Bug report
Bug summary
The color bar has multiple labels with the value 0 if matplotlib.colors.SymLogNorm is used leading to a "bold-looking" label.
Code for reproduction
from matplotlib import pyplot as plt
import matplotlib as mpl
fig , axes = plt .subplots (1 , 2 , True , True )
for i , ax in enumerate (axes ):
im = ax .imshow ([[0 ]], norm = mpl .colors .SymLogNorm (1e-5 , vmin = - 1 , vmax = 1 ))
cb = plt .colorbar (im , ax = ax )
# Clean up the labels
zero_labelled = False
for label in cb .ax .yaxis .get_ticklabels ():
if label .get_text () == r'$\mathdefault{0}$' :
if zero_labelled :
label .set_visible (False )
zero_labelled = True
Actual outcome on the left, expected outcome on the right
Matplotlib version
Operating system: Linux 1061836d2c20 4.9.49-moby Fix autofmt_xdate() when using in conjunction with twinx() #1 SMP Fri Dec 8 13:40:02 UTC 2017 x86_64 GNU/Linux
Matplotlib version: 2.1.1
Matplotlib backend (print(matplotlib.get_backend())): module://ipykernel.pylab.backend_inline
Python version: 3.6.3
Jupyter version (if applicable): 4.4.0
Other libraries: numpy (1.13.3)
All libraries were installed using pip in a docker image derived from python:3.
Bug report
Bug summary
The color bar has multiple labels with the value 0 if
matplotlib.colors.SymLogNormis used leading to a "bold-looking" label.Code for reproduction
Actual outcome on the left, expected outcome on the right
Matplotlib version
print(matplotlib.get_backend())): module://ipykernel.pylab.backend_inlineAll libraries were installed using pip in a docker image derived from
python:3.