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_homogeneous_type WeightedSeries Whether the object has a single dtype. By definition, Series and Index are always considered homogeneous. …
_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.
array WeightedSeries The ExtensionArray of the data backing this Series or Index.
asobject WeightedSeries Return object Series which contains boxed values.
at WeightedSeries Access a single value for a row/column label pair. Similar to loc, in that both provide label-based lookups. Use …
average ExecutionStat average processing time
axes WeightedSeries Return a list of the row axis labels.
base WeightedSeries Return the base object if the memory of the underlying data is shared.
blocks WeightedSeries Internal property, property synonym for as_blocks().
daemon KThread A boolean value indicating whether this thread is a daemon thread. This must be set before start() is called, otherwise …
data WeightedSeries Return the data pointer of the underlying data.
deviation ExecutionStat standard deviation
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  
flags WeightedSeries Return the ndarray.flags for the underlying data.
ftype WeightedSeries Return if the data is sparse|dense.
ftypes WeightedSeries Return if the data is sparse|dense.
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 (from …
imag WeightedSeries Return imag value of vector.
is_copy WeightedSeries Return the copy.
is_monotonic WeightedSeries Return boolean if values in the object are monotonic_increasing.
is_monotonic_decreasing WeightedSeries Return boolean if values in the object are monotonic_decreasing.
is_monotonic_increasing WeightedSeries Return boolean if values in the object are monotonic_increasing.
is_unique WeightedSeries Return boolean if values in the object are unique. Returns ——- is_unique : boolean
itemsize WeightedSeries Return the size of the dtype of the item of the underlying data.
itemsize WeightedSeriesDtype The element size of this data-type object.
ix WeightedSeries A primarily label-location based indexer, with integer position fallback. Warning: Starting in 0.20.0, the .ix …
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 also …
max_exec ExecutionStat maximum execution time
min_exec ExecutionStat minimum execution time
name WeightedSeries Return name of the Series.
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 …
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.
real WeightedSeries Return the real value of vector.
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 WeightedSeries Return the number of elements in the underlying data.
strides WeightedSeries Return the strides of 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