Matplotlib: Difference between revisions
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<syntaxhighlight lang="python"> | <syntaxhighlight lang="python"> | ||
f, ax = plt.subplots(figsize=(5, 3)) | f, ax = plt.subplots(figsize=(5, 3)) | ||
# or | |||
plt.figure(figsize=(5, 3)) | plt.figure(figsize=(5, 3)) | ||
plt.tight_layout() | plt.tight_layout() | ||
Latest revision as of 19:03, 8 February 2024
Matplotlib is used for making plots in Python
Installation
pip install matplotlib
Usage
Usually you import as follows
import matplotlib.pyplot as plt
Set size
f, ax = plt.subplots(figsize=(5, 3))
# or
plt.figure(figsize=(5, 3))
plt.tight_layout()
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
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))