pyarrow.interchange.from_dataframe¶

pyarrow.interchange.from_dataframe(df: Any, allow_copy=True) → Table[source]¶

Build a pa.Table from any DataFrame supporting the interchange protocol.

Parameters:

dfDataFrameObject: Object supporting the interchange protocol, i.e. __dataframe__ method.
allow_copybool, default: True: Whether to allow copying the memory to perform the conversion (if false then zero-copy approach is requested).

Returns:

pa.Table

Examples

>>> import pyarrow
>>> from pyarrow.interchange import from_dataframe

Convert a pandas dataframe to a pyarrow table:

>>> import pandas as pd
>>> df = pd.DataFrame({
...         "n_atendees": [100, 10, 1],
...         "country": ["Italy", "Spain", "Slovenia"],
...     })
>>> df
   n_atendees   country
0         100     Italy
1          10     Spain
2           1  Slovenia
>>> from_dataframe(df)
pyarrow.Table
n_atendees: int64
country: large_string
----
n_atendees: [[100,10,1]]
country: [["Italy","Spain","Slovenia"]]

pyarrow.RecordBatchReader

pyarrow.Tensor