out= df.select(pl.all()) print(out) out= df.select(pl.col("*").exclude(
out = df.select(pl.col(pl.Int64, pl.UInt32, pl.Boolean).n_unique()) print(out) import polars.selectors as cs out = df.select(cs.numeric() - cs.first()) print(out) out = df.select(cs.contains("rn"), cs.matches(".*_.*")) print(out) Functions df = pl.DataFrame( { "nrs...
out = df.select(pl.col(pl.Int64, pl.UInt32, pl.Boolean).n_unique())print(out)import polars.selectors as csout = df.select(cs.numeric() - cs.first())print(out)out = df.select(cs.contains('rn'), cs.matches('.*_.*'))print(out) Functions df = pl.DataFrame( { 'nrs': [1,...
out = df.select(pl.col("^.*(as|sa).*$")) print(out) out = df.select(pl.col(pl.Int64, pl.UInt32, pl.Boolean).n_unique()) print(out) import polars.selectors as cs out = df.select(cs.numeric() - cs.first()) print(out) out = df.select(cs.contains("rn"), cs.matches("...
out = df.select(pl.col(pl.Int64, pl.UInt32, pl.Boolean).n_unique) print(out) import polars.selectors as cs out = df.select(cs.numeric - cs.first) print(out) out = df.select(cs.contains("rn"), cs.matches(".*_.*"))
如果CSV 文件里面的列非常多,但我们只需要其中的几个,那么便可以通过 columns 参数选择指定的列。 importpolarsaspl df1 = pl.read_csv("girl.csv", columns=["name","length"])print(df1)""" shape: (3, 2) ┌─────────┬────────┐ ...
select(pl.col("^.*(as|sa).*$")) print(out) out = df.select(pl.col(pl.Int64, pl.UInt32, pl.Boolean).n_unique()) print(out) import polars.selectors as cs out = df.select(cs.numeric() - cs.first()) print(out) out = df.select(cs.contains("rn"), cs.matches(".*_.*")...
(pl.col("^.*(as|sa).*$")) print(out) out = df.select(pl.col(pl.Int64, pl.UInt32, pl.Boolean).n_unique()) print(out) import polars.selectors as cs out = df.select(cs.numeric() - cs.first()) print(out) out = df.select(cs.contains("rn"), cs.matches(".*_.*")) ...
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comm_subplan_elim,comm_subexpr_elim,cluster_with_columns,no_optimization,streaming,engine,background,_eager,**_kwargs)2025# Only for testing purposes2026callback=_kwargs.get("post_opt_callback",callback)->2027returnwrap_df(ldf.collect(callback))InvalidOperationError:roundcanonlybeusedonnumeric...