Python Stacked Bar Chart Using Categorical Data

I have a Pandas dataframe (1800 obs) that looks something like this: A B C D 1 CL0 CL1 CL2 CL0 2 CL2 CL1 CL1 CL3 3 CL3 CL2 CL0

Solution 1:

print(df)

Output:

     A    B    C    D
1CL0CL1CL2CL02CL2CL1CL1CL33CL3CL2CL0CL1

Using .apply()

counts = df.apply(lambda x: x.value_counts() / len(x)).transpose()
fig = plt.figure()
ax = fig.add_subplot(111)
counts.plot(ax=ax,kind='bar', stacked=True, rot=0)
vals = ax.get_yticks()
ax.set_yticklabels(['{:3.2f}%'.format(x*100) for x in vals])
ax.yaxis.grid(True)
ax.set_axisbelow(True)
plt.show()

Output: