SeriesStatsExtensions (Deedle) | Deedle

SeriesStatsExtensions Type

Namespace: Deedle
Assembly: Deedle.dll
Base Type: obj

The type implements C# and F# extension methods that add numerical operations to Deedle series.

Table of contents

Other module members
Calculations, aggregation and statistics
Statistics

Other module members

Static members

Static member	Description
`SeriesStatsExtensions.Kurtosis(series)` Full Usage: `SeriesStatsExtensions.Kurtosis(series)` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Returns the kurtosis of the elements of the series. Statistics series : `Series<'K, 'V>` Returns: `float`
`SeriesStatsExtensions.Max(series)` Full Usage: `SeriesStatsExtensions.Max(series)` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Returns the maximum of the values in a series. The result is an float value. When the series contains no values, the result is NaN. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Statistics series : `Series<'K, 'V>` Returns: `float`
`SeriesStatsExtensions.Mean(series)` Full Usage: `SeriesStatsExtensions.Mean(series)` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Returns the mean of the elements of the series. Statistics series : `Series<'K, 'V>` Returns: `float`
`SeriesStatsExtensions.Median(series)` Full Usage: `SeriesStatsExtensions.Median(series)` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Returns the median of the elements of the series. Statistics series : `Series<'K, 'V>` Returns: `float`
`SeriesStatsExtensions.Min(series)` Full Usage: `SeriesStatsExtensions.Min(series)` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Returns the minimum of the values in a series. The result is an float value. When the series contains no values, the result is NaN. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Statistics series : `Series<'K, 'V>` Returns: `float`
`SeriesStatsExtensions.NumSum(series)` Full Usage: `SeriesStatsExtensions.NumSum(series)` Parameters: series : `Series<'K, ^V>` Returns: `^V` Modifiers: inline Type parameters: 'K, ^V (requires equality and (static member get_Zero : -> ^V) and (static member op_Addition : ^V * ^V -> ^V))	Returns the sum of the elements of the series of numeric values. Statistics series : `Series<'K, ^V>` Returns: `^V`
`SeriesStatsExtensions.Skewness(series)` Full Usage: `SeriesStatsExtensions.Skewness(series)` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Returns the skewness of the elements of the series. Statistics series : `Series<'K, 'V>` Returns: `float`
`SeriesStatsExtensions.StdDev(series)` Full Usage: `SeriesStatsExtensions.StdDev(series)` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Returns the standard deviation of the elements of the series. Statistics series : `Series<'K, 'V>` Returns: `float`
`SeriesStatsExtensions.Sum(series)` Full Usage: `SeriesStatsExtensions.Sum(series)` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Returns the sum of the elements of the series of float values. Statistics series : `Series<'K, 'V>` Returns: `float`
`SeriesStatsExtensions.TryMax(series)` Full Usage: `SeriesStatsExtensions.TryMax(series)` Parameters: series : `Series<'K, 'V>` Returns: `'V option` Modifiers: inline Type parameters: 'K, 'V (requires equality and comparison)	Returns the maximum of the values in a series. The result is an option value. When the series contains no values, the result is `None`. Statistics series : `Series<'K, 'V>` Returns: `'V option`
`SeriesStatsExtensions.TryMin(series)` Full Usage: `SeriesStatsExtensions.TryMin(series)` Parameters: series : `Series<'K, 'V>` Returns: `'V option` Modifiers: inline Type parameters: 'K, 'V (requires equality and comparison)	Returns the minimum of the values in a series. The result is an option value. When the series contains no values, the result is `None`. Statistics series : `Series<'K, 'V>` Returns: `'V option`

Calculations, aggregation and statistics

Static members

Static member	Description
`SeriesStatsExtensions.InterpolateLinear(series, keys, keyDiff)` Full Usage: `SeriesStatsExtensions.InterpolateLinear(series, keys, keyDiff)` Parameters: series : `Series<'K, 'V>` - The input series to interpolate keys : `'K seq` - Sequence of new keys that forms the index of interpolated results keyDiff : `Func<'K, 'K, float>` - A function representing "subtraction" between two keys Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Linearly interpolates an ordered series given a new sequence of keys. series : `Series<'K, 'V>` The input series to interpolate keys : `'K seq` Sequence of new keys that forms the index of interpolated results keyDiff : `Func<'K, 'K, float>` A function representing "subtraction" between two keys Returns: `Series<'K, float>`
`SeriesStatsExtensions.InterpolateLinearWith(series, keys, keyDiff, extrapolation)` Full Usage: `SeriesStatsExtensions.InterpolateLinearWith(series, keys, keyDiff, extrapolation)` Parameters: series : `Series<'K, 'V>` - The input series to interpolate keys : `'K seq` - Sequence of new keys that forms the index of interpolated results keyDiff : `Func<'K, 'K, float>` - A function representing "subtraction" between two keys extrapolation : `Extrapolation` - Controls how keys outside the source range are handled: `Extrapolation.Clamp` uses the nearest boundary value; `Extrapolation.Missing` produces `nan` for out-of-range keys; `Extrapolation.Linear` continues the boundary slope. Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V (requires equality)	Linearly interpolates an ordered series given a new sequence of keys, with configurable extrapolation behavior for keys that fall outside the range of the original series. series : `Series<'K, 'V>` The input series to interpolate keys : `'K seq` Sequence of new keys that forms the index of interpolated results keyDiff : `Func<'K, 'K, float>` A function representing "subtraction" between two keys extrapolation : `Extrapolation` Controls how keys outside the source range are handled: `Extrapolation.Clamp` uses the nearest boundary value; `Extrapolation.Missing` produces `nan` for out-of-range keys; `Extrapolation.Linear` continues the boundary slope. Returns: `Series<'K, float>`

Statistics

Static members

Static member	Description
`SeriesStatsExtensions.MaxLevel(series, groupSelector)` Full Usage: `SeriesStatsExtensions.MaxLevel(series, groupSelector)` Parameters: series : `Series<'K1, 'V>` - A series of values that are used to calculate the greatest elements groupSelector : `Func<'K1, 'K2>` - A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, 'V>` Modifiers: inline Type parameters: 'K1, 'V, 'K2 (requires equality and comparison and equality)	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). series : `Series<'K1, 'V>` A series of values that are used to calculate the greatest elements groupSelector : `Func<'K1, 'K2>` A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, 'V>`
`SeriesStatsExtensions.MeanLevel(series, groupSelector)` Full Usage: `SeriesStatsExtensions.MeanLevel(series, groupSelector)` Parameters: series : `Series<'K1, 'V>` - A series of values that are used to calculate the means groupSelector : `Func<'K1, 'K2>` - A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, float>` Modifiers: inline Type parameters: 'K1, 'V, 'K2 (requires equality and equality)	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). series : `Series<'K1, 'V>` A series of values that are used to calculate the means groupSelector : `Func<'K1, 'K2>` A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, float>`
`SeriesStatsExtensions.MedianLevel(series, groupSelector)` Full Usage: `SeriesStatsExtensions.MedianLevel(series, groupSelector)` Parameters: series : `Series<'K1, 'V>` - A series of values that are used to calculate the medians groupSelector : `Func<'K1, 'K2>` - A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, float>` Modifiers: inline Type parameters: 'K1, 'V, 'K2 (requires equality and equality)	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). series : `Series<'K1, 'V>` A series of values that are used to calculate the medians groupSelector : `Func<'K1, 'K2>` A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, float>`
`SeriesStatsExtensions.MinLevel(series, groupSelector)` Full Usage: `SeriesStatsExtensions.MinLevel(series, groupSelector)` Parameters: series : `Series<'K1, 'V>` - A series of values that are used to calculate the smallest elements groupSelector : `Func<'K1, 'K2>` - A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, 'V>` Modifiers: inline Type parameters: 'K1, 'V, 'K2 (requires equality and comparison and equality)	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). series : `Series<'K1, 'V>` A series of values that are used to calculate the smallest elements groupSelector : `Func<'K1, 'K2>` A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, 'V>`
`SeriesStatsExtensions.StdDevLevel(series, groupSelector)` Full Usage: `SeriesStatsExtensions.StdDevLevel(series, groupSelector)` Parameters: series : `Series<'K1, 'V>` - A series of values that are used to calculate the standard deviations groupSelector : `Func<'K1, 'K2>` - A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, float>` Modifiers: inline Type parameters: 'K1, 'V, 'K2 (requires equality and equality)	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). series : `Series<'K1, 'V>` A series of values that are used to calculate the standard deviations groupSelector : `Func<'K1, 'K2>` A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, float>`
`SeriesStatsExtensions.SumLevel(series, groupSelector)` Full Usage: `SeriesStatsExtensions.SumLevel(series, groupSelector)` Parameters: series : `Series<'K1, 'V>` - A series of values that are used to calculate the sums groupSelector : `Func<'K1, 'K2>` - A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, float>` Modifiers: inline Type parameters: 'K1, 'V, 'K2 (requires equality and equality)	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). series : `Series<'K1, 'V>` A series of values that are used to calculate the sums groupSelector : `Func<'K1, 'K2>` A delegate that returns a new group key, based on the key in the input series Returns: `Series<'K2, float>`