SeriesStatsExtensions Class

The type implements C# and F# extension methods that add numerical operations to Deedle series. With a few exceptions, the methods are only available for series containing floating-point values, that is `Series<'K, float>`. [category:Frame and series operations]

Inheritance Hierarchy

SystemObject
DeedleSeriesStatsExtensions

Namespace: Deedle
Assembly: Deedle (in Deedle.dll) Version: 1.2

Syntax

Copy

[SerializableAttribute]
public class SeriesStatsExtensions

The SeriesStatsExtensions type exposes the following members.

Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	InterpolateLinearK	Linearly interpolates an ordered series given a new sequence of keys. ## Parameters - `keys` - Sequence of new keys that forms the index of interpolated results - `keyDiff` - A function representing "subtraction" between two keys [category:Calculations, aggregation and statistics]
	KurtosisK	Returns the kurtosis of the elements of the series. [category:Statistics]
	MaxK, V	Returns the greatest of all elements of the series. [category:Statistics]
	MaxLevelK1, V, K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the greatest element of each group. This operation is designed to be used with [hierarchical indexing](../features.html#indexing). ## Parameters - `series` - A series of values that are used to calculate the greatest elements - `groupSelector` - A delegate that returns a new group key, based on the key in the input series [category:Statistics]
	MeanK	Returns the mean of the elements of the series. [category:Statistics]
	MeanLevelK1, K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the mean of each group. This operation is designed to be used with [hierarchical indexing](../features.html#indexing). ## Parameters - `series` - A series of values that are used to calculate the means - `groupSelector` - A delegate that returns a new group key, based on the key in the input series [category:Statistics]
	MedianK	Returns the median of the elements of the series. [category:Statistics]
	MedianLevelK1, K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the median of each group. This operation is designed to be used with [hierarchical indexing](../features.html#indexing). ## Parameters - `series` - A series of values that are used to calculate the medians - `groupSelector` - A delegate that returns a new group key, based on the key in the input series [category:Statistics]
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	MinK, V	Returns the smallest of all elements of the series. [category:Statistics]
	MinLevelK1, V, K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the smallest element of each group. This operation is designed to be used with [hierarchical indexing](../features.html#indexing). ## Parameters - `series` - A series of values that are used to calculate the smallest elements - `groupSelector` - A delegate that returns a new group key, based on the key in the input series [category:Statistics]
	NumSumK, V	Returns the sum of the elements of the series of numeric values. [category:Statistics]
	SkewnessK	Returns the skewness of the elements of the series. [category:Statistics]
	StandardDeviationK	Obsolete.
	StdDevK	Returns the standard deviation of the elements of the series. [category:Statistics]
	StdDevLevelK1, K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the standard deviation of each group. This operation is designed to be used with [hierarchical indexing](../features.html#indexing). ## Parameters - `series` - A series of values that are used to calculate the standard deviations - `groupSelector` - A delegate that returns a new group key, based on the key in the input series [category:Statistics]
	SumK	Returns the sum of the elements of the series of float values. [category:Statistics]
	SumLevelK1, K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the sum of each group. This operation is designed to be used with [hierarchical indexing](../features.html#indexing). ## Parameters - `series` - A series of values that are used to calculate the sums - `groupSelector` - A delegate that returns a new group key, based on the key in the input series [category:Statistics]
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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Reference

Deedle Namespace