pd.DataFrame.astype

pandas.DataFrame.astype(dtype, copy=True, errors='raise')

Supported Arguments

• dtype: dict of string column names keys, and Strings/types values. String (string must be parsable by np.dtype), Valid type (see types), The following functions: float, int, bool, str

  • Must be constant at Compile Time

• copy: boolean

Example Usage

>>> @bodo.jit
... def f():
...   df = pd.DataFrame({"A": [1,2,3], "B": [3.1,4.2,5.3]})
...   return df.astype({"A": float, "B": "datetime64[ns]"})
>>> f()
     A                             B
0  1.0 1970-01-01 00:00:00.000000003
1  2.0 1970-01-01 00:00:00.000000004
2  3.0 1970-01-01 00:00:00.000000005