How to avoid the overlapping between "suptitle" and "subplots" when using python matplotlib?

Question

I am trying to plot a matrix to compare some data. But the title of plot is overlapping with the subplots:

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sn
   
def save_graph_cm(CMatrix):
    # CMatrix is a dict with four 3x3 pandas DataFrame
    k = 'Wine'
    id = 0
    cm = 1
    plt.suptitle("#" + str(id) + " Confusion Matrix for " + k + " dataset")
    for c_matrix in CMatrix:
        plt.subplot(2, 2, cm)
        sn.heatmap(CMatrix[c_matrix], annot=True, cmap="YlOrRd")
        plt.title("CV - " + str(cm-1))
        plt.xlabel("Predicted Classes")
        plt.ylabel("Real Classes")
        cm += 1
    plt.tight_layout()
    plt.show

What I am getting now is:

Try w constrained_layout instead of tight_layout. The former takes into account subtitles — Jody Klymak
– Jody Klymak, Commented Jul 13, 2019 at 18:36
it didn't work... what worked was using Figure and subplots_adjust() — Gabriel Michelassi
– Gabriel Michelassi, Commented Jul 16, 2019 at 1:03
constrained_layout definitely works. But you need to make your plot compatible: matplotlib.org/3.1.0/tutorials/intermediate/… — Jody Klymak
– Jody Klymak, Commented Jul 16, 2019 at 1:56
Does this answer your question? Matplotlib tight_layout() doesn't take into account figure suptitle — End genocide - save Gaza
– End genocide - save Gaza, Commented Mar 24, 2021 at 20:56

End genocide - save Gaza · Accepted Answer · 2021-03-24 21:18:45Z

4

As of v3.3, matplotlib's tight_layout now displays suptitle correctly:

import matplotlib.pyplot as plt

fig, axs = plt.subplots(1, 3)
for i, ax in enumerate(axs):
    ax.plot([1, 2, 3])
    ax.set_title(f'Axes {i}')

fig.suptitle('suptitle')
fig.tight_layout()

edited Mar 24, 2021 at 21:18

answered Mar 24, 2021 at 21:02

End genocide - save Gaza

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Comments

Adam · Accepted Answer · 2019-07-13 23:28:41Z

1

I had a similar problem, using GridSpec as in this answer https://stackoverflow.com/a/19627237/8079057 fixed it for me.

answered Jul 13, 2019 at 23:28

Adam

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