PYTHON

plot.barh() group by

df.groupby('year').case_status.value_counts().unstack(0).plot.barh()

python grouped bar chart

sb.countplot(data=fuel_econ, x='VClass', hue='trans_type')

python grouped bar chart

pd.crosstab(fuel_econ['VClass'], fuel_econ['trans_type']).plot.bar()
plt.xticks(rotation=15)
plt.ylabel('count')
plt.title("Using Pandas' plot backend")
plt.show()

python bar plot groupby

df.groupby(['tags_0', 'gender']).gender.count().unstack().plot(kind='barh', legend=False, color=['r', 'g', 'b'])

bar plot group by pandas

df.groupby('year').case_status.value_counts().unstack().plot.barh()

ploting bar graph using Groupby

data_1.groupby('Manufactorer')['Manufactorer'].count()
data_1.groupby('Manufactorer')['Manufactorer'].count().sort_values(ascending = False)
data_1.groupby('Manufactorer')['Manufactorer'].count().sort_values(ascending = False).plot(kind = 'bar')