I have loaded a CSV files with index datetime which is the last day of months in a year. I wanted to fill missing dates with empty values as rows.
Following is my CSV fi
You have to set the DatetimeIndex
on your dataframe, so I would modify your code into:
import pandas as pd
df = pd.read_csv("data.csv", index_col="Date")
df.index = pd.DatetimeIndex(df.index)
df = df.reindex(pd.date_range("2011-01-01", "2011-10-31"), fill_value="NaN")
df.to_csv('test.csv')
This should work.
EDIT: add sample test output:
...
2011-01-24,NaN,NaN
2011-01-25,NaN,NaN
2011-01-26,NaN,NaN
2011-01-27,NaN,NaN
2011-01-28,NaN,NaN
2011-01-29,NaN,NaN
2011-01-30,NaN,NaN
2011-01-31,4.75,5.81
2011-02-01,NaN,NaN
2011-02-02,NaN,NaN
2011-02-03,NaN,NaN
2011-02-04,NaN,NaN
2011-02-05,NaN,NaN
2011-02-06,NaN,NaN
...