在行中插入缺失的日期

Question

I have this data frame where weather data is available.

Problem - My problem is when I try to add missing dates with the code below:-

dt = pd.date_range("01-01-2021","01-11-2021")

idx = pd.DatetimeIndex(dt)

new_df9 = df_missing_values.reindex(idx)

After adding the dates - 2021-02-01, all my data in temperature, windspeed and event columns transformed to NaN values. As you can see in the image below:-

Please help me fix this issue.

Answer 1

Apparently, your data is identified as monthly data. For example, the second row is the first of April of 2021, that is why when you reindex until the 11th of January the rest of the data is gone.

You might need to correct the index first to 2021-01-04 instead of 2021-04-01 if the data corresponds to the 4th of January instead of the 1st of April