iter_polars¶
Iterates over the rows of a polars.DataFrame
.
Parameters¶
-
X
Type → pl.DataFrame
A dataframe of features.
-
y
Type → pl.Series | pl.DataFrame | None
Default →
None
A series or a dataframe with one column per target.
-
kwargs
Extra keyword arguments are passed to the underlying call to
stream.iter_array
.
Examples¶
import polars as pl
from river import stream
X = pl.DataFrame({
'x1': [1, 2, 3, 4],
'x2': ['blue', 'yellow', 'yellow', 'blue'],
'y': [True, False, False, True]
})
y = X.get_column('y')
X=X.drop("y")
for xi, yi in stream.iter_polars(X, y):
print(xi, yi)
{'x1': 1, 'x2': 'blue'} True
{'x1': 2, 'x2': 'yellow'} False
{'x1': 3, 'x2': 'yellow'} False
{'x1': 4, 'x2': 'blue'} True