Return Series
and it will put them in a DataFrame.
def myfunc(a, b, c):
do something
return pd.Series([e, f, g])
This has the bonus that you can give labels to each of the resulting columns. If you return a DataFrame it just inserts multiple rows for the group.
More Related Contents:
- Why isn’t my Pandas ‘apply’ function referencing multiple columns working? [closed]
- Why does df.apply(tuple) work but not df.apply(list)?
- Apply function to each cell in DataFrame
- Return multiple columns from pandas apply()
- Create new column based on values from other columns / apply a function of multiple columns, row-wise in Pandas
- How do I select rows from a DataFrame based on column values?
- Combine two columns of text in pandas dataframe
- Convert DataFrame column type from string to datetime
- How to apply a function to two columns of Pandas dataframe
- How to convert an XML file to nice pandas dataframe?
- Dynamically evaluate an expression from a formula in Pandas
- Constructing pandas DataFrame from values in variables gives “ValueError: If using all scalar values, you must pass an index”
- Can pandas automatically read dates from a CSV file?
- df.append() is not appending to the DataFrame
- How to get rid of “Unnamed: 0” column in a pandas DataFrame read in from CSV file?
- pandas dataframe str.contains() AND operation
- Pandas groupby mean – into a dataframe?
- pandas groupby without turning grouped by column into index
- Find the unique values in a column and then sort them
- how do I calculate a rolling idxmax
- Redefining the Index in a Pandas DataFrame object
- From password-protected Excel file to pandas DataFrame
- How to filter a pandas dataframe based on the length of a entry
- Group dataframe and get sum AND count?
- Row-wise average for a subset of columns with missing values
- Plot multiple columns of pandas DataFrame using Seaborn
- Python: Removing Rows on Count condition
- Anti-Join Pandas
- How to upload a CSV file in FastAPI and convert it into a Pandas Dataframe?
- DataFrame object has no attribute append