PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance

We Are Going To Discuss About PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. So lets Start this Python Article.

PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance

  1. PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance

    append is not an efficient method for this operation. concat is more appropriate in this situation.
    Replace
    df1 = df1.append(df, ignore_index =True)
    with
    pd.concat((df1,df),axis=0)
    Details about the differences are in this question: Pandas DataFrame concat vs append

  2. PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance

    append is not an efficient method for this operation. concat is more appropriate in this situation.
    Replace
    df1 = df1.append(df, ignore_index =True)
    with
    pd.concat((df1,df),axis=0)
    Details about the differences are in this question: Pandas DataFrame concat vs append

Solution 1

append is not an efficient method for this operation. concat is more appropriate in this situation.

Replace

df1 = df1.append(df, ignore_index =True)

with

 pd.concat((df1,df),axis=0)

Details about the differences are in this question: Pandas DataFrame concat vs append

Original Author Polkaguy6000 Of This Content

Solution 2

This is a problem with recent update. Check this issue from pandas-dev. It seems to be resolved in pandas version 1.3.1 (reference PR).

Original Author bruno-uy Of This Content

Conclusion

So This is all About This Tutorial. Hope This Tutorial Helped You. Thank You.

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