bone.recipes

matplotlib cheat sheet

To manually set the size of a matplotlib plot, do:

import numpy as np
import matplotlib.pyplot as plot

x = np.random.normal(size=1000)

# Option 1:
if True:
  # 8" x 4.5"
  plot.rcParams["figure.figsize"] = 8, 4.5
  plot.hist(x)
  plot.show()
  plot.clf()

# Option 2:
if True:
  fig = plot.figure()
  fig.set_figwidth(8)
  fig.set_figheight(4.5)
  plot.hist(x)
  plot.show()
  plot.clf()

# Note that in either option, setting the dimensions must be done *before*
# plotting!

To use a particular (named) color palette:

import matplotlib as mpl

# List all color sequences:
for name in mpl.color_sequences:
  print(name)

# tab10
# tab20
# tab20b
# tab20c
# Pastel1
# Pastel2
# Paired
# Accent
# Dark2
# Set1
# Set2
# Set3
# petroff10

# List the colors in a particular color sequence:
for color in mpl.color_sequences["Pastel1"]:
  print(color)

# (0.984313725490196, 0.7058823529411765, 0.6823529411764706)
# (0.7019607843137254, 0.803921568627451, 0.8901960784313725)
# (0.8, 0.9215686274509803, 0.7725490196078432)
# (0.8705882352941177, 0.796078431372549, 0.8941176470588236)
# (0.996078431372549, 0.8509803921568627, 0.6509803921568628)
# (1.0, 1.0, 0.8)
# (0.8980392156862745, 0.8470588235294118, 0.7411764705882353)
# (0.9921568627450981, 0.8549019607843137, 0.9254901960784314)
# (0.9490196078431372, 0.9490196078431372, 0.9490196078431372)