538 lines
80 KiB
Plaintext
538 lines
80 KiB
Plaintext
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” „ p ¨ P > ¸ ¶ Î â ü 2 F Z h x ^ * î Ö ÈPyUnicode_InternFromString ©PyImport_ImportModule Å PyErr_Occurred þ PyEval_SaveThread 3PyExc_RuntimeError &PyExc_MemoryError N_Py_NoneStruct « PyDict_Size à PyErr_SetString EPyExc_ValueError » PyErr_Format aPyType_IsSubtype _Py_Dealloc : PyCapsule_GetPointer PyModule_Create2 ŒPyObject_GetAttrString Ÿ PyDict_GetItem =PyExc_TypeError B PyCapsule_Type 6 PyCallable_Check PyExc_ImportError Æ PyErr_Print kPyObject_Call ý PyEval_RestoreThread python312.dll ßRtlCaptureContext çRtlLookupFunctionEntry îRtlVirtualUnwind ÎUnhandledExceptionFilter �SetUnhandledExceptionFilter !GetCurrentProcess ¬TerminateProcess •IsProcessorFeaturePresent [QueryPerformanceCounter "GetCurrentProcessId &GetCurrentThreadId øGetSystemTimeAsFileTime %DisableThreadLibraryCalls xInitializeSListHead ŽIsDebuggerPresent KERNEL32.dll __C_specific_handler % __std_type_info_destroy_list > memset VCRUNTIME140.dll free malloc 6 _initterm 7 _initterm_e ? _seh_filter_dll _configure_narrow_argv 3 _initialize_narrow_environment 4 _initialize_onexit_table " _execute_onexit_table _cexit api-ms-win-crt-heap-l1-1-0.dll api-ms-win-crt-runtime-l1-1-0.dll | ceil sqrt api-ms-win-crt-math-l1-1-0.dll Í] ÒfÔÿÿ2¢ß-™+ ÿÿÿÿ / move_mean(a, window, min_count=None, axis=-1)
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Moving window mean along the specified axis, optionally ignoring NaNs.
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This function cannot handle input arrays that contain Inf. When the
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window contains Inf, the output will correctly be Inf. However, when Inf
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moves out of the window, the remaining output values in the slice will
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incorrectly be NaN.
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Parameters
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----------
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a : ndarray
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Input array. If `a` is not an array, a conversion is attempted.
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window : int
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The number of elements in the moving window.
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min_count: {int, None}, optional
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If the number of non-NaN values in a window is less than `min_count`,
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then a value of NaN is assigned to the window. By default `min_count`
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is None, which is equivalent to setting `min_count` equal to `window`.
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axis : int, optional
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The axis over which the window is moved. By default the last axis
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(axis=-1) is used. An axis of None is not allowed.
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Returns
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-------
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y : ndarray
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The moving mean of the input array along the specified axis. The output
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has the same shape as the input.
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Examples
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--------
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>>> a = np.array([1.0, 2.0, 3.0, np.nan, 5.0])
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>>> bn.move_mean(a, window=2)
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array([ nan, 1.5, 2.5, nan, nan])
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>>> bn.move_mean(a, window=2, min_count=1)
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array([ 1. , 1.5, 2.5, 3. , 5. ])
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Bottleneck moving window functions. move_argmax(a, window, min_count=None, axis=-1)
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Moving window index of maximum along the specified axis, optionally
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ignoring NaNs.
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Index 0 is at the rightmost edge of the window. For example, if the array
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is monotonically increasing (decreasing) along the specified axis then
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the output array will contain zeros (window-1).
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If there is a tie in input values within a window, then the rightmost
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index is returned.
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float64 output is returned for all input data types.
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Parameters
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----------
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a : ndarray
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Input array. If `a` is not an array, a conversion is attempted.
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window : int
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The number of elements in the moving window.
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min_count: {int, None}, optional
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If the number of non-NaN values in a window is less than `min_count`,
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then a value of NaN is assigned to the window. By default `min_count`
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is None, which is equivalent to setting `min_count` equal to `window`.
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axis : int, optional
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The axis over which the window is moved. By default the last axis
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(axis=-1) is used. An axis of None is not allowed.
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Returns
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-------
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y : ndarray
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The moving index of maximum values of the input array along the
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specified axis. The output has the same shape as the input. The dtype
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of the output is always float64.
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Examples
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--------
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>>> a = np.array([1.0, 2.0, 3.0, 4.0, 5.0])
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>>> bn.move_argmax(a, window=2)
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array([ nan, 0., 0., 0., 0.])
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>>> a = np.array([5.0, 4.0, 3.0, 2.0, 1.0])
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>>> bn.move_argmax(a, window=2)
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array([ nan, 1., 1., 1., 1.])
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>>> a = np.array([2.0, 3.0, 4.0, 1.0, 7.0, 5.0, 6.0])
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>>> bn.move_argmax(a, window=3)
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array([ nan, nan, 0., 1., 0., 1., 2.])
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move_median(a, window, min_count=None, axis=-1)
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Moving window median along the specified axis, optionally ignoring NaNs.
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float64 output is returned for all input data types.
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Parameters
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----------
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a : ndarray
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Input array. If `a` is not an array, a conversion is attempted.
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window : int
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The number of elements in the moving window.
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min_count: {int, None}, optional
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If the number of non-NaN values in a window is less than `min_count`,
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then a value of NaN is assigned to the window. By default `min_count`
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is None, which is equivalent to setting `min_count` equal to `window`.
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axis : int, optional
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The axis over which the window is moved. By default the last axis
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(axis=-1) is used. An axis of None is not allowed.
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Returns
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-------
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y : ndarray
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The moving median of the input array along the specified axis. The
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output has the same shape as the input.
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Examples
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--------
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>>> a = np.array([1.0, 2.0, 3.0, 4.0])
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>>> bn.move_median(a, window=2)
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array([ nan, 1.5, 2.5, 3.5])
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>>> bn.move_median(a, window=2, min_count=1)
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array([ 1. , 1.5, 2.5, 3.5])
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move_argmin(a, window, min_count=None, axis=-1)
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Moving window index of minimum along the specified axis, optionally
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ignoring NaNs.
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Index 0 is at the rightmost edge of the window. For example, if the array
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|
is monotonically decreasing (increasing) along the specified axis then
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the output array will contain zeros (window-1).
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If there is a tie in input values within a window, then the rightmost
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index is returned.
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|||
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|
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float64 output is returned for all input data types.
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Parameters
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----------
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a : ndarray
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|
Input array. If `a` is not an array, a conversion is attempted.
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|||
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|
window : int
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|
The number of elements in the moving window.
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|||
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|
min_count: {int, None}, optional
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|||
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|
If the number of non-NaN values in a window is less than `min_count`,
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|
then a value of NaN is assigned to the window. By default `min_count`
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|
is None, which is equivalent to setting `min_count` equal to `window`.
|
|||
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|
axis : int, optional
|
|||
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|
The axis over which the window is moved. By default the last axis
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|||
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|
(axis=-1) is used. An axis of None is not allowed.
|
|||
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Returns
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|||
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|
-------
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|||
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y : ndarray
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The moving index of minimum values of the input array along the
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specified axis. The output has the same shape as the input. The dtype
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of the output is always float64.
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Examples
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|||
|
|
--------
|
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|
>>> a = np.array([1.0, 2.0, 3.0, 4.0, 5.0])
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>>> bn.move_argmin(a, window=2)
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array([ nan, 1., 1., 1., 1.])
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>>> a = np.array([5.0, 4.0, 3.0, 2.0, 1.0])
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>>> bn.move_argmin(a, window=2)
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array([ nan, 0., 0., 0., 0.])
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>>> a = np.array([2.0, 3.0, 4.0, 1.0, 7.0, 5.0, 6.0])
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>>> bn.move_argmin(a, window=3)
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array([ nan, nan, 2., 0., 1., 2., 1.])
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move_std(a, window, min_count=None, axis=-1, ddof=0)
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Moving window standard deviation along the specified axis, optionally
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|
ignoring NaNs.
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This function cannot handle input arrays that contain Inf. When Inf
|
|||
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|
enters the moving window, the outout becomes NaN and will continue to
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be NaN for the remainer of the slice.
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Unlike bn.nanstd, which uses a two-pass algorithm, move_nanstd uses a
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one-pass algorithm called Welford's method. The algorithm is slow but
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numerically stable for cases where the mean is large compared to the
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standard deviation.
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|||
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Parameters
|
|||
|
|
----------
|
|||
|
|
a : ndarray
|
|||
|
|
Input array. If `a` is not an array, a conversion is attempted.
|
|||
|
|
window : int
|
|||
|
|
The number of elements in the moving window.
|
|||
|
|
min_count: {int, None}, optional
|
|||
|
|
If the number of non-NaN values in a window is less than `min_count`,
|
|||
|
|
then a value of NaN is assigned to the window. By default `min_count`
|
|||
|
|
is None, which is equivalent to setting `min_count` equal to `window`.
|
|||
|
|
axis : int, optional
|
|||
|
|
The axis over which the window is moved. By default the last axis
|
|||
|
|
(axis=-1) is used. An axis of None is not allowed.
|
|||
|
|
ddof : int, optional
|
|||
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|
Means Delta Degrees of Freedom. The divisor used in calculations
|
|||
|
|
is ``N - ddof``, where ``N`` represents the number of elements.
|
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|
By default `ddof` is zero.
|
|||
|
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|
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|
|
Returns
|
|||
|
|
-------
|
|||
|
|
y : ndarray
|
|||
|
|
The moving standard deviation of the input array along the specified
|
|||
|
|
axis. The output has the same shape as the input.
|
|||
|
|
|
|||
|
|
Examples
|
|||
|
|
--------
|
|||
|
|
>>> a = np.array([1.0, 2.0, 3.0, np.nan, 5.0])
|
|||
|
|
>>> bn.move_std(a, window=2)
|
|||
|
|
array([ nan, 0.5, 0.5, nan, nan])
|
|||
|
|
>>> bn.move_std(a, window=2, min_count=1)
|
|||
|
|
array([ 0. , 0.5, 0.5, 0. , 0. ])
|
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|
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|
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|
|
move_max(a, window, min_count=None, axis=-1)
|
|||
|
|
|
|||
|
|
Moving window maximum along the specified axis, optionally ignoring NaNs.
|
|||
|
|
|
|||
|
|
float64 output is returned for all input data types.
|
|||
|
|
|
|||
|
|
Parameters
|
|||
|
|
----------
|
|||
|
|
a : ndarray
|
|||
|
|
Input array. If `a` is not an array, a conversion is attempted.
|
|||
|
|
window : int
|
|||
|
|
The number of elements in the moving window.
|
|||
|
|
min_count: {int, None}, optional
|
|||
|
|
If the number of non-NaN values in a window is less than `min_count`,
|
|||
|
|
then a value of NaN is assigned to the window. By default `min_count`
|
|||
|
|
is None, which is equivalent to setting `min_count` equal to `window`.
|
|||
|
|
axis : int, optional
|
|||
|
|
The axis over which the window is moved. By default the last axis
|
|||
|
|
(axis=-1) is used. An axis of None is not allowed.
|
|||
|
|
|
|||
|
|
Returns
|
|||
|
|
-------
|
|||
|
|
y : ndarray
|
|||
|
|
The moving maximum of the input array along the specified axis. The
|
|||
|
|
output has the same shape as the input. The dtype of the output is
|
|||
|
|
always float64.
|
|||
|
|
|
|||
|
|
Examples
|
|||
|
|
--------
|
|||
|
|
>>> a = np.array([1.0, 2.0, 3.0, np.nan, 5.0])
|
|||
|
|
>>> bn.move_max(a, window=2)
|
|||
|
|
array([ nan, 2., 3., nan, nan])
|
|||
|
|
>>> bn.move_max(a, window=2, min_count=1)
|
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|
|
array([ 1., 2., 3., 3., 5.])
|
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|
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|
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|
Hõ € P € à2€ Xõ € @, € @€ hõ € P@ € p&€ xõ € °R € ?€ ˆõ € °d € �E€ ˜õ € Ðu € -€ ¨õ € àˆ € € ¸õ € P› € p€ øõ € °ª € Ѐ ö € P» € à7€ move_sum(a, window, min_count=None, axis=-1)
|
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|
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|
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|
|
Moving window sum along the specified axis, optionally ignoring NaNs.
|
|||
|
|
|
|||
|
|
This function cannot handle input arrays that contain Inf. When the
|
|||
|
|
window contains Inf, the output will correctly be Inf. However, when Inf
|
|||
|
|
moves out of the window, the remaining output values in the slice will
|
|||
|
|
incorrectly be NaN.
|
|||
|
|
|
|||
|
|
Parameters
|
|||
|
|
----------
|
|||
|
|
a : ndarray
|
|||
|
|
Input array. If `a` is not an array, a conversion is attempted.
|
|||
|
|
window : int
|
|||
|
|
The number of elements in the moving window.
|
|||
|
|
min_count: {int, None}, optional
|
|||
|
|
If the number of non-NaN values in a window is less than `min_count`,
|
|||
|
|
then a value of NaN is assigned to the window. By default `min_count`
|
|||
|
|
is None, which is equivalent to setting `min_count` equal to `window`.
|
|||
|
|
axis : int, optional
|
|||
|
|
The axis over which the window is moved. By default the last axis
|
|||
|
|
(axis=-1) is used. An axis of None is not allowed.
|
|||
|
|
|
|||
|
|
Returns
|
|||
|
|
-------
|
|||
|
|
y : ndarray
|
|||
|
|
The moving sum of the input array along the specified axis. The output
|
|||
|
|
has the same shape as the input.
|
|||
|
|
|
|||
|
|
Examples
|
|||
|
|
--------
|
|||
|
|
>>> a = np.array([1.0, 2.0, 3.0, np.nan, 5.0])
|
|||
|
|
>>> bn.move_sum(a, window=2)
|
|||
|
|
array([ nan, 3., 5., nan, nan])
|
|||
|
|
>>> bn.move_sum(a, window=2, min_count=1)
|
|||
|
|
array([ 1., 3., 5., 3., 5.])
|
|||
|
|
|
|||
|
|
move_rank(a, window, min_count=None, axis=-1)
|
|||
|
|
|
|||
|
|
Moving window ranking along the specified axis, optionally ignoring NaNs.
|
|||
|
|
|
|||
|
|
The output is normalized to be between -1 and 1. For example, with a
|
|||
|
|
window width of 3 (and with no ties), the possible output values are
|
|||
|
|
-1, 0, 1.
|
|||
|
|
|
|||
|
|
Ties are broken by averaging the rankings. See the examples below.
|
|||
|
|
|
|||
|
|
The runtime depends almost linearly on `window`. The more NaNs there are
|
|||
|
|
in the input array, the shorter the runtime.
|
|||
|
|
|
|||
|
|
Parameters
|
|||
|
|
----------
|
|||
|
|
a : ndarray
|
|||
|
|
Input array. If `a` is not an array, a conversion is attempted.
|
|||
|
|
window : int
|
|||
|
|
The number of elements in the moving window.
|
|||
|
|
min_count: {int, None}, optional
|
|||
|
|
If the number of non-NaN values in a window is less than `min_count`,
|
|||
|
|
then a value of NaN is assigned to the window. By default `min_count`
|
|||
|
|
is None, which is equivalent to setting `min_count` equal to `window`.
|
|||
|
|
axis : int, optional
|
|||
|
|
The axis over which the window is moved. By default the last axis
|
|||
|
|
(axis=-1) is used. An axis of None is not allowed.
|
|||
|
|
|
|||
|
|
Returns
|