pandera.typing.pyspark.Series

class pandera.typing.pyspark.Series(data=None, index=None, dtype=None, name=None, copy=False, fastpath=False)

Representation of pandas.Series, only used for type annotation.

new in 0.8.0

Attributes

T	Return the transpose, which is self.
at	Access a single value for a row/column label pair.
axes	Return a list of the row axis labels.
default_dtype
dtype	Return the dtype object of the underlying data.
dtypes	Return the dtype object of the underlying data.
empty	Returns true if the current object is empty.
hasnans	Return True if it has any missing values.
iat	Access a single value for a row/column pair by integer position.
iloc	Purely integer-location based indexing for selection by position.
index	The index (axis labels) Column of the Series.
is_monotonic	Return boolean if values in the object are monotonically increasing.
is_monotonic_decreasing	Return boolean if values in the object are monotonically decreasing.
is_monotonic_increasing	Return boolean if values in the object are monotonically increasing.
is_unique	Return boolean if values in the object are unique
loc	Access a group of rows and columns by label(s) or a boolean Series.
name	Return name of the Series.
ndim	Return an int representing the number of array dimensions.
shape	Return a tuple of the shape of the underlying data.
size	Return an int representing the number of elements in this object.
values	Return a Numpy representation of the DataFrame or the Series.

Methods