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Bug report
The bounds check for the start_points argument is wrong if the x or y coordinates are not in ascending order:
import matplotlib.pylab as plt
import numpy as np
u = np.ones((2, 2))
v = np.zeros((2, 2))
x = np.array([0, 10])
y = np.array([10, 0]) # (a)
#y = np.array([0, 10]) # (b)
plt.streamplot(x, y, u, v, start_points=[[5, 5]]) # (c)
#plt.streamplot(x, y, u, v) # (d)
plt.show()The code results in
ValueError: Starting point (5.0, 5.0) outside of data boundaries
I would have expected that a plot with one streamline is created. The error goes away either if I replace (a) with (b) or if I replace (c) with (d). Thus if start_points are not given, plotting a descending range works totally fine.
Matplotlib version
- Operating system: macOS 10.15.7
- Matplotlib version: 3.3.2
- Matplotlib backend (
print(matplotlib.get_backend())): MacOSX - Python version: 3.8.6
- Other libraries: numpy: 1.19.2
Matplotlib has been installed via pip.
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Difficulty: Easyhttps://matplotlib.org/devdocs/devel/contribute.html#good-first-issueshttps://matplotlib.org/devdocs/devel/contribute.html#good-first-issuesGood first issueOpen a pull request against these issues if there are no active ones!Open a pull request against these issues if there are no active ones!