Horizontal stacked bar chart in Matplotlib
matplotlib, pandas, python
Solution
Since you are using pandas, it's worth mentioning that you can do stacked bar plots natively:
df2.plot(kind='bar', stacked=True)
See the visualisation section of the docs.
Problem
I'm trying to create a horizontal stacked bar chart using `matplotlib` but I can't see how to make the bars actually stack rather than all start on the y-axis. Here's my testing code. ``` fig = plt.figure() ax = fig.add_subplot(1,1,1) plot_chart(df, fig, ax) ind = arange(df.shape[0]) ax.barh(ind, df['EndUse_91_1.0'], color='#FFFF00') ax.barh(ind, df['EndUse_91_nan'], color='#FFFF00') ax.barh(ind, df['EndUse_80_1.0'], color='#0070C0') ax.barh(ind, df['EndUse_80_nan'], color='#0070C0') plt.show() ``` Edited to use `left` kwarg after seeing tcaswell's comment. ``` fig = plt.figure() ax = fig.add_subplot(1,1,1) plot_chart(df, fig, ax) ind = arange(df.shape[0]) ax.barh(ind, df['EndUse_91_1.0'], color='#FFFF00') lefts = df['EndUse_91_1.0'] ax.barh(ind, df['EndUse_91_nan'], color='#FFFF00', left=lefts) lefts = lefts + df['EndUse_91_1.0'] ax.barh(ind, df['EndUse_80_1.0'], color='#0070C0', left=lefts) lefts = lefts + df['EndUse_91_1.0'] ax.barh(ind, df['EndUse_80_nan'], color='#0070C0', left=lefts) plt.show() ``` This seems to be the right approach, but it fails if there is no data for a particular bar as it's trying to add `nan` to a value which then returns `nan`.