Properties

Summary

property

class parent

truncated documentation

T

WeightedSeries

Return the transpose, which is by definition self.

_can_hold_na

WeightedSeries

_can_hold_na

WeightedSeriesDtype

Can arrays of this dtype hold NA values?

_constructor

WeightedSeries

_constructor_expanddim

WeightedSeries

Used when a manipulation result has one higher dimension as the original, such as Series.to_frame()

_data

WeightedSeries

_hasna

WeightedArray

Equivalent to self.isna().any(). Some ExtensionArray subclasses may be able to optimize this check.

_info_axis

WeightedSeries

_is_boolean

WeightedSeriesDtype

Whether this dtype should be considered boolean. By default, ExtensionDtypes are assumed to be non-numeric. …

_is_cached

WeightedSeries

Return boolean indicating if self is cached or not.

_is_mixed_type

WeightedSeries

_is_numeric

WeightedSeriesDtype

Whether columns with this dtype should be considered numeric. By default ExtensionDtypes are assumed to be non-numeric. …

_is_view

WeightedSeries

Return boolean indicating if self is view of another array

_references

WeightedSeries

_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. Returns ——- ExtensionArray An ExtensionArray of the …

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 of this dataset.

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. Examples ——– >>> s = pd.Series([1, 2, 3]) …

dtypes

WeightedSeries

Return the dtype object of the underlying data. Examples ——– >>> s = pd.Series([1, 2, 3]) …

element_type

OneTensor

Returns the type of every element of the tensor.

element_type

OneTensor2

Returns the type of every element of the tensor.

empty

WeightedSeries

event

CEventProfilerEvent

event kind

flags

WeightedSeries

Get the properties associated with this pandas object. The available flags are

hasnans

WeightedSeries

Return True if there are any NaNs. Enables various performance speedups. Returns ——- …

iat

WeightedSeries

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

id_arg

CEventProfilerEvent

arg id

id_frame

CEventProfilerEvent

frame id

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_decreasing

WeightedSeries

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

is_monotonic_increasing

WeightedSeries

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

is_unique

WeightedSeries

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

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

n_columns

EventProfiler

Returns the number of stored informations by the profiler in memory. This corresponds to the number of columns returned …

n_columns

EventProfilerDebug

Returns the number of stored informations by the profiler in memory. This corresponds to the number of columns returned …

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

name(self: handle) -> str

name

WeightedArray

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

name

WeightedSeries

Return the name of the Series. The name of a Series becomes its index or column name if it is used to form …

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

WeightedSeries

Return the number of bytes in the underlying data.

ndim

WeightedSeries

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

number

ExecutionStat

number of executions being measured

repeat

ExecutionStat

number of times the experiment is repeated

report

WithEventProfiler

Returns the profiling report as a dataframe.

shape

OneTensor

Returns the tensor shape.

shape

OneTensor2

Returns the tensor shape.

shape

WeightedSeries

Return a tuple of the shape of the underlying data. Examples ——– >>> s = pd.Series([1, 2, …

size

PyCContainer

Returns the size in bytes of the container.

size

WeightedSeries

Return the number of elements in the underlying data.

time

CEventProfilerEvent

time

type

WeightedSeriesDtype

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

value

ContainerType

value

WeightedDoubleAccessor

Returns the values.

value

WeightedDouble

unweighted numeric value (counter)

value

WeightedFloat

unweighted numeric value (counter)

value1

CEventProfilerEvent

first value

value2

CEventProfilerEvent

second value

values

WeightedSeries

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

version

OneTensor

Returns the version.

version

OneTensor2

Returns the version.

weight

WeightedDoubleAccessor

Returns the weights.

weight

WeightedDouble

weight

weight

WeightedFloat

weight