["python","pandas","matplotlib","time-series"]
Can Pandas plot a histogram of dates?

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 pandas?
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: df.groupby(df["date"].dt.month).count().plot(kind="bar") .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: df.groupby([df["date"].dt.year, df["date"].dt.month]).count().plot(kind="bar") Which gives: