I have three classes and I want to find the mean age of male for each class. The below given code is working but if I want to find the mean value of many classes, how can I ...
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I’m trying to load the excel file to the dataframe. In that few columns have the dates in integer form. I used the below code and it worked, df = df.select(col('Date_Column'), expr(
Instead of loading the complete collection and then adding pyspark filters, I want to query the mongo db using a find operation. Is there a method for doing this?
I have a large weather report file in csv format. On reading this csv file I want some of the lines to skip at the beginning. "Daily Weather Reports..." "Prepared..." ,"Date",
I have a dataframe as given below, I want to display only the rows with highest values on comparing with its duplicate city. City ID Value Denmark 1 11 Amsterdam
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In pandas it is easy to implement those features. Is it possible to compute expanding window features (such mean, standard deviation, etc.) in polars?
In tiny projects, I use python3 -m venv to build virtual environments and pip to install packages. I don’t want to uninstall the venv and reinstall all of its dependencies every time. I’m wondering whether there is a ...
I want to sort the records of the ‘n’ number of days using date in mongo DB. How do I convert the date which is in string format to values format?
Is there a way to install TensorFlow 1.x through pip and set up your environment in a similar form to what the old TensorFlow version 1.x did since Google Colab does not support it? I really don’t want ...
Since shape[0] gives you the number of rows and shape[1] indicates you the number of columns. The array which I declared has only one row, it returns [No.of columns,]. And shape[1] will be out of index. In this ...