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notmatthancock opened this issue Dec 4, 2015 · 4 comments
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New rcParams requests #5618

notmatthancock opened this issue Dec 4, 2015 · 4 comments
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@notmatthancock
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Request 1: imshow should have separate rcParams for removing ticks and grid.

The image key should take additional parameters, so that x and y ticks are not present by default, and the grid is not overlaid by default if axes.grid is True. For example image.axis: False would be ideal. To me, it quite reasonable to want axes.grid: True as the default for numerical plots as well a separate default for imshow since they have very different use cases.

Here is an example:

import matplotlib
matplotlib.rcdefaults()
matplotlib.use('qt4agg') # or whatever
matplotlib.rcParams['axes.grid'] = True
matplotlib.rcParams['axes.axisbelow'] = True
matplotlib.rcParams['grid.linestyle'] = '--'
matplotlib.rcParams['grid.color'] = 'red'
matplotlib.rcParams['grid.linewidth'] = 2.0

import matplotlib.pyplot as plt
from numpy import zeros,cos,linspace

x = linspace(0,6.28,100)

fig = plt.figure(figsize=(12,6))

ax1 = fig.add_subplot(121)
ax1.plot(x,cos(x+2*cos(2*x)),lw=3)
ax1.set_title('Ticks and grid are a nice\ndefault for numerical plots.')

ax2 = fig.add_subplot(122)
ax2.imshow(zeros((100,100)), cmap=plt.cm.gray)
ax2.set_title('Ticks and grid are not a nice\ndefault for image plots.')

plt.show()

image-axis

Request 2: Fix inconsistent rcParams behavior with regard to plots that add patches.

Some plots that use patches follow the axes.prop_cycle, while others do not. For example hist obeys both axes.prop_cycle and patch.edgecolor, but ignores patch.facecolor (even if axes.prop_cycle is not set); however, violinplot ignores everything except patch.edgecolor, which is not apparent due to the default alpha setting for violinplot (why is this default??). Here is an example:

import matplotlib
from cycler import cycler

matplotlib.rcdefaults()
matplotlib.use('qt4agg')
matplotlib.rcParams['axes.prop_cycle'] = cycler('color', ['pink','purple','salmon'])
matplotlib.rcParams['patch.facecolor'] = 'pink'
matplotlib.rcParams['patch.edgecolor'] = 'blue'

import matplotlib.pyplot as plt
from numpy.random import randn

fig = plt.figure(figsize=(12,6))

X = randn(100)

ax = fig.add_subplot(121)
for i in range(3):
    ax.hist(X+2*i)

ax = fig.add_subplot(122)
for i in range(3):
    ax.violinplot(X+2*i)

plt.show()

violinplot-color-test

@tacaswell tacaswell added this to the next major release (2.0) milestone Dec 4, 2015
@tacaswell
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request 1 is a bit tricky, what should it do in the case where you have lines and images? I suggest using the style context manager to control this based on the context you are plotting.

Request 2 is definitely on our radar for the upcoming 2.0 release.

@notmatthancock
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request 1 is a bit tricky, what should it do in the case where you have lines and images?

Here's my opinion:

  • Combination image + line plots aren't done nearly as often as image and line plots separately.
  • Combination image + line plots will most likely need additional customization (frame limits, etc...), anyhow, so the default behavior isn't as important here, as it will most likely be overridden.

I think the default behavior for combinations of lines and images would be more-or-less arbitrary. For example, it could just take the default axes.grid behavior if the grid for plotted images followed the axes.axisbelow rule (which it doesn't seem to follow currently).

More importantly, I think the convenience of an image.axis default would outweigh any inconvenience of combination image+lines not behaving as expected.

@efiring
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efiring commented Dec 4, 2015

I really worry about rcParams getting ever more complicated and convoluted. I do not support request #1.

@tacaswell
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request 2 will be addressed in 2.0 (see #5674 ) however we will not make rcparams conditional on the type of artists being added to the axes.

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