Python/matplotlib : getting rid of matplotlib.mpl warning

Question

I am using matplotlib using python 3.4. When I start my program, I have the following warning message:

C:\Python34-32bits\lib\site-packages\matplotlib\cbook.py:123: MatplotlibDeprecationWarning: The matplotlib.mpl module was deprecated in version 1.3. Use import matplotlib as mpl instead. warnings.warn(message, mplDeprecation, stacklevel=1)

As far as I know I do not use mpl, and all my imports concerning matplotlib are:

import matplotlib.pyplot as plt
import matplotlib.animation as animation

Anything I should do ?

What version of matplotlib are you using?

MrAlias
– MrAlias

2014-07-01 04:34:30 +00:00
Commented Jul 1, 2014 at 4:34 — MrAlias
– MrAlias, Commented Jul 1, 2014 at 4:34

CT Zhu · Accepted Answer · 2014-07-01 05:13:51Z

42

You can suppress that particular warning, which is probably the preferred way:

import warnings
import matplotlib.cbook
warnings.filterwarnings("ignore",category=matplotlib.cbook.mplDeprecation)

answered Jul 1, 2014 at 5:13

CT Zhu

54.6k18 gold badges125 silver badges136 bronze badges

Sign up to request clarification or add additional context in comments.

Comments

johntellsall · Accepted Answer · 2014-07-01 05:09:49Z

3

you can temporarily suppress a warning, when importing

import warnings

def fxn():
    warnings.warn("deprecated", DeprecationWarning)

with warnings.catch_warnings():
    warnings.simplefilter("ignore")
    fxn()

answered Jul 1, 2014 at 5:09

johntellsall

15.2k4 gold badges48 silver badges40 bronze badges

Comments

MT_Shikomba · Accepted Answer · 2020-03-30 00:39:59Z

2

I was able to suppress that warning with the code below:

import warnings

warnings.filterwarnings("ignore",category=UserWarning)

answered Mar 30, 2020 at 0:39

MT_Shikomba

1972 silver badges6 bronze badges

Comments

Omar Cusma Fait · Accepted Answer · 2018-06-30 14:30:50Z

0

It would be useful to see the code, however remember to set the parameters of the plot first, only then initialize the plot.

Exemple, what you may have done:

plt.pcolormesh(X, Y, Z)
plt.axes().set_aspect('equal')

What you have to do:

plt.axes().set_aspect('equal')
plt.pcolormesh(X, Y, Z)

answered Jun 30, 2018 at 14:30

Omar Cusma Fait

3522 silver badges11 bronze badges

Comments

simons____ · Accepted Answer · 2022-11-16 15:30:32Z

0

Due to

MatplotlibDeprecationWarning: mplDeprecation was deprecated in Matplotlib 3.6 and will be removed two minor releases later ...

use this instead:

import warnings
import matplotlib
warnings.filterwarnings("ignore", category=matplotlib.MatplotlibDeprecationWarning)

answered Nov 16, 2022 at 15:30

simons____

1311 silver badge4 bronze badges

Collectives™ on Stack Overflow

Python/matplotlib : getting rid of matplotlib.mpl warning

5 Answers 5

Comments

Comments

Comments

Comments

Comments

Your Answer

Linked

Hot Network Questions

Collectives™ on Stack Overflow

5 Answers 5

Comments

Comments

Comments

Comments

Comments

Your Answer

Sign up or log in

Post as a guest

Linked

Related