How can I split text in a column into multiple rows using Pandas and Python?

Splitting Text in a Column into Multiple Rows

When working with large CSV files, it can be necessary to split text in a specific column into multiple rows. Pandas and Python offer efficient methods to accomplish this task.

Using Pandas

1. Split by Space:

   df['Seatblocks'].str.split(' ').apply(Series, 1).stack()

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   This splits each row in the 'Seatblocks' column by space and creates a new column for each resulting string.

2. Split by Colon:

   df['Seatblocks'].str.split(' ').apply(lambda x: Series(x.split(':')))

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   This further splits each string in the new column by colon, creating multiple columns for each colon-separated string.

Example

Consider this CSV file:

Using the above methods, the 'Seatblocks' column can be split into multiple rows:

Conclusion

By utilizing Pandas' splitting and stacking operations, it is possible to efficiently restructure text data in a column into multiple rows, enabling further analysis and manipulation.

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