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matplotlib
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Color Demo

Matplotlib gives you 8 ways to specify colors,

  1. an RGB or RGBA tuple of float values in [0, 1] (e.g. (0.1, 0.2, 0.5) or (0.1, 0.2, 0.5, 0.3)). RGBA is short for Red, Green, Blue, Alpha;
  2. a hex RGB or RGBA string (e.g., '#0F0F0F' or '#0F0F0F0F');
  3. a string representation of a float value in [0, 1] inclusive for gray level (e.g., '0.5');
  4. a single letter string, i.e. one of {'b', 'g', 'r', 'c', 'm', 'y', 'k', 'w'};
  5. a X11/CSS4 ("html") color name, e.g. "blue";
  6. a name from the xkcd color survey, prefixed with 'xkcd:' (e.g., 'xkcd:sky blue');
  7. a "Cn" color spec, i.e. 'C' followed by a single digit, which is an index into the default property cycle (matplotlib.rcParams['axes.prop_cycle']); the indexing occurs at artist creation time and defaults to black if the cycle does not include color.
  8. one of {'tab:blue', 'tab:orange', 'tab:green', 'tab:red', 'tab:purple', 'tab:brown', 'tab:pink', 'tab:gray', 'tab:olive', 'tab:cyan'} which are the Tableau Colors from the 'tab10' categorical palette (which is the default color cycle);

For more information on colors in matplotlib see

import matplotlib.pyplot as plt
import numpy as np

t = np.linspace(0.0, 2.0, 201)
s = np.sin(2 * np.pi * t)

# 1) RGB tuple:
fig, ax = plt.subplots(facecolor=(.18, .31, .31))
# 2) hex string:
ax.set_facecolor('#eafff5')
# 3) gray level string:
ax.set_title('Voltage vs. time chart', color='0.7')
# 4) single letter color string
ax.set_xlabel('time (s)', color='c')
# 5) a named color:
ax.set_ylabel('voltage (mV)', color='peachpuff')
# 6) a named xkcd color:
ax.plot(t, s, 'xkcd:crimson')
# 7) Cn notation:
ax.plot(t, .7*s, color='C4', linestyle='--')
# 8) tab notation:
ax.tick_params(labelcolor='tab:orange')


plt.show()
../../_images/sphx_glr_color_demo_001.png