I am getting an warning from matplotlib
every time I import pandas
:
/usr/local/lib/python2.7/site-packages/matplotlib/__init__.py:8
If you are using the logging module, try this: logging.getLogger('matplotlib').setLevel(level=logging.CRITICAL)
You can suppress all warnings:
import warnings
warnings.filterwarnings("ignore")
import pandas
You can either suppress the warning messages as suggested by AndreL or you can resolve this specific issue and stop getting the warning message once and for all. If you want the latter, do the following.
Open your matplotlibrc
file and search for axes.color_cycle
. If you're getting the warning message it means that your matplotlibrc
file should show something like this:
axes.color_cycle : b, g, r, c, m, y, k # color cycle for plot lines
You should replace that line by this:
axes.prop_cycle : cycler('color', ['b', 'g', 'r', 'c', 'm', 'y', 'k'])
And the warning message should be gone.
Downgrade to matplotlib 1.4.3 the previous stable version.
You can suppress the warning UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
by using prop_cycle at the appropriate place.
For example, in the place you had used color_cycle
:
matplotlib.rcParams['axes.color_cycle'] = ['r', 'k', 'c']
Replace it with the following:
matplotlib.rcParams['axes.prop_cycle'] = mpl.cycler(color=["r", "k", "c"])
For a greater glimpse, here is an example:
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
mpl.rcParams['axes.prop_cycle'] = mpl.cycler(color=["r", "k", "c"])
x = np.linspace(0, 20, 100)
fig, axes = plt.subplots(nrows=2)
for i in range(10):
axes[0].plot(x, i * (x - 10)**2)
for i in range(10):
axes[1].plot(x, i * np.cos(x))
plt.show()