Matplotlib: Difference between revisions
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plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize | plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize | ||
plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title | plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title | ||
</syntaxhighlight> | |||
===Multiple Figures=== | |||
<syntaxhighlight lang="python"> | |||
plt.figure() | |||
f, axarr = plt.subplots(3,1) | |||
axarr[0].imshow(np.clip(x_val[0, 0, :, :, :].numpy(), 0, 1)) | |||
axarr[1].imshow(np.clip(val_image[0, :, :, :].numpy(), 0, 1)) | |||
axarr[2].imshow(np.clip(y_val[0, :, :, :].numpy(), 0, 1)) | |||
</syntaxhighlight> | </syntaxhighlight> | ||
==Animations== | ==Animations== | ||
* [https://towardsdatascience.com/animations-with-matplotlib-d96375c5442c Animations with Matplotlib] | * [https://towardsdatascience.com/animations-with-matplotlib-d96375c5442c Animations with Matplotlib] | ||
Revision as of 18:36, 17 June 2020
Matplotlib is used for making plots in Python
Installation
pip install matplotlib
Usage
Usually you import as follows
import matplotlib.pyplot as plt
Saving a plot
plt.savefig("my_figure.png", dpi=450)
Fonts
SMALL_SIZE = 8
MEDIUM_SIZE = 10
BIGGER_SIZE = 12
plt.rc('font', size=SMALL_SIZE) # controls default text sizes
plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title
plt.rc('axes', labelsize=MEDIUM_SIZE) # fontsize of the x and y labels
plt.rc('xtick', labelsize=SMALL_SIZE) # fontsize of the tick labels
plt.rc('ytick', labelsize=SMALL_SIZE) # fontsize of the tick labels
plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize
plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title
Multiple Figures
plt.figure()
f, axarr = plt.subplots(3,1)
axarr[0].imshow(np.clip(x_val[0, 0, :, :, :].numpy(), 0, 1))
axarr[1].imshow(np.clip(val_image[0, :, :, :].numpy(), 0, 1))
axarr[2].imshow(np.clip(y_val[0, :, :, :].numpy(), 0, 1))