setting spacing between grouped bar plots in matplotlib

by

Actually I think this problem is best solved by adjusting figsize and width; here is my output with figsize=(2,7) and width=0.3:

enter image description here

By the way, this type of thing becomes a lot simpler if you use pandas wrappers (i’ve also imported seaborn, not necessary for the solution, but makes the plot a lot prettier and more modern looking in my opinion):

import pandas as pd        
import seaborn 
seaborn.set() 

df = pd.DataFrame(groups, index=group_labels)
df.plot(kind='bar', legend=False, width=0.8, figsize=(2,5))
plt.show()

enter image description here

More Related Contents:

  1. understanding matplotlib.subplots python [duplicate]
  2. Histogram Matplotlib
  3. A tool to convert MATLAB code to Python [closed]
  4. scipy: savefig without frames, axes, only content
  5. How to create a density plot in matplotlib?
  6. How to plot empirical cdf (ecdf)
  7. matplotlib – extracting data from contour lines
  8. Fitting a Normal distribution to 1D data
  9. Plotting the data with scrollable x (time/horizontal) axis on Linux
  10. How to plot line (polygonal chain) with numpy/scipy/matplotlib with minimal smoothing
  11. How to ‘turn off’ blurry effect of imshow() in matplotlib?
  12. Creating a Confidence Ellipses in a sccatterplot using matplotlib
  13. how to annotate heatmap with text in matplotlib
  14. Creating a Confidence Ellipsis in a scatterplot using matplotlib
  15. How do I plot list of tuples in Python?
  16. Plotting implicit equations in 3d
  17. new pythonic style for shared axes square subplots in matplotlib?
  18. 3D Plots over non-rectangular domain
  19. How to create a density plot
  20. Matplotlib – Finance volume overlay
  21. When to use cla(), clf() or close() for clearing a plot in matplotlib?
  22. Plotting time in Python with Matplotlib
  23. Matplotlib different size subplots
  24. Numpy Resize/Rescale Image
  25. How do I tell Matplotlib to create a second (new) plot, then later plot on the old one?
  26. Storing numpy sparse matrix in HDF5 (PyTables)
  27. How to calculate the statistics “t-test” with numpy
  28. How do I use numpy.where()? What should I pass, and what does the result mean? [closed]
  29. multidimensional confidence intervals [closed]
  30. Is the order of a Python dictionary guaranteed over iterations?

Leave a Comment