Properties

Summary

property

class parent

truncated documentation

T

WeightedSeries

Return the transpose, which is by definition self.

_can_hold_na

WeightedSeries

_constructor

WeightedSeries

_constructor_expanddim

WeightedSeries

_constructor_sliced

WeightedSeries

Used when a manipulation result has one lower dimension(s) as the original, such as DataFrame single columns slicing. …

_info_axis

WeightedSeries

_is_boolean

WeightedSeriesDtype

_is_cached

WeightedSeries

Return boolean indicating if self is cached or not.

_is_datelike_mixed_type

WeightedSeries

_is_mixed_type

WeightedSeries

_is_numeric

WeightedSeriesDtype

_is_numeric_mixed_type

WeightedSeries

_is_view

WeightedSeries

Return boolean indicating if self is view of another array

_ndarray_values

WeightedArray

Internal pandas method for lossy conversion to a NumPy ndarray. This method is not part of the pandas interface. …

_ndarray_values

WeightedSeries

The data as an ndarray, possibly losing information. The expectation is that this is cheap to compute, and is primarily …

_obj_with_exclusions

WeightedSeries

internal compat with SelectionMixin

_selected_obj

WeightedSeries

internal compat with SelectionMixin

_selection_list

WeightedSeries

_selection_name

WeightedSeries

return a name for myself; this would ideally be called the ‘name’ property, but we cannot conflict with the …

_stat_axis

WeightedSeries

_values

WeightedSeries

Return the internal repr of this data (defined by Block.interval_values). This are the values as stored in the Block …

array

WeightedSeries

The ExtensionArray of the data backing this Series or Index.

at

WeightedSeries

Access a single value for a row/column label pair. Similar to loc, in that both provide label-based lookups. …

attrs

WeightedSeries

Dictionary of global attributes on this object.

average

ExecutionStat

average processing time

axes

WeightedSeries

Return a list of the row axis labels.

daemon

KThread

A boolean value indicating whether this thread is a daemon thread. This must be set before start() is called, otherwise …

deviation

ExecutionStat

standard deviation

dtype

PyCContainer

Returns the type of every elements of the container.

dtype

WeightedArray

Returns @see cl WeightedSeriesDtype.

dtype

WeightedSeries

Return the dtype object of the underlying data.

dtypes

WeightedSeries

Return the dtype object of the underlying data.

empty

WeightedSeries

hasnans

WeightedSeries

Return if I have any nans; enables various perf speedups.

iat

WeightedSeries

Access a single value for a row/column pair by integer position. Similar to iloc, in that both provide integer-based …

ident

KThread

Thread identifier of this thread or None if it has not been started. This is a nonzero integer. See the get_ident() …

iloc

WeightedSeries

Purely integer-location based indexing for selection by position. .iloc[] is primarily integer position based …

is_monotonic

WeightedSeries

Return boolean if values in the object are monotonic_increasing. Returns ——- bool

is_monotonic_decreasing

WeightedSeries

Return boolean if values in the object are monotonic_decreasing. Returns ——- bool

is_monotonic_increasing

WeightedSeries

Return boolean if values in the object are monotonic_increasing. Returns ——- bool

is_unique

WeightedSeries

Return boolean if values in the object are unique. Returns ——- bool

itemsize

WeightedSeriesDtype

The element size of this data-type object.

kind

WeightedSeriesDtype

A character code (one of ‘biufcmMOSUV’), default ‘O’ This should match the NumPy dtype used when the array is …

loc

WeightedSeries

Access a group of rows and columns by label(s) or a boolean array. .loc[] is primarily label based, but may …

max_exec

ExecutionStat

maximum execution time

min_exec

ExecutionStat

minimum execution time

na_value

WeightedSeriesDtype

Default NA value to use for this type. This is used in e.g. ExtensionArray.take. This should be the user-facing …

name

ContainerType

(self: handle) -> str

name

WeightedSeries

name

WeightedSeriesDtype

A string identifying the data type. Will be used for display in, e.g. Series.dtype

name

KThread

A string used for identification purposes only. It has no semantics. Multiple threads may be given the same name. …

names

WeightedSeriesDtype

Ordered list of field names, or None if there are no fields. This is for compatibility with NumPy arrays, and may …

native_id

KThread

Native integral thread ID of this thread, or None if it has not been started. This is a non-negative integer. …

nbytes

WeightedArray

nbytes

WeightedSeries

Return the number of bytes in the underlying data.

ndim

WeightedArray

Extension Arrays are only allowed to be 1-dimensional.

ndim

WeightedSeries

Number of dimensions of the underlying data, by definition 1.

number

ExecutionStat

number of executions being measured

numpy_dtype

WeightedSeriesDtype

The NumPy dtype this PandasDtype wraps.

repeat

ExecutionStat

number of times the experiment is repeated

shape

WeightedArray

Return a tuple of the array dimensions.

shape

WeightedSeries

Return a tuple of the shape of the underlying data.

size

PyCContainer

Returns the size in bytes of the container.

size

WeightedArray

The number of elements in the array.

size

WeightedSeries

Return the number of elements in the underlying data.

type

WeightedSeriesDtype

The scalar type for the array, e.g. int It’s expected ExtensionArray[item] returns an instance of …

value

WeightedDoubleAccessor

Returns the values.

value

WeightedDouble

unweighted numeric value (counter)

value

WeightedFloat

unweighted numeric value (counter)

values

WeightedSeries

Return Series as ndarray or ndarray-like depending on the dtype.

weight

WeightedDoubleAccessor

Returns the weights.

weight

WeightedDouble

weight

weight

WeightedFloat

weight