Skip to content

Fix tutorial pyplot scales (issue #6775) #6779

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Jul 18, 2016
Merged

Fix tutorial pyplot scales (issue #6775) #6779

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
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
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 10 additions & 1 deletion doc/pyplots/pyplot_scales.py
View file
Open in desktop
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()