熊猫date_range不返回任何值

Question

I am currently facing a problem regarding the pandas date_range. I have 2 dates in datetime64[ns] type. The start date and the end date. I am trying to create a dataframe containing the values of date_range between those 2 dates, as index. However, the dataframe created is empty, even though it is supposed to contain values.

Note that when I copy pasted that code and used it in the english version of the site it worked fine. I am facing challenges with the greek one.

The code I wrote is:

customdatedf = pd.DataFrame(index = pd.date_range(start, end, freq='D'))

start and end date are defined from another dataframe like this:

start = df['Date'].iloc[0]
end = df['Date'].iloc[-1]

and their values are returned correctly, as it appears in

print(start, end)

(Timestamp('2019-07-06 00:00:00'), Timestamp('2019-06-26 00:00:00'))

This is printed

Expected result is a dataframe having as index the dates between start and end date

Answer 1

Apparently you made an mistake with your start and end variables. Since the start is after the end variable, so to fix this turn them around:

start = pd.Timestamp('2019-07-06 00:00:00') 
end = pd.Timestamp('2019-06-26 00:00:00')

pd.DataFrame({'Col_dummy':['Dummy']}, index=pd.date_range(end, start, freq='D'))

---

           Col_dummy
2019-06-26     Dummy
2019-06-27     Dummy
2019-06-28     Dummy
2019-06-29     Dummy
2019-06-30     Dummy
2019-07-01     Dummy
2019-07-02     Dummy
2019-07-03     Dummy
2019-07-04     Dummy
2019-07-05     Dummy
2019-07-06     Dummy

Or if you only want an index :

pd.DataFrame(index=pd.date_range(end, start, freq='D'))

---

Empty DataFrame
Columns: []
Index: [2019-06-26 00:00:00, 2019-06-27 00:00:00, 2019-06-28 00:00:00, 2019-06-29 00:00:00, 2019-06-30 00:00:00, 2019-07-01 00:00:00, 2019-07-02 00:00:00, 2019-07-03 00:00:00, 2019-07-04 00:00:00, 2019-07-05 00:00:00, 2019-07-06 00:00:00]

Answer 2

Maybe you could change index into data :

customdatedf = pd.DataFrame(data = pd.date_range(start, end, freq='D'))

Please take note that the column name will take default value of 0 .