import numpy as np然后我有一个Pandas DataFrame,其中有两个列的索引:对于每一对索引,我希望将numpy数组中相应索引的值设置为我的当前解决方案我可以通过向 浏览2提问于2017-07-12得票数 3 回答已采纳 1回答 是否有方法将pl.Series类型的pl.Datetime从一个时区转换为另一个时区? 、、、 我正在用polars读取一...
Also, I don't know if this is useful information but it seems to happen with every data type in the source dataframe (int, float, datetime, etc...) Expected behavior merge operation successfully completed Installed versions ---Version info--- Polars: 1.19.0 Index type: UInt32 Platform: W...
The test failure seems to be because that to_pandas of polars requires pyarrow as well: https://docs.pola.rs/api/python/stable/reference/dataframe/api/polars.DataFrame.to_pandas.html, should we just skip the tests of polars when pyarrow is not installed, or try find a workaround? adrinjal...
nan_to_null=True stops converting nans to nulls after the dataframe grows to a certain size. This did not happen in polars==0.20.10 Expected behavior nan_to_null=True should behave exactly as pl.from_pandas().with_columns(cs.float().fill_nan(None)) Installed versions ---Version info...
Converting to Lance importlanceimportpandasaspdimportpyarrowaspaimportpyarrow.datasetdf=pd.DataFrame({"a": [5],"b": [10]})uri="/tmp/test.parquet"tbl=pa.Table.from_pandas(df)pa.dataset.write_dataset(tbl,uri,format='parquet')parquet=pa.dataset.dataset(uri,format='parquet')lance.write_dataset...
Converting to Lance import lance import pandas as pd import pyarrow as pa import pyarrow.dataset df = pd.DataFrame({"a": [5], "b": [10]}) uri = "/tmp/test.parquet" tbl = pa.Table.from_pandas(df) pa.dataset.write_dataset(tbl, uri, format='parquet') parquet = pa.dataset.dataset...