在 python 中将字符串 (MM-DD) 转换为日期时间

Question

I want to make a time-series analysis with python, but i can't convert the data into datetime because the data is still in string (MM-DD).

Period Jan-10 Feb-10 Mar-10 Apr-10 etc

Is there any other way to convert this kind of data into datetime object?

Answer 1

There is no need to use the datetime module. Pandas can convert strings to date when reading the data from the csv file or you can use the to_datetime method after the data is loaded.

import pandas as pd

df = pd.read_csv('file.csv', parse_dates=['date'], infer_datetime_format=True)

If you are using a non-standard format, then you will get better results if you specify a format string. Here, it looks like the format string is '%b-%y', which is the abbreviated month name and the two-digit year without the century.

import pandas as pd

df = pd.read_csv('file.csv')
df['date'] = pd.to_datetime(df['date'], format='%b-%y')