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Various examples updates. #10326
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Various examples updates. #10326
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fig = plt.figure(1, figsize=(6, 3)) | ||
fig, (ax1, ax2) = plt.subplots(1, 2) | ||
fig.subplots_adjust(wspace=0.5) |
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Could be added to subplots
via gridspec_kw
.
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Not convinced it's an improvement in legibility...
import matplotlib.pyplot as plt | ||
from numpy import nonzero | ||
from numpy.random import rand | ||
from matplotlib import colors as mcolors, path, pyplot as plt |
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Not sure if mixed import
and import as
are easy to read.
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disagree, but still split it out
""" | ||
from matplotlib.pyplot import figure, show | ||
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from matplotlib import pyplot as plt |
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import matplotlib.pyplot as plt
(also in various other locations, please search/replace)
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fixed
# plot specifying units | ||
ax2.plot(x, y, 'o', xunits=2.0) | ||
ax2.set_title("xunits = 2.0") | ||
plt.setp(ax2.get_xticklabels(), rotation=30, ha='right') |
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Broadcasting explicitly to a list of tick labels feels a bit clumsy. Is there maybe a method to set this for all tick labels, e.g. tick_params
or similar?
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tick_params can set labelrotation, but not horizontalalignment (and I don't think it's worth changing that, IMO setp actually does this job perfectly well...).
label.set_ha('right') | ||
ax1.plot(x, y) # uses default units | ||
ax1.set_title('default units') | ||
plt.setp(ax1.get_xticklabels(), rotation=30, ha='right') |
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see above
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ditto
t = arange(0.0, 3.0, 0.01) | ||
s = sin(2*pi*t) | ||
t = np.arange(0.0, 3.0, 0.01) | ||
s = np.sin(2*np.pi*t) |
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Do we have a convention, if this should include spaces around the operators? PEP8 would want them. Throughout the examples both variants are used.
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See discussion at #7562 (comment) which I now agree with: I still believe spaces are in general good, but in some cases no spaces read better.
See also https://www.python.org/dev/peps/pep-0008/#other-recommendations ("use your own judgment", hehe).
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These changes are all fine +/- @timhoffm suggestions. Probably could make more, but overall the movement away from the pyplot interface is helpful.
- don't import out of pyplot or numpy, import as plt/np. - move some examples to use subplots() instead of add_subplot. - set random seed for some examples. - fix some docstrings.
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