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How to create a stacked bar chart for my DataFrame using Seaborn in Matplotlib?
To create a stacked bar chart, we can use Seaborn's barplot() method, i.e., show point estimates and confidence intervals with bars.
Create df using Pandas Data Frame.
Using barplot() method, create bar_plot1 and bar_plot2 with color as red and green, and label as count and select.
To enable legend, use legend() method, at the upper-right location.
To display the figuree, use show() method.
Example
import pandas import matplotlib.pylab as plt import seaborn as sns plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True df = pandas.DataFrame(dict( number=[2, 5, 1, 6, 3], count=[56, 21, 34, 36, 12], select=[29, 13, 17, 21, 8] )) bar_plot1 = sns.barplot(x='number', y='count', data=df, label="count", color="red") bar_plot2 = sns.barplot(x='number', y='select', data=df, label="select", color="green") plt.legend(ncol=2, loc="upper right", frameon=True) plt.show()
Output
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