Zystkmt

I have a notebook with 2* bar charts, one is winter data & one is summer data. I have counted the total of all the crimes and plotted them in a bar chart, using code:

ax = summer["crime_type"].value_counts().plot(kind='bar')

plt.show()

Which shows a graph like:

I have another chart nearly identical, but for winter:

ax = winter["crime_type"].value_counts().plot(kind='bar')

plt.show()

And I would like to have these 2 charts compared against one another in the same bar chart (Where every crime on the x axis has 2 bars coming from it, one winter & one summer).

I have tried, which is just me experimenting:

bx = (summer["crime_type"],winter["crime_type"]).value_counts().plot(kind='bar')

plt.show()

Any advice would be appreciated!

The following generates dummies of your data and does the grouped bar chart you wanted:

import random

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt



s = "Crime Type Summer|Crime Type Winter".split("|")



# Generate dummy data into a dataframe

j = {x: [random.choice(["ASB", "Violence", "Theft", "Public Order", "Drugs"]

                       ) for j in range(300)] for x in s}

df = pd.DataFrame(j)



index = np.arange(5)

bar_width = 0.35



fig, ax = plt.subplots()

summer = ax.bar(index, df["Crime Type Summer"].value_counts(), bar_width,

                label="Summer")



winter = ax.bar(index+bar_width, df["Crime Type Winter"].value_counts(),

                 bar_width, label="Winter")



ax.set_xlabel('Category')

ax.set_ylabel('Incidence')

ax.set_title('Crime incidence by season, type')

ax.set_xticks(index + bar_width / 2)

ax.set_xticklabels(["ASB", "Violence", "Theft", "Public Order", "Drugs"])

ax.legend()



plt.show()

With this script I got:

You can check out the demo in the matplotlib docs here: https://matplotlib.org/gallery/statistics/barchart_demo.html

The important thing to note is the index!

index = np.arange(5) # Set an index of n crime types

...

summer = ax.bar(index, ...)

winter = ax.bar(index+bar_width, ...)

...

ax.set_xticks(index + bar_width / 2)

These are the lines that arrange the bars on the horizontal axis so that they are grouped together.