13. ArrayType Columns in PySpark |

In this video, I discussed about ArrayType column in PySpark.
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[@prasanthiavula766]

Sir great lecture. You are helping us alot with your knowledge.

[@dolla_shrey]

sir , i just noted that what you had taught ,jus works well for schema=['id'..] syntax, where in column containing arrays is of array type, but when a proper schema is being provided , in that case the column type will be of Struct type so in that case df = df.withColumn('col_name', df.col_name[0]) does not works...df = df.withColumn('col_name', df.col_name.nested_col_name) works.

[@harithaSingidi]

Nice work I really like your video... a very good explanation.

[@WafaStudies]

Thank you 😊

[@polakigowtam183]

Thanks Maheer . Good Vedio

[@WafaStudies]

Welcome

[@tarun007]

Nice Video Wafa 🙂

[@WafaStudies]

Thank you 😇

[@MithunKumar-u1w8n]

Please share the ppt u are showing in the videos

[@vutv5742]

Completed

[@dugginenivenkatasubbaiah7547]

Do you know the reason why don't you get more views, likes, and subscribers, only because of your not uploading the videos regularly with a less gap. Please make sure to upload early. Thank u brother.

[@sravankumar1767]

Don't discourage bro, atleast he is trying to explain what he knows. He is a human being he occupied with personal work and a family 👪. Don't discourage anyone

[@DataWithNagar]

Don't think , Whoever uploading videos only want views, He is sharing his knowledge on his pace.