interpolation="antialiased"and fixing that :)))
%matplotlib ipymplthe same thing? I really thought they were but https://github.com/matplotlib/matplotlib/issues/18741#issuecomment-709455563 has be confused
well if somebody who is on the mailing list just wants to do a zero-effort user help, feel free to copy/paste respond to most recent message with:
You should be able to manually increase the maximum number of "ticks" that you find acceptable by using
matplotlib.ticker.LogLocator(numticks=N), like so:
import matplotlib.pyplot as plt import numpy as np import matplotlib.ticker t = np.logspace(0, 4, 10) fig = plt.figure() ax = fig.add_subplot() ax.loglog(t, t**3) enough_ticks = matplotlib.ticker.LogLocator(numticks=15) ax.get_yaxis().set_major_locator(enough_ticks)
scipy.ndimage? I've been told
scipyis too big a dependancy, but is that really true in 2020? What fraction of folks do we think are installing matplotlib, but not scipy?
scipy.ndimage. At the same time, scipy is still not a trivial dependency.
Currently, conda-forge still can't build windows packages of scipy on windows-based CI infrastructure.