I have a df[datetime] looks like this:
2020-07-13 08:30:00
2020-07-13 08:35:00
2020-07-13 08:40:00
2020-07-13 08:45:00
You can have it by run this code:
import pandas as pd
from io import StringIO
StringData = StringIO("""datetime
2020-07-13 08:30:00
2020-07-13 08:35:00
2020-07-13 08:40:00
2020-07-13 08:45:00
""")
df = pd.read_csv(StringData)
print(df)
My question is how can I convert it to numbers that only keep hours and numbers, the ideal output should like:
datetime
0830
0835
0840
0845
the type of it need be number or string. Any friend can help?
CodePudding user response:
Let us try
df['time'] = pd.to_datetime(df['datetime']).dt.strftime('%H%M')
Out[1031]:
0 0830
1 0835
2 0840
3 0845
Name: datetime, dtype: object