Analysis in Python using Pandas Dec 30, 2022 using pandas, NumPy, and seaborn libraries. In this article, we will play around with bank-nifty data and generate a heatmap of monthly returns. The first step one needs to follow is understanding the type of data they are dealing with.

4m read timeFrom medium.com
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Analysis in Python using PandasLoading and Reading the DatasetHandling the Date ColumnDrop/Delete the non-relevant columnsCreating a list for main code iterationCreating a new empty dataframe and main logicPivoting the intermediate resultGenerating Heatmap

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