Setting DataFrame Columns¶
Bodo DataFrames support setting columns lazily when the value is a Series created from the same DataFrame or a constant value. Other cases will fallback to Pandas.
Examples
import bodo.pandas as bd
bdf = bd.DataFrame(
{
"A": bd.array([1, 2, 3, 7] * 3, "Int64"),
"B": ["A1", "B1 ", "C1", "Abc"] * 3,
"C": bd.array([4, 5, 6, -1] * 3, "Int64"),
}
)
bdf["D"] = bdf["B"].str.lower()
print(type(bdf))
print(bdf.D)
Output:
<class 'bodo.pandas.frame.BodoDataFrame'>
0 a1
1 b1
2 c1
3 abc
4 a1
5 b1
6 c1
7 abc
8 a1
9 b1
10 c1
11 abc
Name: D, dtype: string
import bodo.pandas as bd
bdf = bd.DataFrame(
{
"A": bd.array([1, 2, 3, 7] * 3, "Int64"),
"B": ["A1", "B1 ", "C1", "Abc"] * 3,
"C": bd.array([4, 5, 6, -1] * 3, "Int64"),
}
)
bdf["D"] = 11
print(type(bdf))
print(bdf.D)
Output:
<class 'bodo.pandas.frame.BodoDataFrame'>
0 11
1 11
2 11
3 11
4 11
5 11
6 11
7 11
8 11
9 11
10 11
11 11
Name: D, dtype: int64[pyarrow]