pd.Series

• pandas.Series(data=None, index=None, dtype=None, name=None, copy=False, fastpath=False)

Supported Arguments

argument	datatypes	other requirements
data	Series type List type Array type Constant Dictionary None
index	SeriesType
dtype	Numpy or Pandas Type String name for Numpy/Pandas Type	Must be constant at Compile Time String/Data Type must be one of the supported types (see Series.astype())
name	String

Note

If data is a Series and index is provided, implicit alignment is not performed yet.

Example Usage

>>> @bodo.jit
... def f():
...     return pd.Series(np.arange(1000), dtype=np.float64, name="my_series")
>>> f()
0        0.0
1        1.0
2        2.0
3        3.0
4        4.0
      ...
995    995.0
996    996.0
997    997.0
998    998.0
999    999.0
Name: my_series, Length: 1000, dtype: float64

Attributes