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Fix tutorial pyplot scales (issue #6775) #6779

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Merged
tacaswell merged 2 commits into from
Jul 18, 2016
Merged

Fix tutorial pyplot scales (issue #6775) #6779

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261dbf4
Suppr. minor y-ticklabels w/ logit scale
afvincent Jul 17, 2016
c97fea9
Tweak linthreshy to avoid overlap of y-ticklabels
afvincent Jul 17, 2016
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11 changes: 10 additions & 1 deletion doc/pyplots/pyplot_scales.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,8 @@
import numpy as np
import matplotlib.pyplot as plt

from matplotlib.ticker import NullFormatter # useful for `logit` scale

# make up some data in the interval ]0, 1[
y = np.random.normal(loc=0.5, scale=0.4, size=1000)
y = y[(y > 0) & (y < 1)]
Expand Down Expand Up @@ -29,7 +31,7 @@
# symmetric log
plt.subplot(223)
plt.plot(x, y - y.mean())
plt.yscale('symlog', linthreshy=0.05)
plt.yscale('symlog', linthreshy=0.01)
plt.title('symlog')
plt.grid(True)

Expand All @@ -39,5 +41,12 @@
plt.yscale('logit')
plt.title('logit')
plt.grid(True)
# Format the minor tick labels of the y-axis into empty string with
# the `NullFormatter`, to avoid cumbering it with too many labels.
plt.gca().yaxis.set_minor_formatter(NullFormatter())
# Adjust the subplot layout, because the logit one may take more space than
# usual, due to y-tick labels like "1 - 10^3"
plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.25,
wspace=0.35)

plt.show()