Bug report
Even with short timeseries, fig.savefig() throws an OverflowError for high dpi's.
The example below uses 'Agg' with a significantly increased chunksize, yet it still throws an error for dpis > 250.
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('Agg')
matplotlib.rcParams['agg.path.chunksize'] = 20000000
x = np.linspace(0, 100, 100000)
y = np.random.randint(1, 100, 100000)
fig = plt.figure()
plt.plot(x, y)
try:
fig.savefig('Figure.png', format='png')
print('Successfully plotted without dpi')
except Exception as e:
print(e)
try:
fig.savefig('Figure.png', format='png', dpi=500)
print('Successfully plotted with high dpi')
except Exception as e:
print(e)The output here is:
Successfully plotted without dpi
Exceeded cell block limit (set 'agg.path.chunksize' rcparam)
Process finished with exit code 0
whereas I expected both to be successfully plotted, given that the chunksize OverflowError should only show when the number of plots exceeds the chunksize.
Matplotlib version
- Operating system: Windows 10
- Matplotlib version: 3.3.3
- Matplotlib backend: agg
- Python version: 3..9.1
- Other libraries: NumPy 1.19.4
- Everything is installed with pip
Bug report
Even with short timeseries,
fig.savefig()throws anOverflowErrorfor high dpi's.The example below uses
'Agg'with a significantly increasedchunksize, yet it still throws an error for dpis > 250.The output here is:
whereas I expected both to be successfully plotted, given that the chunksize OverflowError should only show when the number of plots exceeds the chunksize.
Matplotlib version