How to create a grouped bar plot
The goal here is to create a grouped bar plot, not subplots like the image below
matplotlib
matplotlib color gradient in patches?
I’d like to create ellipses in matplotlib with a fill color that has an alpha (opacity) value that depends on the radius;
Matplotlib: TypeError: can’t multiply sequence by non-int of type ‘numpy.float64’
I am trying to fit a linear line of best fit to my matplotlib graph. I keep getting the error that x and y do not have the same first dimension. But they both have lengths of 15. What am I doing wrong?
how to use ‘extent’ in matplotlib.pyplot.imshow
I managed to plot my data and would like to add a background image (map) to it.
Data is plotted by the long/lat values and I have the long/lat values for the image’s three corners (top left, top right and bottom left) too.
determine matplotlib axis size in pixels
Given a set of axes in matplotlib, is there a way to determine its size in pixels? I need to scale things according to adjust for larger or smaller figures.
Add alpha to an existing matplotlib colormap
I’d like to make an overlay of several hexbin plots, but with builtin colormaps only the last one is visible. I don’t want to construct a colormap de novo. How one would add linear alpha to the colormap without knowing the inner structure of the colormap beforehand?
No outlines on bins of Matplotlib histograms or Seaborn distplots
While doing some practice problems using seaborn and a Jupyter notebook, I realized that the distplot() graphs did not have the darker outlines on the individual bins that all of the sample graphs in the documentation have. I tried creating the graphs using Pycharm and noticed the same thing. Thinking it was a seaborn problem, I tried some hist() charts using matplotlib, only to get the same results.
Repeating x axis labels for all facets using FacetGrid in seaborn
I am working with the FacetGrid example presented here that results in the plot below. In my data set, there is quite a lot of plots, and it would be convenient to have the x axis labels repeated for each facet, not only at the bottom.
How to edit properties of whiskers, fliers, caps, etc. in Seaborn boxplot
I have created a nested boxplot with an overlayed stripplot using the Seaborn package. I have seen answers on stackoverflow regarding how to edit box properties both for individual boxes and for all boxes using ax.artists generated by sns.boxplot.
How to hide in IPython notebook
I am plotting a NumPy array of values, I, using IPython notebook in %matplotlib inline mode with the plot command plt.plot(I,'o').