Web Reference: Feb 2, 2022 · I have a use case where I am reading some data from an API call, but need to transform the data before inserting it into a database. The data comes in a integer format, and I need to save it as a string. Jul 5, 2023 · Before you expand, you can get the column types by using the Table.Schema () command and save them. That information can then be used to "paste" the correct column types back on the columns after they are expanded. Jul 23, 2025 · convert_dtypes () is a pandas function introduced in version 1.1.4 that allows automatic conversion of DataFrame and Series columns to the most appropriate data types.
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Expand columns dynamically in Power Query (THE RIGHT WAY!) | Excel Off The Grid
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Dynamically Change Data Type of Multiple Columns using Power Query
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Transform Data Types in Power BI Dynamically for Source Tables
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Define Dynamic Data Types in Power Query
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How to Merge Excel Files with Different Headers in Power Query | List.Accumulate
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Power Query Parameters - Dynamically Change the Output of Your Queries Depending on Their Value
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Change the Power Query source based on a cell value | Data refresh automation | Excel Off The Grid
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Dynamically Transform all Columns of a Table in Power Query (2 Methods)
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How to Dynamically Change the Data Type of All Columns in Power BI Using Power Query Efficiently

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