return create_pdarray(rep_msg)
[docs]
def standard_normal(self, size=None):
- """
+ r"""
Draw samples from a standard Normal distribution (mean=0, stdev=1).
Parameters
@@ -638,10 +690,14 @@ Source code for arkouda.random._generator
Notes
-----
- For random samples from :math:`N(\\mu, \\sigma^2)`, use:
+ For random samples from :math:`N(\mu, \sigma^2)`, either call `normal` or do:
- ``(sigma * standard_normal(size)) + mu``
+ .. math::
+ (\sigma \cdot \texttt{standard_normal}(size)) + \mu
+ See Also
+ --------
+ normal
Examples
--------
@@ -651,12 +707,20 @@ Source code for arkouda.random._generator
>>> rng.standard_normal(3)
array([0.8797352989638163, -0.7085325853376141, 0.021728052940979934]) # random
"""
- from arkouda.random._legacy import standard_normal
-
if size is None:
# delegate to numpy when return size is 1
return self._np_generator.standard_normal()
- return standard_normal(size=size, seed=self._seed)
+ rep_msg = generic_msg(
+ cmd="standardNormalGenerator",
+ args={
+ "name": self._name_dict[akfloat64],
+ "size": size,
+ "state": self._state,
+ },
+ )
+ # since we generate 2*size uniform samples for box-muller transform
+ self._state += (size * 2)
+ return create_pdarray(rep_msg)
diff --git a/_sources/autoapi/arkouda/index.rst.txt b/_sources/autoapi/arkouda/index.rst.txt
index 3d4b90817e..eca4ec14ec 100644
--- a/_sources/autoapi/arkouda/index.rst.txt
+++ b/_sources/autoapi/arkouda/index.rst.txt
@@ -10068,6 +10068,39 @@ Package Contents
+ .. py:method:: normal(loc=0.0, scale=1.0, size=None)
+
+ Draw samples from a normal (Gaussian) distribution
+
+ :param loc: Mean of the distribution. Default of 0.
+ :type loc: float or pdarray of floats, optional
+ :param scale: Standard deviation of the distribution. Must be non-negative. Default of 1.
+ :type scale: float or pdarray of floats, optional
+ :param size: Output shape. Default is None, in which case a single value is returned.
+ :type size: numeric_scalars, optional
+
+ .. rubric:: Notes
+
+ The probability density for the Gaussian distribution is:
+
+ .. math::
+ p(x) = \frac{1}{\sqrt{2\pi \sigma^2}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}
+
+ where :math:`\mu` is the mean and :math:`\sigma` the standard deviation.
+ The square of the standard deviation, :math:`\sigma^2`, is called the variance.
+
+ :returns: Pdarray of floats (unless size=None, in which case a single float is returned).
+ :rtype: pdarray
+
+ .. seealso:: :obj:`standard_normal`, :obj:`uniform`
+
+ .. rubric:: Examples
+
+ >>> ak.random.default_rng(17).normal(3, 2.5, 10)
+ array([2.3673425816523577 4.0532529435624589 2.0598322696795694])
+
+
+
.. py:method:: permutation(x)
Randomly permute a sequence, or return a permuted range.
@@ -10134,9 +10167,12 @@ Package Contents
.. rubric:: Notes
- For random samples from :math:`N(\mu, \sigma^2)`, use:
+ For random samples from :math:`N(\mu, \sigma^2)`, either call `normal` or do:
+
+ .. math::
+ (\sigma \cdot \texttt{standard_normal}(size)) + \mu
- ``(sigma * standard_normal(size)) + mu``
+ .. seealso:: :obj:`normal`
.. rubric:: Examples
diff --git a/_sources/autoapi/arkouda/random/index.rst.txt b/_sources/autoapi/arkouda/random/index.rst.txt
index 8b9189205d..fb07447f11 100644
--- a/_sources/autoapi/arkouda/random/index.rst.txt
+++ b/_sources/autoapi/arkouda/random/index.rst.txt
@@ -107,6 +107,39 @@ Package Contents
+ .. py:method:: normal(loc=0.0, scale=1.0, size=None)
+
+ Draw samples from a normal (Gaussian) distribution
+
+ :param loc: Mean of the distribution. Default of 0.
+ :type loc: float or pdarray of floats, optional
+ :param scale: Standard deviation of the distribution. Must be non-negative. Default of 1.
+ :type scale: float or pdarray of floats, optional
+ :param size: Output shape. Default is None, in which case a single value is returned.
+ :type size: numeric_scalars, optional
+
+ .. rubric:: Notes
+
+ The probability density for the Gaussian distribution is:
+
+ .. math::
+ p(x) = \frac{1}{\sqrt{2\pi \sigma^2}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}
+
+ where :math:`\mu` is the mean and :math:`\sigma` the standard deviation.
+ The square of the standard deviation, :math:`\sigma^2`, is called the variance.
+
+ :returns: Pdarray of floats (unless size=None, in which case a single float is returned).
+ :rtype: pdarray
+
+ .. seealso:: :obj:`standard_normal`, :obj:`uniform`
+
+ .. rubric:: Examples
+
+ >>> ak.random.default_rng(17).normal(3, 2.5, 10)
+ array([2.3673425816523577 4.0532529435624589 2.0598322696795694])
+
+
+
.. py:method:: permutation(x)
Randomly permute a sequence, or return a permuted range.
@@ -173,9 +206,12 @@ Package Contents
.. rubric:: Notes
- For random samples from :math:`N(\mu, \sigma^2)`, use:
+ For random samples from :math:`N(\mu, \sigma^2)`, either call `normal` or do:
+
+ .. math::
+ (\sigma \cdot \texttt{standard_normal}(size)) + \mu
- ``(sigma * standard_normal(size)) + mu``
+ .. seealso:: :obj:`normal`
.. rubric:: Examples
diff --git a/_sources/usage/random.rst.txt b/_sources/usage/random.rst.txt
index 776cf80060..62feb4fcc0 100644
--- a/_sources/usage/random.rst.txt
+++ b/_sources/usage/random.rst.txt
@@ -17,10 +17,26 @@ To create a ``Generator`` use the ``default_rng`` constructor
Features
==========
+choice
+---------
+.. autofunction:: arkouda.random.Generator.choice
+
integers
---------
.. autofunction:: arkouda.random.Generator.integers
+normal
+---------
+.. autofunction:: arkouda.random.Generator.normal
+
+permutation
+---------
+.. autofunction:: arkouda.random.Generator.permutation
+
+shuffle
+---------
+.. autofunction:: arkouda.random.Generator.shuffle
+
random
---------
.. autofunction:: arkouda.random.Generator.random
diff --git a/autoapi/arkouda/index.html b/autoapi/arkouda/index.html
index d8bf7eab70..929bff7f99 100644
--- a/autoapi/arkouda/index.html
+++ b/autoapi/arkouda/index.html
@@ -16206,6 +16206,46 @@ Package Contents
+
+normal(loc=0.0, scale=1.0, size=None)[source]¶
+Draw samples from a normal (Gaussian) distribution
+
+- Parameters:
+
+loc (float or pdarray of floats, optional) – Mean of the distribution. Default of 0.
scale (float or pdarray of floats, optional) – Standard deviation of the distribution. Must be non-negative. Default of 1.
size (numeric_scalars, optional) – Output shape. Default is None, in which case a single value is returned.
+
+Notes
+The probability density for the Gaussian distribution is:
+
+
+\[p(x) = \frac{1}{\sqrt{2\pi \sigma^2}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}\]
+
+where \(\mu\) is the mean and \(\sigma\) the standard deviation.
+The square of the standard deviation, \(\sigma^2\), is called the variance.
+
+- Returns:
+Pdarray of floats (unless size=None, in which case a single float is returned).
+- Return type:
+-
+
+
+
+See also
+
+
+Examples
+>>> ak.random.default_rng(17).normal(3, 2.5, 10)
+array([2.3673425816523577 4.0532529435624589 2.0598322696795694])
+
+
+
-
permutation(x)[source]¶
@@ -16289,8 +16329,15 @@ Package ContentsNotes
-For random samples from \(N(\mu, \sigma^2)\), use:
-(sigma * standard_normal(size)) + mu
+For random samples from \(N(\mu, \sigma^2)\), either call normal or do:
+
+
+\[(\sigma \cdot \texttt{standard_normal}(size)) + \mu\]
+
+
+See also
+
+
Examples
>>> rng = ak.random.default_rng()
>>> rng.standard_normal()
@@ -54072,6 +54119,7 @@ Package ContentsGenerator
Generator.choice()Generator.integers()Generator.normal()Generator.permutation()Generator.random()Generator.shuffle()Package Contents
+-
+normal(loc=0.0, scale=1.0, size=None)[source]¶
+Draw samples from a normal (Gaussian) distribution
+
+- Parameters:
+
+loc (float or pdarray of floats, optional) – Mean of the distribution. Default of 0.
scale (float or pdarray of floats, optional) – Standard deviation of the distribution. Must be non-negative. Default of 1.
size (numeric_scalars, optional) – Output shape. Default is None, in which case a single value is returned.
+
+Notes
+The probability density for the Gaussian distribution is:
+
+
+\[p(x) = \frac{1}{\sqrt{2\pi \sigma^2}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}\]
+
+where \(\mu\) is the mean and \(\sigma\) the standard deviation.
+The square of the standard deviation, \(\sigma^2\), is called the variance.
+
+- Returns:
+Pdarray of floats (unless size=None, in which case a single float is returned).
+- Return type:
+-
+
+
+
+See also
+
+
+Examples
+>>> ak.random.default_rng(17).normal(3, 2.5, 10)
+array([2.3673425816523577 4.0532529435624589 2.0598322696795694])
+
+
+
-
permutation(x)[source]¶
@@ -561,8 +601,15 @@ Package ContentsNotes
-For random samples from \(N(\mu, \sigma^2)\), use:
-(sigma * standard_normal(size)) + mu
+For random samples from \(N(\mu, \sigma^2)\), either call normal or do:
+
+
+\[(\sigma \cdot \texttt{standard_normal}(size)) + \mu\]
+
+
+See also
+
+
Examples
>>> rng = ak.random.default_rng()
>>> rng.standard_normal()
@@ -816,6 +863,7 @@ Package ContentsGenerator
Generator.choice()Generator.integers()Generator.normal()Generator.permutation()Generator.random()Generator.shuffle()C
- clear() (in module arkouda)
@@ -5358,6 +5360,14 @@
N
- NonUniqueError, [1]
+ - normal() (arkouda.Generator method)
+
+
- normalize() (arkouda.client_dtypes.IPv4 method)
@@ -5760,6 +5770,8 @@ P
- pi (in module arkouda.numpy)
@@ -6766,6 +6778,8 @@
S
- shutdown() (in module arkouda.client)
diff --git a/objects.inv b/objects.inv
index 3d55c5e3d0852420e46085ba3052023f77cd4e9c..43e9f69edfdc60e4337fc5a17b7ee427a1a17ed4 100644
GIT binary patch
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diff --git a/searchindex.js b/searchindex.js
index 6d873de385..174231c3dc 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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"argsort"]], "Arithmetic and Numeric Operations": [[71, "arithmetic-and-numeric-operations"]], "Arkouda Arrays": [[50, "arkouda-arrays"]], "Arkouda DataFrames": [[50, "arkouda-dataframes"]], "Arkouda Documentation": [[56, "arkouda-documentation"]], "Arkouda Formatted File": [[51, "arkouda-formatted-file"]], "Array Set Operations": [[83, "array-set-operations"]], "ArrayView": [[52, "arrayview"]], "ArrayView in Arkouda": [[72, "arrayview-in-arkouda"]], "Arrow Install Troubleshooting": [[59, "arrow-install-troubleshooting"]], "Attributes": [[3, "attributes"], [9, "attributes"], [11, "attributes"], [14, "attributes"], [15, "attributes"], [16, "attributes"], [22, "attributes"], [24, "attributes"], [34, "attributes"], [35, "attributes"], [39, "attributes"], [40, "attributes"]], "Basic Interaction": [[50, "basic-interaction"]], "Benchmark Arguments": [[43, "benchmark-arguments"]], "Between client and server": [[68, "between-client-and-server"]], "Bug Reports": [[0, "bug-reports"]], "Build 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Arrays": [[74, "creating-arrays"]], "Creation": [[72, "creation"], [80, "creation"]], "Data Distribution": [[52, "data-distribution"]], "Data Formatting": [[51, "data-formatting"]], "Data I/O": [[68, "data-i-o"]], "Data Preprocessing": [[68, "data-preprocessing"]], "Data Schema": [[52, "data-schema"]], "Data Type": [[79, "data-type"]], "Data Types": [[75, "data-types"]], "DataFrame": [[51, "dataframe"], [52, "dataframe"], [54, "dataframe"]], "DataFrames": [[50, "dataframes"]], "DataFrames in Arkouda": [[75, "dataframes-in-arkouda"]], "Deduplication": [[75, "deduplication"], [81, "deduplication"]], "Dependencies": [[59, "dependencies"]], "Dependency Configuration": [[59, "dependency-configuration"]], "Dependency List": [[63, "dependency-list"]], "Dependency Paths": [[1, "dependency-paths"]], "Descriptive Statistics": [[77, "descriptive-statistics"]], "Developer Documentation": [[49, "developer-documentation"]], "Developer Specific": [[63, "developer-specific"]], "Developing Arkouda": 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"features"]], "File Configuration": [[52, "file-configuration"]], "File Formatting": [[51, "file-formatting"]], "File I/O": [[55, "file-i-o"]], "File Without Header": [[51, "file-without-header"]], "Filter": [[75, "filter"]], "Flattening": [[85, "flattening"]], "Functions": [[2, "functions"], [3, "functions"], [5, "functions"], [8, "functions"], [9, "functions"], [10, "functions"], [11, "functions"], [12, "functions"], [14, "functions"], [15, "functions"], [16, "functions"], [17, "functions"], [18, "functions"], [19, "functions"], [20, "functions"], [22, "functions"], [23, "functions"], [25, "functions"], [26, "functions"], [27, "functions"], [28, "functions"], [29, "functions"], [31, "functions"], [32, "functions"], [34, "functions"], [35, "functions"], [37, "functions"], [39, "functions"], [40, "functions"]], "GASNet Development": [[44, "gasnet-development"]], "Gather": [[66, "gather"]], "Gather/Scatter (pdarray)": [[78, "gather-scatter-pdarray"]], "General I/O API": [[55, 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[[85, "match-object"]], "Merging Pull Requests": [[0, "merging-pull-requests"]], "MetaData Attributes": [[52, "metadata-attributes"]], "Modular Building": [[59, "modular-building"]], "Modular Server Builds": [[62, "modular-server-builds"]], "Module Contents": [[2, "module-contents"], [3, "module-contents"], [5, "module-contents"], [6, "module-contents"], [7, "module-contents"], [8, "module-contents"], [9, "module-contents"], [10, "module-contents"], [11, "module-contents"], [12, "module-contents"], [13, "module-contents"], [15, "module-contents"], [16, "module-contents"], [17, "module-contents"], [18, "module-contents"], [19, "module-contents"], [20, "module-contents"], [21, "module-contents"], [22, "module-contents"], [23, "module-contents"], [24, "module-contents"], [25, "module-contents"], [26, "module-contents"], [27, "module-contents"], [28, "module-contents"], [30, "module-contents"], [31, "module-contents"], [32, "module-contents"], [33, "module-contents"], [34, 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15, 28, 33, 35, 36, 40], "bytes_s": [2, 3, 9, 14, 35, 38, 40], "c": [2, 3, 6, 7, 9, 10, 14, 15, 22, 24, 25, 26, 27, 28, 35, 36, 38, 39, 40, 43, 45, 47, 60, 66, 72, 75, 79, 81, 83, 85], "c1": [3, 9, 14, 23, 71], "c2": [3, 9, 14, 23, 71], "c_string": 52, "cach": [2, 3, 7, 9, 14, 35, 38, 40], "cached_regex_pattern": [2, 3, 9, 14, 35, 38, 40], "cachedaccessor": [2, 14], "calc_string_offset": [14, 17, 68], "calcul": [3, 9, 10, 12, 14, 15, 17, 22, 25, 27, 28, 33, 35, 39, 40, 43, 52, 68, 71, 76, 77, 83], "calculu": [21, 22, 85], "call": [2, 3, 5, 7, 8, 9, 10, 12, 14, 15, 17, 22, 25, 26, 28, 29, 33, 35, 36, 38, 39, 40, 42, 50, 54, 57, 59, 61, 62, 68, 71, 72, 74, 75, 76, 79, 80, 84], "callabl": [9, 10, 14, 28, 40, 75], "callback": [9, 14, 40], "caller": [10, 14, 28, 36, 75], "came": [14, 35, 40, 81], "can": [1, 2, 3, 6, 7, 9, 10, 12, 14, 15, 17, 22, 23, 25, 26, 27, 28, 29, 33, 34, 35, 36, 38, 39, 40, 42, 43, 45, 46, 47, 48, 50, 51, 52, 53, 54, 57, 59, 60, 61, 62, 63, 64, 68, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85], "cancel": [14, 23], "cannot": [2, 3, 6, 7, 9, 10, 12, 14, 15, 17, 22, 23, 25, 26, 28, 35, 36, 38, 39, 40, 54, 64, 68, 72, 73, 76, 79, 85], "canon": 24, "capac": [9, 14, 15, 23, 39, 79], "capit": [2, 3, 9, 14, 35, 38, 40], "capitilz": [2, 3, 9, 14, 35, 38, 40], "captur": [1, 21, 22, 85], "care": 43, "carol": [10, 14, 28, 75], "carri": [2, 14, 28, 39, 40], "cartesian": 72, "case": [2, 3, 7, 8, 9, 12, 14, 15, 17, 22, 23, 25, 28, 29, 33, 35, 36, 38, 39, 40, 43, 45, 50, 51, 52, 54, 59, 60, 62, 64, 71, 80, 82], "cask": 61, "caskroom": [59, 61], "cast": [2, 3, 9, 14, 15, 22, 23, 25, 26, 28, 35, 38, 39, 40, 42, 67, 68, 74, 85], "castabl": [14, 32], "cat": [2, 3, 7, 14, 17, 40, 64], "catch": 0, "categor": [2, 3, 9, 10, 12, 14, 15, 17, 23, 27, 28, 35, 36, 37, 39, 40, 41, 67, 70, 71, 74, 75, 76, 77, 79, 82, 83], "categori": [0, 2, 3, 7, 14, 15, 37, 40, 46, 52, 67, 70, 73], "categorical_arrai": [2, 3, 7, 14, 40], "categorical_test": 0, "categoricaltest": 0, 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14, 23, 35, 38, 40], "colnam": [10, 14], "column": [2, 3, 7, 9, 10, 12, 14, 15, 17, 22, 25, 28, 35, 36, 37, 38, 39, 40, 50, 51, 54, 55, 68, 70, 76, 81, 82], "column_data": 50, "column_delim": [14, 17, 68], "column_label": [10, 14, 28], "column_label_typ": [10, 14, 28], "column_major": [3, 6, 9, 14, 15, 22, 25, 35, 39, 40, 72], "column_nam": 50, "columnar": 68, "com": [0, 14, 31, 60, 61], "combin": [2, 3, 9, 10, 14, 28, 35, 38, 39, 40, 48], "come": [3, 12, 14, 15, 40, 48, 68, 74, 83], "comma": [43, 51, 59], "command": [3, 5, 8, 9, 13, 14, 15, 22, 25, 35, 39, 40, 42, 43, 44, 46, 48, 57, 59, 61, 62, 63, 64, 84], "command_filt": [8, 13], "commandlin": 43, "commandmap": [8, 42, 62], "comment": [0, 47, 62], "commit": [0, 46], "commit_info": 43, "common": [0, 3, 9, 12, 14, 15, 27, 28, 35, 40, 42, 64, 68, 76, 83, 85], "commonli": 50, "commun": [1, 3, 14, 15, 37, 40, 46, 61, 70, 74], "compar": [2, 3, 9, 14, 33, 35, 38, 40, 46, 66, 68, 85], "comparison": [43, 51, 73, 79, 81, 85], "compat": [2, 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35, 36, 38, 39, 40, 42, 67, 76], "register_al": [14, 40], "registerablepiec": [2, 3, 7, 14, 40], "registerd": [14, 36], "registeredsymbol": [14, 16], "registerfunct": 62, "registr": [2, 3, 9, 14, 15, 22, 25, 35, 38, 39, 40], "registrationerror": [2, 3, 7, 9, 10, 12, 14, 15, 22, 25, 28, 35, 36, 38, 39, 40, 76], "registri": [2, 3, 7, 9, 10, 12, 14, 15, 16, 22, 25, 28, 35, 36, 38, 39, 40, 76], "regular": [2, 3, 7, 9, 14, 35, 38, 40, 67, 73], "relat": [43, 46, 50], "releas": [2, 3, 6, 7, 9, 10, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40, 43, 48, 49, 60, 61, 80], "reli": [2, 3, 7, 9, 14, 15, 22, 25, 35, 38, 39, 40, 76], "remain": [2, 3, 6, 7, 9, 10, 14, 15, 17, 22, 23, 25, 28, 35, 38, 39, 40, 60, 68, 69, 75, 82], "remaind": [2, 3, 9, 14, 25, 35, 38, 40, 85], "remap": [2, 3, 7, 14, 40], "rememb": [48, 50], "remot": [46, 60, 61, 84], "remov": [2, 3, 6, 7, 9, 10, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40, 43, 47, 63, 75, 81, 85], "remove_repeat": [14, 35, 40, 67, 81], "renam": [10, 14, 28], "rep_good": 43, "rep_msg": [2, 3, 7, 9, 10, 12, 14, 15, 28, 35, 38, 40, 62], "repack": [2, 3, 6, 7, 9, 10, 12, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40], "repeat": [1, 2, 3, 7, 14, 35, 40, 73, 81], "repl": [2, 3, 9, 13, 14, 22, 35, 38, 40, 85], "replac": [2, 3, 9, 10, 12, 14, 15, 17, 22, 25, 28, 29, 35, 38, 39, 40, 44, 46, 52, 61, 62, 63, 76, 81, 85], "repli": 42, "replic": [3, 9, 12, 14, 15, 28, 35, 40, 76], "repmsg": [5, 9, 14, 15, 22, 35, 36, 39, 40, 42], "repo": [60, 61, 65], "repons": [2, 3, 9, 14, 15, 22, 25, 35, 38, 39, 40], "report": [12, 14, 48], "report_mem": 40, "repr": [3, 9, 10, 12, 14, 15, 28, 33, 35, 36, 40], "repres": [2, 3, 7, 9, 12, 14, 15, 28, 33, 35, 36, 38, 39, 40, 43, 52, 73, 76, 85], "represent": [3, 9, 10, 14, 15, 22, 24, 25, 28, 35, 39, 40], "reproduc": [0, 3, 9, 10, 12, 14, 15, 28, 29, 35, 40, 49, 74, 76, 80], "reqmsg": 42, "request": [2, 3, 9, 10, 12, 14, 15, 18, 25, 26, 28, 35, 38, 40, 42, 46, 74, 75, 76], "requir": [0, 3, 5, 8, 9, 10, 12, 14, 15, 17, 19, 22, 25, 26, 28, 35, 36, 39, 40, 44, 45, 47, 48, 52, 53, 54, 57, 62, 68, 74, 75, 76], "requiredpiec": [2, 3, 7, 14, 40], "reset_categori": [2, 3, 7, 14, 40], "reset_index": [10, 14, 28, 75], "reshap": [3, 6, 9, 14, 15, 22, 25, 35, 39, 40, 67, 72], "resid": [2, 3, 9, 14, 15, 22, 25, 35, 38, 39, 40, 79], "resili": [3, 14, 15, 37, 40, 70], "resisterfunct": 42, "resolv": [0, 45, 57, 64], "resolve_scalar_dtyp": [11, 14], "respect": [3, 9, 10, 14, 15, 23, 25, 26, 27, 28, 33, 35, 39, 46, 68, 74], "respond": 42, "respons": [2, 3, 5, 8, 9, 10, 14, 22, 28, 35, 38, 40, 42], "rest": [14, 36], "restor": [14, 17], "restrict": 5, "result": [2, 3, 7, 9, 10, 12, 14, 15, 17, 19, 22, 23, 25, 26, 27, 28, 29, 31, 33, 35, 36, 38, 39, 40, 42, 43, 50, 51, 52, 53, 61, 68, 71, 74, 75, 76, 79, 80, 81, 82, 85], "result_array_on": [14, 19], "result_limit": [14, 19], "ret": 42, "retain": [14, 23, 25, 40, 71], "retain_index": [10, 14, 28, 75], "retriev": [3, 8, 9, 13, 14, 15, 16, 22, 25, 34, 35, 36, 39, 40, 46], "return": [2, 3, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 51, 53, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85], "return_count": [14, 23, 77], "return_group": [3, 12, 14, 15, 40, 83], "return_group_origin": [21, 22, 85], "return_indic": [3, 9, 12, 14, 15, 28, 35, 40, 76, 83], "return_length": [14, 19, 35], "return_match_origin": [2, 3, 9, 14, 21, 22, 35, 38, 40, 85], "return_multipl": [14, 35, 40, 81], "return_num_sub": 22, "return_obj": [14, 17, 68], "return_origin": [2, 3, 9, 14, 35, 38, 40, 81], "return_seg": [2, 3, 9, 14, 22, 35, 38, 40, 85], "return_valid": [9, 14, 15, 23, 39, 79], "revarg": [3, 14], "revers": [3, 5, 9, 12, 14, 35, 40], "review": 46, "revindic": [3, 14], "revkei": [3, 14], "rf": 59, "rh": 60, "right": [2, 3, 9, 10, 14, 15, 22, 25, 28, 33, 35, 37, 38, 39, 40, 46, 70, 75, 78, 80, 84, 85], "right_align": [3, 14], "right_df": [10, 14, 28], "right_suffix": [10, 14, 28], "risk": [14, 23, 52], "rm": 59, "rng": [14, 28, 29, 39, 80], "role": 1, "root": [2, 3, 7, 9, 10, 12, 14, 15, 22, 25, 28, 35, 36, 39, 40, 43, 52, 60, 68, 71, 76], "rot": [14, 25], "rotat": [3, 9, 14, 15, 22, 23, 25, 35, 39, 40], "rotl": [3, 9, 14, 15, 22, 25, 35, 39, 40], "rotr": [3, 9, 14, 15, 22, 25, 35, 39, 40], "round": [14, 23, 43], "rout": 64, "row": [2, 3, 9, 10, 12, 14, 15, 17, 22, 25, 27, 28, 35, 36, 37, 38, 39, 40, 41, 50, 51, 68, 70, 75, 76, 81, 83], "row_major": [3, 6, 9, 14, 15, 22, 25, 35, 39, 40, 72], "row_numb": [3, 9, 12, 14, 35, 40], "row_start": [3, 9, 12, 14, 35, 40], "rpartit": [2, 3, 9, 14, 35, 38, 40, 85], "rpath": 59, "rpeel": [2, 3, 9, 14, 35, 38, 40, 67, 85], "rule": [9, 14, 15, 23, 39, 79], "run": [2, 3, 6, 7, 8, 9, 10, 14, 15, 17, 22, 23, 25, 28, 35, 38, 39, 40, 47, 48, 50, 57, 59, 60, 61, 63, 64, 66, 68, 72, 73, 79, 81, 84, 85], "runtim": [8, 45], "runtimeerror": [2, 3, 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 17, 21, 22, 23, 25, 26, 27, 28, 35, 36, 38, 39, 40, 68, 71, 72, 73, 74, 76, 77, 79, 83, 84, 85], "runtimewarn": [14, 17, 68], "ruok": 8, "rv": 33, "rv_continu": 33, "s1": [3, 9, 14, 23, 71], "s2": [3, 9, 14, 15, 23, 36, 71], "s3": [10, 14, 28, 36], "sa": [14, 40], "sacrific": 85, "safe": [9, 14, 15, 23, 39, 46, 79], "sai": 84, "sake": 42, "salari": 50, "same": [2, 3, 5, 6, 7, 9, 10, 12, 14, 15, 17, 22, 23, 25, 26, 27, 28, 34, 35, 36, 37, 38, 39, 40, 46, 50, 51, 52, 54, 60, 61, 62, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 78, 79, 80, 81, 82, 83, 85], "sampl": [3, 9, 10, 12, 14, 15, 23, 26, 28, 29, 35, 40, 67, 76, 80], "satisfi": [3, 10, 14, 17, 28], "save": [2, 3, 6, 7, 9, 10, 12, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40, 43, 44, 46, 47, 52, 53, 54, 68, 73, 76, 83], "save_al": [3, 9, 14, 15, 17, 22, 25, 35, 39, 40, 55], "save_offset": [2, 3, 9, 14, 35, 38, 40], "saveusedmodul": [47, 48, 62], "sb": [14, 40], "scalar": [2, 3, 5, 7, 9, 10, 14, 15, 22, 23, 25, 28, 35, 36, 39, 40, 42, 43, 66, 67, 73, 77, 78, 81, 82], "scalardtyp": [11, 14], "scale": [2, 3, 7, 14, 28, 31, 33, 40, 45, 50, 56], "scaler": [14, 36, 82], "scan": 67, "scatter": [43, 67], "schema": 68, "scheme": 46, "scienc": 76, "scipi": [0, 14, 28, 41, 63], "scl": 60, "scope": [0, 62], "script": [42, 47, 61, 62, 66], "scroll": 59, "se": [3, 9, 12, 14, 15, 25, 28, 35, 40, 71, 76], "search": [2, 3, 7, 9, 14, 21, 22, 27, 35, 38, 40, 67, 73], "search_interv": [3, 14], "sec": [2, 14, 28, 39, 40, 43], "second": [2, 3, 8, 9, 10, 14, 15, 18, 23, 26, 27, 28, 35, 36, 38, 39, 40, 42, 43, 47, 50, 71, 74, 79, 82, 83, 84, 85], "secret": 34, "section": [1, 3, 9, 14, 23, 43, 45, 46, 47, 48, 50, 52, 57, 59, 63, 71], "secur": [14, 23, 41], "see": [0, 1, 2, 3, 5, 9, 10, 12, 14, 15, 22, 23, 25, 28, 29, 33, 35, 36, 38, 39, 40, 42, 43, 46, 47, 48, 57, 59, 62, 68, 71, 73, 76, 77, 79, 80, 81, 82, 83, 85], "seealso": [14, 15], "seed": [3, 9, 10, 12, 14, 15, 26, 28, 29, 33, 35, 40, 43, 66, 74, 76, 80], "seen": [8, 84], "seg": 40, "seg_a": [14, 35, 40, 81], "seg_b": [14, 35, 40, 81], "seg_suffix": [14, 35], "segarr": [14, 35, 40, 81], "segarrai": [3, 9, 12, 14, 15, 17, 23, 28, 36, 40, 41, 67, 68, 75, 76, 82], "segment": [2, 3, 7, 9, 10, 12, 14, 15, 17, 19, 28, 35, 38, 40, 52, 67, 68, 73, 76, 81, 83, 85], "segment_nam": [14, 35, 40], "segstr": [2, 3, 9, 14, 35, 38, 40], "select": [8, 10, 13, 14, 17, 28, 35, 36, 40, 42, 46, 59, 65, 75, 81], "selector": [10, 14, 28], "self": [2, 3, 7, 9, 10, 14, 15, 22, 25, 28, 35, 38, 39, 40, 68, 69, 72, 73, 75, 79, 80, 81, 82, 85], "send": [2, 3, 5, 7, 8, 9, 10, 14, 15, 17, 22, 25, 26, 28, 35, 38, 39, 40, 42, 68, 75, 84], "send_arrai": [14, 17], "send_binari": [5, 22], "sens": [10, 14, 28, 36], "sensit": [2, 14, 28, 39, 40], "sent": [5, 14, 17, 22, 53], "sep": 43, "separ": [1, 2, 3, 9, 10, 14, 15, 17, 18, 22, 25, 28, 33, 35, 38, 39, 40, 43, 51, 52, 62, 68, 79, 85], "sequenc": [2, 3, 7, 9, 14, 15, 22, 23, 25, 26, 27, 29, 35, 37, 39, 40, 70, 74, 76, 79, 81, 83, 85], "sequenti": [14, 17, 68], "seri": [2, 10, 14, 15, 26, 28, 39, 40, 41], "serv": 65, "server": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 20, 21, 22, 25, 26, 28, 29, 34, 35, 36, 38, 39, 40, 45, 47, 48, 60, 61, 64, 66, 67, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 85], "server_util": [0, 1], "serverdaemon": 42, "servererrorstr": 42, "serverhostnam": 8, "servermodul": [1, 47, 48, 62], "serverport": 8, "session": [47, 57], "set": [1, 2, 3, 6, 7, 9, 10, 12, 14, 15, 17, 20, 22, 23, 25, 26, 27, 28, 34, 35, 36, 38, 39, 40, 43, 44, 46, 51, 52, 59, 60, 61, 62, 67, 68, 71, 72, 73, 74, 75, 76, 77, 78, 79, 85], "set_categori": [2, 3, 7, 14, 40], "set_dtyp": [14, 15, 69], "set_jth": [14, 35, 40, 67, 81], "set_row": [10, 14, 28], "set_xlim": 33, "setchplenv": [60, 61], "setdiff": [14, 35, 40, 67, 81], "setdiff1d": [14, 27, 35, 40, 42, 50, 67, 81, 83], "setop": 67, "setup": [1, 59, 64], "setxor": [14, 35, 40, 67, 81], "setxor1d": [14, 27, 35, 40, 42, 50, 67, 81, 83], "sever": [50, 52, 68, 71, 74], "sf": 33, "sh": [60, 61], "shallow": [12, 14, 75], 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25, 37, 40, 46, 62, 70, 71], "significantli": [2, 3, 7, 14, 40, 47, 73], "similar": [0, 2, 3, 9, 10, 14, 17, 28, 35, 38, 40, 43, 50, 68, 79, 81, 85], "similarli": [6, 14, 43, 50, 72], "simpl": [0, 50, 62, 77], "simplest": 43, "simpli": [2, 3, 7, 8, 14, 23, 40, 74], "simplic": 42, "simplifi": [0, 43], "simul": [60, 61], "sin": [14, 23, 67, 71], "sinc": [1, 14, 23, 48, 73, 75, 79, 80, 85], "sine": [14, 23, 71], "singl": [0, 2, 3, 5, 6, 7, 9, 10, 12, 14, 15, 17, 19, 22, 23, 24, 25, 27, 28, 29, 35, 38, 39, 40, 47, 48, 50, 52, 54, 59, 62, 66, 68, 74, 75, 76, 78, 80, 81, 83], "singlecomplex": 24, "singleton": [14, 25], "sinh": [14, 23], "siphash": [14, 23], "siphash128": [2, 3, 7, 9, 14, 35, 38, 40], "site": 59, "situat": [14, 26, 39], "six": [2, 3, 5, 9, 14, 15, 22, 35, 38, 39, 40, 85], "size": [0, 2, 3, 5, 6, 7, 9, 10, 11, 12, 14, 15, 17, 19, 22, 23, 25, 26, 28, 29, 33, 35, 36, 37, 38, 39, 40, 43, 50, 52, 53, 54, 66, 67, 68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 85], "skew": [14, 28, 33], "skip": [1, 2, 3, 9, 12, 14, 15, 17, 28, 35, 38, 40, 60, 68, 76, 83, 85], "skipna": [3, 9, 12, 14, 15, 28, 35, 40, 76], "slice": [2, 3, 7, 9, 10, 14, 15, 22, 25, 28, 35, 39, 40, 50, 67, 72, 73, 75, 81, 85], "slice_bit": [3, 9, 14, 15, 22, 25, 35, 39, 40], "slightli": [10, 14, 17, 28, 75], "slower": [2, 3, 7, 14, 40, 85], "small": [10, 14, 23, 28, 36, 52, 68], "smaller": [14, 36, 46, 51, 68], "smallest": [3, 9, 10, 12, 14, 15, 25, 28, 35, 36, 40, 71, 76, 82], "smap": 43, "smemtrack": 1, "smep": 43, "smith": 50, "snappi": [2, 3, 7, 9, 10, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40, 43, 54, 59], "snapshot": [14, 17], "so": [0, 1, 2, 3, 7, 9, 10, 12, 14, 15, 17, 22, 23, 25, 28, 29, 35, 36, 38, 39, 40, 43, 45, 46, 47, 48, 62, 63, 64, 68, 71, 72, 75, 76, 80, 82, 83], "socket": [8, 84], "softwar": 60, "some": [0, 2, 3, 7, 10, 14, 28, 33, 40, 44, 50, 54, 59, 60, 73, 75, 81, 85], "someon": [0, 46], "someth": [46, 47, 84], "sometim": [33, 62, 72, 79], "somewhat": 45, "somewher": 42, "sort": 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35, 38, 39, 40, 43, 68, 72, 73, 75, 79, 81, 85], "transfer_r": 43, "transform": [14, 15], "transit": 50, "translate_np_dtyp": [11, 14], "transpos": [5, 14, 35, 40, 68], "treat": [3, 6, 9, 10, 11, 14, 15, 28, 37, 40, 43, 50, 70, 72, 75], "trial": [43, 66], "trivial": [3, 14], "true": [1, 2, 3, 6, 7, 8, 9, 10, 12, 14, 15, 17, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 33, 35, 36, 38, 39, 40, 43, 50, 61, 68, 69, 71, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85], "true_dt": [14, 19], "trunc": [14, 23], "truncat": [2, 3, 6, 7, 9, 12, 14, 15, 17, 22, 23, 25, 28, 33, 35, 38, 39, 40, 52, 54, 76], "try": [0, 3, 9, 11, 14, 15, 17, 22, 25, 35, 39, 40, 64], "tsc": 43, "tukei": [14, 31], "tune": 1, "tunnel": 1, "tupl": [2, 3, 5, 7, 9, 10, 11, 12, 14, 15, 19, 22, 23, 25, 26, 27, 28, 29, 35, 36, 38, 39, 40, 50, 68, 73, 74, 75, 76, 77, 79, 82, 83, 85], "turn": [11, 14, 36, 47, 57, 82], "tutori": 64, "tvkj": [14, 26], "tvkjte": [14, 26], "twenti": [3, 14], "twice": [9, 14, 15, 26, 35, 68], "two": [2, 3, 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\ No newline at end of file
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36, 39, 40, 42, 43, 66, 67, 73, 77, 78, 81, 82], "scalardtyp": [11, 14], "scale": [2, 3, 7, 14, 28, 29, 31, 33, 40, 45, 50, 56, 80], "scaler": [14, 36, 82], "scan": 67, "scatter": [43, 67], "schema": 68, "scheme": 46, "scienc": 76, "scipi": [0, 14, 28, 41, 63], "scl": 60, "scope": [0, 62], "script": [42, 47, 61, 62, 66], "scroll": 59, "se": [3, 9, 12, 14, 15, 25, 28, 35, 40, 71, 76], "search": [2, 3, 7, 9, 14, 21, 22, 27, 35, 38, 40, 67, 73], "search_interv": [3, 14], "sec": [2, 14, 28, 39, 40, 43], "second": [2, 3, 8, 9, 10, 14, 15, 18, 23, 26, 27, 28, 35, 36, 38, 39, 40, 42, 43, 47, 50, 71, 74, 79, 82, 83, 84, 85], "secret": 34, "section": [1, 3, 9, 14, 23, 43, 45, 46, 47, 48, 50, 52, 57, 59, 63, 71], "secur": [14, 23, 41], "see": [0, 1, 2, 3, 5, 9, 10, 12, 14, 15, 22, 23, 25, 28, 29, 33, 35, 36, 38, 39, 40, 42, 43, 46, 47, 48, 57, 59, 62, 68, 71, 73, 76, 77, 79, 80, 81, 82, 83, 85], "seealso": [14, 15], "seed": [3, 9, 10, 12, 14, 15, 26, 28, 29, 33, 35, 40, 43, 66, 74, 76, 80], 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79], "success": [2, 3, 5, 6, 7, 8, 9, 10, 14, 15, 17, 19, 22, 23, 25, 28, 35, 38, 39, 40, 79, 84], "successfulli": 61, "sudo": [60, 64], "suffix": [2, 3, 9, 10, 14, 17, 28, 35, 38, 40, 52, 67, 85], "suggest": [48, 64], "sum": [2, 3, 9, 10, 12, 14, 15, 22, 23, 25, 28, 35, 36, 39, 40, 67, 71, 76, 77], "summar": [67, 68], "summari": [0, 10, 14, 28], "super": 0, "supercomput": 56, "suppli": [3, 9, 12, 14, 15, 17, 23, 26, 35, 40, 52, 54, 55, 74, 75], "support": [0, 2, 3, 7, 9, 10, 11, 12, 14, 15, 17, 18, 22, 23, 25, 26, 27, 28, 34, 35, 36, 38, 39, 40, 42, 50, 53, 57, 60, 61, 69, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85], "supported_opeq": [2, 14, 28, 39, 40], "supported_scalar": [14, 36], "supported_with_datetim": [2, 14, 28, 39, 40], "supported_with_pdarrai": [2, 14, 28, 39, 40], "supported_with_r_datetim": [2, 14, 28, 39, 40], "supported_with_r_pdarrai": [2, 14, 28, 39, 40], "supported_with_r_timedelta": [2, 14, 28, 39, 40], "supported_with_timedelta": [2, 14, 28, 39, 40], 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7, 8, 9, 10, 12, 14, 15, 17, 22, 25, 28, 35, 36, 38, 39, 40, 44, 46, 51, 52, 53, 60, 61, 68, 72, 73, 76, 82], "them": [1, 2, 3, 9, 10, 14, 15, 17, 27, 28, 33, 35, 38, 40, 46, 60, 68, 75, 83], "therefor": 52, "thi": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 14, 15, 17, 20, 22, 23, 24, 25, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 57, 59, 60, 61, 62, 64, 65, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85], "thin": [9, 14, 40], "thing": [0, 5, 50], "third": [3, 9, 14, 15, 26, 28, 35, 40, 46, 74], "thirti": [3, 14], "those": [0, 3, 5, 14, 15, 37, 40, 50, 60, 62, 70, 78], "though": 50, "thousand": 68, "three": [2, 3, 9, 14, 15, 26, 27, 28, 35, 38, 39, 40, 59, 74, 78, 79, 85], "three_____four____f": [2, 3, 9, 14, 35, 38, 40, 85], "thresh": [10, 14, 28], "threshold": 85, "thrift": 59, "through": [1, 14, 23, 42, 44, 46, 57, 61], "throw": 42, "thrown": [2, 3, 5, 6, 7, 9, 10, 14, 15, 16, 17, 21, 22, 25, 26, 28, 35, 36, 38, 39, 40, 68, 71, 72, 73, 77, 79, 85], "thu": [3, 14, 15, 17, 26, 37, 40, 42, 52, 53, 70, 81], "tiebreak": [3, 14], "time": [1, 2, 3, 7, 8, 9, 10, 12, 14, 15, 17, 19, 22, 23, 25, 28, 35, 36, 38, 39, 40, 43, 45, 47, 48, 51, 52, 54, 62, 66, 68, 73, 76, 77, 80, 81, 83, 85], "timeclass": [14, 17, 41], "timedelta": [14, 17, 26, 28, 39, 40], "timedelta64": [14, 28, 39, 40], "timedelta_rang": [14, 28, 39], "timedeltaindex": [14, 28, 39, 40], "timeout": [1, 8, 84], "timer": 43, "times2": 42, "times2msg": 42, "timeseri": [2, 14, 28, 39, 40], "timestamp": [14, 19], "timezon": [14, 28, 39], "tip": [49, 59], "titl": [0, 2, 3, 9, 14, 35, 38, 40, 46], "titlecas": [2, 3, 9, 14, 35, 38, 40], "tm": 43, "to_csv": [2, 3, 9, 10, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40, 51, 55], "to_cuda": [3, 9, 14, 15, 22, 25, 35, 39, 40], "to_datafram": [14, 36], "to_datetim": [14, 26, 39], "to_devic": 5, "to_dict": [14, 15], "to_hdf": [2, 3, 6, 7, 9, 10, 12, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40, 52, 55, 67, 68, 76], "to_list": [2, 3, 6, 7, 9, 14, 15, 22, 25, 35, 36, 38, 39, 40, 50, 68, 72, 79, 81, 85], "to_markdown": [10, 14, 28, 36], "to_ndarrai": [2, 3, 5, 6, 7, 9, 14, 15, 22, 23, 25, 26, 28, 35, 36, 38, 39, 40, 50, 67, 68, 72, 73, 77, 79, 81, 85], "to_panda": [2, 10, 14, 15, 28, 36, 39, 40, 50, 75, 82], "to_parqet": [3, 9, 14, 15, 22, 25, 35, 39, 40], "to_parquet": [2, 3, 7, 9, 10, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40, 54, 55, 68], "to_str": [2, 3, 7, 14, 40], "toencod": [2, 3, 9, 14, 35, 38, 40], "togeth": [2, 3, 7, 9, 10, 12, 14, 15, 28, 35, 38, 40, 75, 76, 83], "token": [1, 8, 34, 57, 84], "token_hex": 34, "token_str": 57, "token_valu": [8, 84], "toleft": [2, 3, 9, 14, 35, 38, 40, 85], "tolist": 5, "too": [45, 68], "tool": [0, 60, 61], "toolset": 50, "top": [14, 36, 42, 47, 52, 59, 60, 61, 65, 82], "topn": [14, 36, 82], "tosymentri": 42, "total": [2, 3, 8, 9, 10, 12, 14, 15, 17, 28, 35, 38, 40, 43, 68, 76], "total_mem": 8, "total_second": [14, 28, 39, 40], "totestmsg": 62, "touch": 78, "toward": [14, 26, 33], "track": [0, 47, 54], "trail": [2, 3, 9, 14, 15, 22, 25, 35, 38, 39, 40], "transfer": [2, 3, 6, 7, 9, 10, 14, 15, 17, 22, 25, 28, 35, 38, 39, 40, 43, 68, 72, 73, 75, 79, 81, 85], "transfer_r": 43, "transform": [14, 15], "transit": 50, "translate_np_dtyp": [11, 14], "transpos": [5, 14, 35, 40, 68], "treat": [3, 6, 9, 10, 11, 14, 15, 28, 37, 40, 43, 50, 70, 72, 75], "trial": [43, 66], "trivial": [3, 14], "true": [1, 2, 3, 6, 7, 8, 9, 10, 12, 14, 15, 17, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 33, 35, 36, 38, 39, 40, 43, 50, 61, 68, 69, 71, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85], "true_dt": [14, 19], "trunc": [14, 23], "truncat": [2, 3, 6, 7, 9, 12, 14, 15, 17, 22, 23, 25, 28, 33, 35, 38, 39, 40, 52, 54, 76], "try": [0, 3, 9, 11, 14, 15, 17, 22, 25, 35, 39, 40, 64], "tsc": 43, "tukei": [14, 31], "tune": 1, "tunnel": 1, "tupl": [2, 3, 5, 7, 9, 10, 11, 12, 14, 15, 19, 22, 23, 25, 26, 27, 28, 29, 35, 36, 38, 39, 40, 50, 68, 73, 74, 75, 76, 77, 79, 82, 83, 85], "turn": [11, 14, 36, 47, 57, 82], "tutori": 64, "tvkj": [14, 26], "tvkjte": [14, 26], "twenti": [3, 14], "twice": [9, 14, 15, 26, 35, 68], "two": [2, 3, 5, 7, 9, 10, 12, 14, 15, 19, 22, 23, 24, 25, 26, 27, 28, 35, 36, 38, 39, 40, 50, 51, 60, 62, 68, 71, 74, 76, 83, 85], "txt": 1, "type": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 34, 35, 36, 37, 38, 39, 40, 42, 43, 53, 59, 63, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 80, 81, 82, 83, 84, 85], "typecheck": 42, "typeerror": [2, 3, 7, 9, 10, 11, 12, 14, 15, 17, 19, 20, 22, 23, 25, 26, 27, 28, 29, 35, 36, 37, 38, 39, 40, 42, 68, 70, 71, 73, 74, 76, 77, 82, 83, 85], "typeguard": 63, "typic": [0, 9, 14, 40, 42, 47, 48, 73], "tz": [14, 28, 39], "tzinfo": [14, 28, 39], "u": [0, 2, 9, 14, 15, 26, 28, 35, 39, 40, 46, 60, 61, 68], "u0": [10, 14, 15, 28], "u0009": [2, 3, 9, 14, 35, 38, 40], "u0009nu000bu000cu000d": [2, 3, 9, 14, 35, 38, 40], "u000b": [2, 3, 9, 14, 35, 38, 40], 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\ No newline at end of file
diff --git a/usage.html b/usage.html
index 2b37460e8c..392db20c0d 100644
--- a/usage.html
+++ b/usage.html
@@ -638,10 +638,26 @@
- Features
+- choice
+choice()
+
- integers
+- normal
+normal()
+
+- permutation
+
+- shuffle
+shuffle()
+
- random
diff --git a/usage/random.html b/usage/random.html
index 9f85ebb1d4..2f911ac069 100644
--- a/usage/random.html
+++ b/usage/random.html
@@ -417,6 +417,33 @@
Creation
Features¶
+
+choice¶
+
+-
+arkouda.random.Generator.choice(self, a, size=None, replace=True, p=None)¶
+Generates a randomly sample from a.
+
+- Parameters:
+
+a (int or pdarray) – If a is an integer, randomly sample from ak.arange(a).
+If a is a pdarray, randomly sample from a.
size (int, optional) – Number of elements to be sampled
replace (bool, optional) – If True, sample with replacement. Otherwise sample without replacement.
+Defaults to True
p (pdarray, optional) – p is the probabilities or weights associated with each element of a
+- Returns:
+A pdarray containing the sampled values or a single random value if size not provided.
+- Return type:
+pdarray, numeric_scalar
+
+
+
+
integers¶
+
+
+normal¶
+
+-
+arkouda.random.Generator.normal(self, loc=0.0, scale=1.0, size=None)¶
+Draw samples from a normal (Gaussian) distribution
+
+- Parameters:
+
+loc (float or pdarray of floats, optional) – Mean of the distribution. Default of 0.
scale (float or pdarray of floats, optional) – Standard deviation of the distribution. Must be non-negative. Default of 1.
size (numeric_scalars, optional) – Output shape. Default is None, in which case a single value is returned.
+
+Notes
+The probability density for the Gaussian distribution is:
+
+
+\[p(x) = \frac{1}{\sqrt{2\pi \sigma^2}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}\]
+
+where \(\mu\) is the mean and \(\sigma\) the standard deviation.
+The square of the standard deviation, \(\sigma^2\), is called the variance.
+
+- Returns:
+Pdarray of floats (unless size=None, in which case a single float is returned).
+- Return type:
+-
+
+
+
+See also
+
+
+Examples
+>>> ak.random.default_rng(17).normal(3, 2.5, 10)
+array([2.3673425816523577 4.0532529435624589 2.0598322696795694])
+
+
+
+
+
+
+permutation¶
+
+-
+arkouda.random.Generator.permutation(self, x)¶
+Randomly permute a sequence, or return a permuted range.
+
+
+
+
+
+shuffle¶
+
+
random¶
@@ -514,8 +622,15 @@ standard_normalNotes
-For random samples from \(N(\mu, \sigma^2)\), use:
-(sigma * standard_normal(size)) + mu
+For random samples from \(N(\mu, \sigma^2)\), either call normal or do:
+
+
+\[(\sigma \cdot \texttt{standard_normal}(size)) + \mu\]
+
+
+See also
+
+
Examples