Histogram per hour - matplotlib

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I'm analyzing public data on transport accidents in the UK.

My dataframe looks like this :

Index     Time

0         02:30
1         00:37
2         01:25
3         09:15
4         07:53
5         09:29
6         08:53
7         10:05

I'm trying to plot a histogram showing accident distribution by time of day, here is my code : 

  import matplotlib
  import matplotlib.pyplot as plt
  import numpy as np
  import datetime as dt
  import matplotlib.dates as mdates
  df['hour']=pd.to_datetime(df['Time'],format='%H:%M')
  df.set_index('hour', drop=False, inplace=True)
  df['hour'].groupby(pd.Grouper(freq='60Min')).count().plot(kind='bar', color='b')

This is the output:

Graph

In this graph, I'd like to change the labels on the x-axis to the format 'hh:mm'. How would I go about doing this?

pandas-groupby histogram matplotlib python
1 Answers

What you are missing is setting the format of the matplotlib x-axis format:

df.set_index('hour', drop=False, inplace=True)
df = df['hour'].groupby(pd.Grouper(freq='60Min')).count()
ax = df.plot(kind='bar', color='b')
ticklabels = df.index.strftime('%H:%Mh')
ax.xaxis.set_major_formatter(matplotlib.ticker.FixedFormatter(ticklabels))
plt.show()
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