dt.to_string("%Y-%h-%d")) print(out) out = df.select(pl.col("^.*(as|sa).*$")) print(out) out = df.select(pl.col(pl.Int64, pl.UInt32, pl.Boolean).n_unique()) print(out) import polars.selectors as cs out = df.sel
最强Pandas 平替 -- Polars Polars是一个用于操作结构化数据的高性能DataFrame库,可以说是平替pandas最有潜质的包。Polars其核心部分是用Rust编写的,但该库也提供了Python接口。它的主要特点包括: 快速: Polars是从零开始编写的,紧密与机器结合,没有外部依赖。 I/O: 对所有...
fromsqlalchemyimportcreate_engineimportpolarsaspl query ="SELECT * FROM user_to_role"engine = create_engine("mysql+pymysql://")# 这里我们将 user_id 改成了字符串,当然我们改成字符串反而是不对的,这里只是演示这个功能df = pl.read_database(query, engine, schema_overrides={"user_id": pl.Str...
pl.col("integers").cast(pl.Int16).alias("integers_smallfootprint"), pl.col("floats").cast(pl.Float32).alias("floats_smallfootprint"), ) print(out) df = pl.DataFrame( { "integers": [1, 2, 3, 4, 5], "float": [4.0, 5.03, 6.0, 7.0, 8.0], "floats_as_string": ["4.0",...
("*"))# Is equivalent to out = df.select(pl.all()) print(out) out = df.select(pl.col("*").exclude("logged_at", "rn")) print(out) out = df.select(pl.col("date", "logged_at").dt.to_string("%Y-%h-%d")) print(out) out = df.select(pl.col("^.*(as|sa).*$")) ...
out = df.select(pl.col('date', 'logged_at').dt.to_string('%Y-%h-%d'))print(out)out = df.select(pl.col('^.*(as|sa).*$'))print(out)out = df.select(pl.col(pl.Int64, pl.UInt32, pl.Boolean).n_unique())print(out)import polars.selectors as csout = df.select(cs.numeric(...
("*")) # Is equivalent to out = df.select(pl.all()) print(out) out = df.select(pl.col("*").exclude("logged_at", "rn")) print(out) out = df.select(pl.col("date", "logged_at").dt.to_string("%Y-%h-%d")) print(out) out = df.select(pl.col("^.*(as|sa).*$"))...
.with_columns(pl.col('Discount_rate').map_elements(lambda x:'100:10' if re.search(r'0.\d+',x) else x,return_dtype=pl.String)) .with_columns(pl.col('Discount_rate').str.split(':').list.eval(pl.element().cast(pl.Int16, strict=False))) ...
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\Local\Programs\Python\Python312\Lib\site-packages\deltalake\table.py", line 1838, in execute metrics = self._table.merge_execute(self._builder) ^^^ _internal.DeltaError: Generic DeltaTable error: Unable to convert expression to string Issue description the error is self-speaking. Also, I...