Asked By – lollercoaster
I’ve taken my Series and coerced it to a datetime column of dtype=
datetime64[ns] (though only need day resolution…not sure how to change).
import pandas as pd df = pd.read_csv('somefile.csv') column = df['date'] column = pd.to_datetime(column, coerce=True)
but plotting doesn’t work:
ipdb> column.plot(kind='hist') *** TypeError: ufunc add cannot use operands with types dtype('<M8[ns]') and dtype('float64')
I’d like to plot a histogram that just shows the count of dates by week, month, or year.
Surely there is a way to do this in
Now we will see solution for issue: Can Pandas plot a histogram of dates?
Given this df:
date 0 2001-08-10 1 2002-08-31 2 2003-08-29 3 2006-06-21 4 2002-03-27 5 2003-07-14 6 2004-06-15 7 2003-08-14 8 2003-07-29
and, if it’s not already the case:
df["date"] = df["date"].astype("datetime64")
To show the count of dates by month:
.dt allows you to access the datetime properties.
Which will give you:
You can replace month by year, day, etc..
If you want to distinguish year and month for instance, just do:
This question is answered By – jrjc
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