We Are Going To Discuss About Using pd.concat instead of df.append with pandas 1.4. So lets Start this Python Article.
Using pd.concat instead of df.append with pandas 1.4
- How to solve Using pd.concat instead of df.append with pandas 1.4
Use
pd.concatlike this. Convert your inner command todfusingSeries.to_frameand then transpose it usingdf.T:In [74]: pd.concat([table, table.iloc[-1].pct_change(periods=1, fill_method=None).fillna('').apply(lambda x: '{:.1%}'.format(x) if x else '').to_frame().T]) Out[74]: C large small All A B bar one 4 5 9 two 7 6 13 foo one 4 1 5 two 0 6 6 All 15 18 33 20.0% 83.3% - Using pd.concat instead of df.append with pandas 1.4
Use
pd.concatlike this. Convert your inner command todfusingSeries.to_frameand then transpose it usingdf.T:In [74]: pd.concat([table, table.iloc[-1].pct_change(periods=1, fill_method=None).fillna('').apply(lambda x: '{:.1%}'.format(x) if x else '').to_frame().T]) Out[74]: C large small All A B bar one 4 5 9 two 7 6 13 foo one 4 1 5 two 0 6 6 All 15 18 33 20.0% 83.3%
Solution 1
Use pd.concat like this. Convert your inner command to df using Series.to_frame and then transpose it using df.T:
In [74]: pd.concat([table, table.iloc[-1].pct_change(periods=1, fill_method=None).fillna('').apply(lambda x: '{:.1%}'.format(x) if x else '').to_frame().T])
Out[74]:
C large small All
A B
bar one 4 5 9
two 7 6 13
foo one 4 1 5
two 0 6 6
All 15 18 33
20.0% 83.3%
Original Author Mayank Porwal Of This Content
Conclusion
So This is all About This Tutorial. Hope This Tutorial Helped You. Thank You.
