This section of the cookbook might help: https://arrow.apache.org/cookbook/py/data.html#filtering-arrays-using-a-mask
Also these methods in the compute module. https://arrow.apache.org/docs/python/api/compute.html#selecting-multiplexing https://arrow.apache.org/docs/python/api/compute.html#selections Not at my computer, so apologies for not giving a direct example. I think coalesce might be the method you need. On Mon, Jul 4, 2022 at 12:44 PM H G <[email protected]> wrote: > iloc equivalent for selection by position and setting values? > > import pyarrow as pa > import pandas as pd > df = pd.DataFrame({'year': [2020, 2022, 2019, 2021], > 'n_legs': [2, 4, 5, 100], > 'animals': ["Flamingo", "Horse", "Brittle stars", > None]}) > table = pa.Table.from_pandas(df) > > df.loc[df["animals"].isnull(), "animals"] = "new_value" # how do we > perform this in pyarrow? > > I did open this on github, but I assume it is not the forum for queries. > > Thanks > -- Michael
