Properties¶
Summary¶
property |
class parent |
truncated documentation |
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WeightedSeries |
Return the transpose, which is by definition self. |
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WeightedSeries |
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WeightedSeriesDtype |
Can arrays of this dtype hold NA values? |
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WeightedSeries |
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WeightedSeries |
Used when a manipulation result has one higher dimension as the original, such as Series.to_frame() |
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WeightedSeries |
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WeightedArray |
Equivalent to self.isna().any(). Some ExtensionArray subclasses may be able to optimize this check. |
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WeightedSeries |
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WeightedSeriesDtype |
Whether this dtype should be considered boolean. By default, ExtensionDtypes are assumed to be non-numeric. … |
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WeightedSeries |
Return boolean indicating if self is cached or not. |
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WeightedSeries |
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WeightedSeriesDtype |
Whether columns with this dtype should be considered numeric. By default ExtensionDtypes are assumed to be non-numeric. … |
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WeightedSeries |
Return boolean indicating if self is view of another array |
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WeightedSeries |
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WeightedSeries |
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WeightedSeries |
Return the internal repr of this data (defined by Block.interval_values). This are the values as stored in the Block … |
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WeightedSeries |
The ExtensionArray of the data backing this Series or Index. Returns ——- ExtensionArray An ExtensionArray of the … |
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WeightedSeries |
Access a single value for a row/column label pair. Similar to |
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WeightedSeries |
Dictionary of global attributes of this dataset. |
ExecutionStat |
average processing time |
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WeightedSeries |
Return a list of the row axis labels. |
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KThread |
A boolean value indicating whether this thread is a daemon thread. This must be set before start() is called, otherwise … |
ExecutionStat |
standard deviation |
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PyCContainer |
Returns the type of every elements of the container. |
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WeightedArray |
Returns @see cl WeightedSeriesDtype. |
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WeightedSeries |
Return the dtype object of the underlying data. Examples ——– >>> s = pd.Series([1, 2, 3]) … |
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WeightedSeries |
Return the dtype object of the underlying data. Examples ——– >>> s = pd.Series([1, 2, 3]) … |
OneTensor |
Returns the type of every element of the tensor. |
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OneTensor2 |
Returns the type of every element of the tensor. |
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WeightedSeries |
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CEventProfilerEvent |
event kind |
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WeightedSeries |
Get the properties associated with this pandas object. The available flags are |
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WeightedSeries |
Return True if there are any NaNs. Enables various performance speedups. Returns ——- … |
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WeightedSeries |
Access a single value for a row/column pair by integer position. Similar to |
CEventProfilerEvent |
arg id |
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CEventProfilerEvent |
frame id |
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KThread |
Thread identifier of this thread or None if it has not been started. This is a nonzero integer. See the get_ident() … |
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WeightedSeries |
Purely integer-location based indexing for selection by position. |
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WeightedSeries |
Return boolean if values in the object are monotonically decreasing. Returns ——- bool |
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WeightedSeries |
Return boolean if values in the object are monotonically increasing. Returns ——- bool |
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WeightedSeries |
Return boolean if values in the object are unique. Returns ——- bool |
WeightedSeriesDtype |
A character code (one of ‘biufcmMOSUV’), default ‘O’ This should match the NumPy dtype used when the array is … |
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WeightedSeries |
Access a group of rows and columns by label(s) or a boolean array. |
ExecutionStat |
maximum execution time |
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ExecutionStat |
minimum execution time |
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EventProfiler |
Returns the number of stored informations by the profiler in memory. This corresponds to the number of columns returned … |
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EventProfilerDebug |
Returns the number of stored informations by the profiler in memory. This corresponds to the number of columns returned … |
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WeightedSeriesDtype |
Default NA value to use for this type. This is used in e.g. ExtensionArray.take. This should be the user-facing … |
ContainerType |
name(self: handle) -> str |
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WeightedArray |
A string identifying the data type. Will be used for display in, e.g. |
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WeightedSeries |
Return the name of the Series. The name of a Series becomes its index or column name if it is used to form … |
WeightedSeriesDtype |
A string identifying the data type. Will be used for display in, e.g. |
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KThread |
A string used for identification purposes only. It has no semantics. Multiple threads may be given the same name. … |
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WeightedSeriesDtype |
Ordered list of field names, or None if there are no fields. This is for compatibility with NumPy arrays, and may … |
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KThread |
Native integral thread ID of this thread, or None if it has not been started. This is a non-negative integer. … |
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WeightedSeries |
Return the number of bytes in the underlying data. |
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WeightedSeries |
Number of dimensions of the underlying data, by definition 1. |
ExecutionStat |
number of executions being measured |
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ExecutionStat |
number of times the experiment is repeated |
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WithEventProfiler |
Returns the profiling report as a dataframe. |
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OneTensor |
Returns the tensor shape. |
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OneTensor2 |
Returns the tensor shape. |
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WeightedSeries |
Return a tuple of the shape of the underlying data. Examples ——– >>> s = pd.Series([1, 2, … |
PyCContainer |
Returns the size in bytes of the container. |
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WeightedSeries |
Return the number of elements in the underlying data. |
CEventProfilerEvent |
time |
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WeightedSeriesDtype |
The scalar type for the array, e.g. |
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ContainerType |
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WeightedDoubleAccessor |
Returns the values. |
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WeightedDouble |
unweighted numeric value (counter) |
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WeightedFloat |
unweighted numeric value (counter) |
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CEventProfilerEvent |
first value |
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CEventProfilerEvent |
second value |
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WeightedSeries |
Return Series as ndarray or ndarray-like depending on the dtype. |
OneTensor |
Returns the version. |
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OneTensor2 |
Returns the version. |
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WeightedDoubleAccessor |
Returns the weights. |
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WeightedDouble |
weight |
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WeightedFloat |
weight |