Matplotlib how to change figsize for matshow

Question

How to change figsize for matshow () in jupyter laptop?

For example, this code resize size

%matplotlib inline import matplotlib.pyplot as plt import pandas as pd d = pd.DataFrame({'one' : [1, 2, 3, 4, 5], 'two' : [4, 3, 2, 1, 5]}) plt.figure(figsize=(10,5)) plt.plot(d.one, d.two) 

But the code below does not work

 %matplotlib inline import matplotlib.pyplot as plt import pandas as pd d = pd.DataFrame({'one' : [1, 2, 3, 4, 5], 'two' : [4, 3, 2, 1, 5]}) plt.figure(figsize=(10,5)) plt.matshow(d.corr()) 

Answer 1

By default, plt.matshow() creates its own shape, so in combination with plt.figure() two numbers will be created, and the one that places the matshow graph is not the one that has a set of figists.

There are two options:

• Use the fignum argument

   plt.figure(figsize=(10,5)) plt.matshow(d.corr(), fignum=1) 

• Separate matshow with matplotlib.axes.Axes.matshow instead of pyplot.matshow .

   fig, ax = plt.subplots(figsize=(10,5)) ax.matshow(d.corr()) 

Answer 2

Improving the solution with @ImportanceOfBeingErnest,

 matfig = plt.figure(figsize=(8,8)) plt.matshow(d.corr(), fignum=matfig.number) 

Thus, you do not need to keep track of figure numbers.

Answer 3

The solutions did not help me, but I found another way:

 plt.figure(figsize=(10,5)) plt.matshow(d.corr(), fignum=1, aspect='auto')