Grouped bar chart with labels

fig, ax = plt.subplots(figsize=(12, 8))
x = np.arange(len(df.job.unique()))

# Define bar width. We'll use this to offset the second bar.
bar_width = 0.4

# Note we add the `width` parameter now which sets the width of each bar.
b1 = ax.bar(x, df.loc[df['sex'] == 'men', 'count'],
            width=bar_width)
# Same thing, but offset the x by the width of the bar.
b2 = ax.bar(x + bar_width, df.loc[df['sex'] == 'women', 'count'],
            width=bar_width)

Source: pythoncharts.com

Similar codes

2 votes276 views2 answers
Django template array index
Python Django
1 vote201 views1 answer
Rum system commands python
Python
0 vote207 views1 answer
Explain the use of return keyword python
Python
20 votes198 views4 answers
How to make computer go in sleep mode using pythn
Python
1 vote205 views1 answer
Title tikinter
Python
0 vote187 views1 answer
Pandas dataframe unique multiple columns
Python
3 votes230 views2 answers
Python extract specific columns from pandas dataframe
Python
1 vote234 views1 answer
Return json with flask
Python Flask
0 vote225 views1 answer
Python import colors
Python
1 vote235 views1 answer
Python multiple conditions in dataframe column values
Python