How to show two figures using matplotlib?

by

Alternatively to calling plt.show() at the end of the script, you can also control each figure separately doing:

f = plt.figure(1)
plt.hist........
............
f.show()

g = plt.figure(2)
plt.hist(........
................
g.show()

raw_input()

In this case you must call raw_input to keep the figures alive.
This way you can select dynamically which figures you want to show

Note: raw_input() was renamed to input() in Python 3

More Related Contents:

  1. How can I convert an RGB image into grayscale in Python?
  2. Matplotlib plots: removing axis, legends and white spaces
  3. Python matplotlib multiple bars
  4. How to put individual tags for a matplotlib scatter plot?
  5. Add x and y labels to a pandas plot
  6. matplotlib Legend Markers Only Once
  7. Plot different DataFrames in the same figure
  8. Setting Different Bar color in matplotlib Python [duplicate]
  9. matplotlib bar chart with dates
  10. How to plot normal distribution
  11. Matplotlib – add colorbar to a sequence of line plots
  12. how to handle an asymptote/discontinuity with Matplotlib
  13. Python: Is it possible to change line color in a plot if exceeds a specific range?
  14. Seaborn: countplot() with frequencies
  15. How to plot stacked event duration (Gantt Charts)
  16. Matplotlib runs out of memory when plotting in a loop
  17. When to use imshow over pcolormesh?
  18. How can I show figures separately in matplotlib?
  19. ‘invalid value encountered in double_scalars’ warning, possibly numpy
  20. How to change outliers to some other colors in a scatter plot
  21. How to write your own LaTeX preamble in Matplotlib?
  22. pandas .plot() x-axis tick frequency — how can I show more ticks?
  23. Repeating x axis labels for all facets using FacetGrid in seaborn
  24. Plotting: ValueError: x and y must have same first dimension
  25. Python saving multiple figures into one PDF file
  26. How to force integer tick labels
  27. Remove colorbar from figure
  28. Custom arrow style for matplotlib, pyplot.annotate
  29. datetime x-axis matplotlib labels causing uncontrolled overlap
  30. Python package to plot two heatmaps in one (split each square into two triangles)

Leave a Comment