pandas grouped plot chart groupby

Question

Tried to create grouped bar chart in pandas. Data looks like this

month	companyname	profit
dec	a	20
jan	a	30
feb	a	50
dec	c	80
jan	c	20
feb	c	34
dec	b	20
jan	b	30
feb	b	50
dec	a	20
jan	a	30
feb	a	50

• x axis: company name
• y axis: profit
• hue: month.

Desired Output:

Answer 1

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

sns.barplot(data=df, x='companyname', y='profit', hue='month')
plt.show()

Answer 2

Try this:

import calendar

month_order = map(str.lower, calendar.month_abbr[1:]) 
df.pivot_table('profit', 'companyname', 'month')\
  .reindex(month_order, axis=1)\
  .dropna(how='all', axis=1)\
  .plot.bar()

Output:

Note: Here I import calendar to get the month abbreviation order and use map to lowercase the string to match your data, then use pd.DataFrame.reindex to reorder the columns and plotted.