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This is a regression in master compared to 1.5.0.
import numpy as np import matplotlib.pyplot as plt ax0 = plt.subplot(221) ax1 = plt.subplot(222) ax2 = plt.subplot(224, sharex=ax1) for ax in [ax0, ax1, ax2]: ax.loglog(np.arange(10), np.random.rand(10)) plt.show()
(In 1.5.0 all axes set their xlims ignoring the x=0 point).
The text was updated successfully, but these errors were encountered:
Merge pull request #5760 from mdboom/log-limits
144aa6b
Fix #5753. Handle minpos in log scale
b1f1692
mdboom
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This is a regression in master compared to 1.5.0.
(In 1.5.0 all axes set their xlims ignoring the x=0 point).
The text was updated successfully, but these errors were encountered: