pandas.Series

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

One-dimensional ndarray with axis labels (including time series).

Labels need not be unique but must be any hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Statistical methods from ndarray have been overridden to automatically exclude missing data (currently represented as NaN)

Operations between Series (+, -, /, , *) align values based on their associated index values– they need not be the same length. The result index will be the sorted union of the two indexes.

Parameters:

data : array-like, dict, or scalar value

Contains data stored in Series

index : array-like or Index (1d)

Values must be unique and hashable, same length as data. Index object (or other iterable of same length as data) Will default to np.arange(len(data)) if not provided. If both a dict and index sequence are used, the index will override the keys found in the dict.

dtype : numpy.dtype or None

If None, dtype will be inferred

copy : boolean, default False

Copy input data

Attributes

T	return the transpose, which is by definition self
at	Fast label-based scalar accessor
axes	Return a list of the row axis labels
base	return the base object if the memory of the underlying data is shared
blocks	Internal property, property synonym for as_blocks()
data	return the data pointer of the underlying data
dtype	return the dtype object of the underlying data
dtypes	return the dtype object of the underlying data
empty	True if NDFrame is entirely empty [no items]
flags
ftype	return if the data is sparse|dense
ftypes	return if the data is sparse|dense
hasnans
iat	Fast integer location scalar accessor.
iloc	Purely integer-location based indexing for selection by position.
imag
is_copy
is_time_series
itemsize	return the size of the dtype of the item of the underlying data
ix	A primarily label-location based indexer, with integer position fallback.
loc	Purely label-location based indexer for selection by label.
nbytes	return the number of bytes in the underlying data
ndim	return the number of dimensions of the underlying data, by definition 1
real
shape	return a tuple of the shape of the underlying data
size	return the number of elements in the underlying data
strides	return the strides of the underlying data
values	Return Series as ndarray or ndarray-like

Methods