This is my code, I am trying to get months for a new column
import pandas as pd
df = pd.read_excel("..\Data.xlsx")
df.head(4)
p = df["Month"][0]
p[0:3]
I don't know what's the issue is here but it was working well for other datasets with the same attributes
Dataset:
Month Passengers
0 1995-01-01 112
1 1995-02-01 118
2 1995-03-01 132
3 1995-04-01 129
4 1995-05-01 121
P.S: In the excel data set month values are in Jan-1995 Feb-1995 format, it changed to YY:MM:DAY format because of pandas.
Traceback (most recent call last):
File "C:\Users\sreen\AppData\Local\Temp/ipykernel_27276/630478717.py", line 1, in <module>
p[0:3]
TypeError: 'Timestamp' object is not subscriptable
CodePudding user response:
Maybe you need to write p = df["Month"]
? In you current code, p
is the first value of the Month
column, so p[0:3]
is just a Timestamp, which can't be subscripted.
CodePudding user response:
This shall work for you:
df.rename(columns = {'Month':'Date'}, inplace = True)
df['Month'] = pd.DatetimeIndex(df['Date']).month