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Tips and Tricks for Working with Strings in Polars
WebJan 16, 2024 · import polars as pl df = pl.DataFrame ( { "Case": ["case1", "case1"], "List": [ ["x1", "x2"], ["x3", "x4"]], }) .groupby ("Case").agg ( [pl.col ("List")]) .select (pl.col ("List").flatten ()) print (df) gives: shape: (2, 1) ┌──────────────┐ │ List │ │ --- │ │ list [str] │ ╞══════════════╡ │ ["x1", "x2"] │ │ ["x3", "x4"] │ … WebJan 18, 2024 · One of the big advantages of Arrow is that it supports a variety of nested data types (or “dtypes”). In this post we look at the pl.List dtype in more detail: we start with an overview of the pl.List dtype we … dude where\u0027s my donkey full movie
How do I pair my Polar Unite with the Polar Flow app?
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