You can use the strftime
method in pandas to format the datetime column. Here's an example:
import pandas as pd
# create a sample dataframe with a datetime column
df = pd.DataFrame({'date': ['2020-05-15', '2021-01-01', '2022-06-30'], 'value': [10, 20, 30]})
df['date'] = pd.to_datetime(df['date'])
# format the datetime column as YYYYMMDD
df['date'] = df['date'].dt.strftime('%Y%m%d')
print(df)
Output:
date value
0 20200515 10
1 20210101 20
2 20220630 30
In the example, we first convert the 'date' column to datetime format using pd.to_datetime()
. Then we use the strftime
method with a formatting string of '%Y%m%d' to generate the desired format of YYYYMMDD. Finally, we assign the formatted datetime values back into the 'date' column.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2022-03-26 11:00:00 +0000
Seen: 10 times
Last updated: Dec 25 '22
How can I include the hours component to a DateTime column using PowerQuery?
Identify commonalities among the strings in a specific column of a DataFrame.
What is the procedure for using Pandas fillna() method with the column's mode?
How can you use linq to choose a specific column from a datatable?