height 
top_margin = 0.04  # in percentage of the figure height
bottom_margin = 0.04 # in percentage of the figure height
figure_height = matrix_height_in / (1 - top_margin - bottom_margin)


# build the figure instance with the desired height
fig, ax = plt.subplots(
        figsize=(6,figure_height), 
        gridspec_kw=dict(top=1-top_margin, bottom=bottom_margin))

# let seaborn do it's thing
ax = sns.heatmap(data, ax=ax)

# save the figure
plt.savefig('/tmp/test.png')

Result:

enter image description here

More Related Contents:

  1. Plotting a 2D heatmap
  2. How to express classes on the axis of a heatmap in Seaborn
  3. Python package to plot two heatmaps in one (split each square into two triangles)
  4. First and last row cut in half of heatmap plot
  5. How to add hovering annotations in matplotlib
  6. How to have clusters of stacked bars with python (Pandas)
  7. Color by Column Values in Matplotlib
  8. How to manually create a legend
  9. Plotting grouped data in same plot using Pandas
  10. How to add hovering annotations to a plot
  11. How to draw vertical lines on a given plot
  12. Plot a histogram such that bar heights sum to 1 (probability)
  13. Show decimal places and scientific notation on the axis of a matplotlib plot
  14. How to increase/reduce the fontsize of x and y tick labels
  15. How to remove or hide x-axis labels from a seaborn / matplotlib plot
  16. Plotting time-series data with seaborn
  17. Scatterplot with different size, marker, and color from pandas dataframe
  18. How to do waffle charts in python? (square piechart)
  19. Add Legend to Seaborn point plot
  20. How to create a grouped bar plot
  21. How to force the Y axis to only use integers
  22. Get data points from Seaborn distplot
  23. How to scale Seaborn’s y-axis with a bar plot
  24. How to decrease the density of x-ticks in seaborn
  25. Using pandas crosstab to create a bar plot
  26. seaborn heatmap using pandas dataframe
  27. Seaborn factor plot custom error bars instead of bootstrapping
  28. Sorted bar charts with pandas/matplotlib or seaborn
  29. Subplot for seaborn boxplot
  30. How to understand Seaborn’s heatmap annotation format

Leave a Comment