Re: conver panda image column to spark dataframe

pp4 has one row, I'm guessing - containing an array of 10 images. You want 10 rows of 1 image each. But, just don't do this. Pass the bytes of the image as an array, along with width/height/channels, and reshape it on use. It's just easier. That is how the Spark image representation works anyway

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Re: conver panda image column to spark dataframe

Hello Adrian,    here is the snippet import tensorflow_datasets as tfds (ds_train, ds_test), ds_info = tfds.load(     dataset_name, data_dir='',  split=["train", "test"], with_info=True, as_supervised=True ) schema = StructType([     StructField("image",

Re: Interested in contributing to SPARK-24815

Formally, an ICLA is required, and you can read more here: https://www.apache.org/licenses/contributor-agreements.html In practice, it's unrealistic to collect and verify an ICLA for every PR contributed by 1000s of people. We have not gated on that. But, contributions are in all cases governed

Re: Interested in contributing to SPARK-24815

(Adding my manager Eugene Kim who will cover me as I plan to be out of the office soon) Hi Kent and Sean, Nice to meet you. I am working on the OSS legal aspects with Pavan who is planning to make the contribution request to the Spark project. I saw that Sean mentioned in his email that the

Re: conver panda image column to spark dataframe

Hello, can you also please show us how you created the pandas dataframe? I mean, how you added the actual data into the dataframe. It would help us for reproducing the error. Thank you, Pop-Tifrea Adrian On Mon, Jul 31, 2023 at 5:03 AM second_co...@yahoo.com < second_co...@yahoo.com> wrote: >

Custom Session Windowing in Spark using Scala/Python

Hi, I am new to Spark and looking for help regarding the session windowing in Spark. I want to create session windows on a user activity stream with a gap duration of `x` minutes and also have