10. withColumn() in PySpark | Add new column or Change existing column data or type in DataFrame

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In this video, I discussed about how to add new column or change data or data type of existing column using withColumn() function in PySpark.

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Комментарии
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@wafastudies

Thanks for this video.
So basically we can use Struct_type when we want to change/mention the datatype and with_column can be used to update/change/create new columns or values. Right?

sumanthb
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Does every additional df consume as much memory as the previous datsftame or is the memory based on the pointer arithmetic of the net effect of the overall columns?

NeumsFor
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thank you so much for all this video thanks for knowledge you don't mind pls share saucers code (data bricks notebook) with us .

DIVYARAJURKAR-kgfu
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Thank you so much sir valued information. I have one query could you please help on the same? How to rename the existing column name?

vadderamu
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How to change if we have to do datatype change for multiple columns with same data frame, I could not able to find

chittaranjanpradhan
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Hello Maheer, can we clear databricks spark certification with your playlist?

abhishekjoshi
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If I am doing this it shows updated data at the time of df. show() but whenever we are checking db compass it shows that it is not updating. I tried to update it through overwrite then it deleted the table but not create a new one.Please help here.

ektashah
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Py4JJavaError - Whenever a show() is used it shows Py$JJavaError. Please help

hnixzzi
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if at index 1 i need to keep 'India; and at index 2 i need to keep 'USA'. How to do that ?

avirajankitjain
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Good One Maheer . You voice seems to be not ok . Take Care Man !

starmscloud