Vfrdtyky

so I'm trying to plot out a graph using geopandas but I'm in this situation where I'm trying to figure out how to do it correctly. I would like to plot my graph similar to this:

My current info is shown as this:

<class 'pandas.core.frame.DataFrame'>

RangeIndex: 313601 entries, 0 to 313600

Data columns (total 6 columns):

Month          313601 non-null object

Reported by    313601 non-null object

Longitude      313601 non-null float64

Latitude       313601 non-null float64

Location       313601 non-null object

Crime type     313601 non-null object

dtypes: float64(2), object(4)

memory usage: 14.4+ MB

Attempt:
monthlyCrime = df["Month"].value_counts(ascending=False)
print(monthlyCrime)

plt.figure(figsize=(11,5))

plt.plot(monthlyCrime.index, monthlyCrime.values)

plt.xticks(rotation=90)



#Add description

plt.title('Number of crimes per month (2016)')

plt.xlabel('Months')

plt.ylabel('Number of crimes')

Therefore I would like to have it so the crime type and month are linked, my attempts have been pretty bleak so far. I know there is a count feature and I have tried it, but I didn't get it in the correct order and I'm unsure how I would then apply it to the graph. Would anyone know what I would need to do? Thank you.

UPDATE:
So this is what I was able to do:

crimeDataMonthGroup = pd.DataFrame({'count' : crimeDataMonth.groupby([ "Month"] ).size()}).reset_index()



#df1 = df.groupby([ "Crime type", "Month"]).count().reset_index(name='count')

print(crimeDataMonthGroup)

tb = pd.pivot_table(crimeDataMonthGroup, values='count', index=['Month'], fill_value=0)

tb.plot(figsize=(15, 13), subplots=True, sharex=False, sharey=False)