Dataframe 列在转换为 pandas 日期时间格式时会导致 NaT

Question

I read a csv file and try to convert my data frame column 'Date' to pandas.to_datetime format but it results in NaT. I need the date column should be converted to date format 'year-month-date'

Code:

df['Date'] = pd.to_datetime(df['Date'], errors='coerce', format= '%Y-%m-%d')

output with NaT:

Answer 1

Solved myself. The format option requires the current format of the dataframe 'Date' column not the expected 'Date' format. I have given the expected format as format= '%Y-%m-%d' and changed to the current format of the date and it works.

Wrong code:

df['Date'] = pd.to_datetime(df['Date'], errors='coerce', format= '%Y-%m-%d')

Right code:

df['Date'] = pd.to_datetime(df['Date'], errors='coerce', format= '%d-%m-%Y')