How to pick a new color for each plotted line within a figure in matplotlib?

by

I usually use the second one of these:

from matplotlib.pyplot import cm
import numpy as np

#variable n below should be number of curves to plot

#version 1:

color = cm.rainbow(np.linspace(0, 1, n))
for i, c in zip(range(n), color):
   plt.plot(x, y, c=c)

#or version 2:

color = iter(cm.rainbow(np.linspace(0, 1, n)))
for i in range(n):
   c = next(color)
   plt.plot(x, y, c=c)

Example of 2:
example plot with iter,next color

More Related Contents:

  1. Plotting function with matplotlib [closed]
  2. pyplot scatter plot marker size
  3. Fast Live Plotting in Matplotlib / PyPlot
  4. set ticks with logarithmic scale
  5. pyplot – copy an axes content and show it in a new figure
  6. Relationship between dpi and figure size
  7. Annotate data points while plotting from Pandas DataFrame
  8. Get default line colour cycle
  9. Rotate label text in seaborn factorplot
  10. Matplotlib: Changing the color of an axis
  11. Creating figure with exact size and no padding (and legend outside the axes)
  12. Matplotlib axis with two scales shared origin
  13. Matplotlib multiple animate multiple lines
  14. vertical & horizontal lines in matplotlib
  15. Matplotlib Colormap with two parameter
  16. How do I include a matplotlib Figure object as subplot? [duplicate]
  17. Remove the legend on a matplotlib figure
  18. Rotating axis text for each subplot
  19. Is there any way to use bivariate colormaps in matplotlib?
  20. Plotting lines connecting points
  21. matplotlib intelligent axis labels for timedelta
  22. disable matplotlib toolbar
  23. draw grid lines over an image in matplotlib
  24. Matplotlib, Consistent font using latex
  25. ImportError Cannot import name ‘warnings’ from ‘matplotlib.dates
  26. matplotlib ticks thickness
  27. How to change font size of the scientific notation in matplotlib?
  28. matplotlib: adding padding/offset to polar plots tick labels
  29. Matplotlib: re-open a closed figure? [duplicate]
  30. Heatmap with text in each cell with matplotlib’s pyplot

Leave a Comment