Stats (Deedle)

Stats Type

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

Other module members
Series interoploation
Series statistics

Other module members

Static members

Static member	Description
`Stats.count frame` Full Usage: `Stats.count frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, int>`	For each column, returns the number of the values in the column. This excludes missing values and values created from `Double.NaN` etc. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, int>`
`Stats.count series` Full Usage: `Stats.count series` Parameters: series : `Series<'K, 'V>` Returns: `int` Modifiers: inline Type parameters: 'K, 'V	Returns the number of the values in a series. This excludes missing values and values created from `Double.NaN` etc. Series statistics series : `Series<'K, 'V>` Returns: `int`
`Stats.describe frame` Full Usage: `Stats.describe frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Frame<string, 'C>`	Returns a frame with summary statistics (unique count, mean, standard deviation, min, lower quartile, median, upper quartile, max) for each numerical column of the input frame. Only columns convertible to float are included; the row keys of the result are the statistic names ("unique", "mean", "std", "min", "0.25", "0.5", "0.75", "max"). Frame statistics frame : `Frame<'R, 'C>` Returns: `Frame<string, 'C>`
`Stats.describe series` Full Usage: `Stats.describe series` Parameters: series : `Series<'K, 'V>` Returns: `Series<string, float>` Modifiers: inline Type parameters: 'K, 'V	Returns the series of main statistic values of the series. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Series statistics series : `Series<'K, 'V>` Returns: `Series<string, float>`
`Stats.expandingCount series` Full Usage: `Stats.expandingCount series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains counts over expanding windows (the value for a given key is calculated from all elements with smaller keys). Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingKurt series` Full Usage: `Stats.expandingKurt series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains kurtosis over expanding windows (the value for a given key is calculated from all elements with smaller keys); If the entire window contains fewer than 4 values, the result is missing. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingMax series` Full Usage: `Stats.expandingMax series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains maximum over an expanding window. The value for a key _k_ in the returned series is the maximum from all elements with smaller keys. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingMean series` Full Usage: `Stats.expandingMean series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains means over expanding windows (the value for a given key is calculated from all elements with smaller keys); If the entire window contains no values, the result is missing. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingMedian series` Full Usage: `Stats.expandingMedian series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains median over an expanding window. The value for a key _k_ in the returned series is the median from all elements with smaller keys. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingMin series` Full Usage: `Stats.expandingMin series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains minimum over an expanding window. The value for a key _k_ in the returned series is the minimum from all elements with smaller keys. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingSkew series` Full Usage: `Stats.expandingSkew series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains skewness over expanding windows (the value for a given key is calculated from all elements with smaller keys); If the entire window contains fewer than 3 values, the result is missing. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingStdDev series` Full Usage: `Stats.expandingStdDev series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains standard deviation over expanding windows (the value for a given key is calculated from all elements with smaller keys); If the entire window contains fewer than 2 values, the result is missing. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingSum series` Full Usage: `Stats.expandingSum series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains sums over expanding windows (the value for a given key is calculated from all elements with smaller keys); If the entire window contains no values, the result is 0. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.expandingVariance series` Full Usage: `Stats.expandingVariance series` Parameters: series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains variance over expanding windows (the value for a given key is calculated from all elements with smaller keys); If the entire window contains fewer than 2 values, the result is missing. Expanding windows series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.kurt frame` Full Usage: `Stats.kurt frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the kurtosis of the values in a series. The function skips over missing values and `NaN` values. When there are less than 4 values, the result is NaN. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.kurt series` Full Usage: `Stats.kurt series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	Returns the kurtosis of the values in a series. The function skips over missing values and `NaN` values. When there are less than 4 values, the result is NaN. Series statistics series : `Series<'K, 'V>` Returns: `float`
`Stats.levelCount level series` Full Usage: `Stats.levelCount level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, int>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the number of the values in the group. This excludes missing values and values created from `Double.NaN` etc. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, int>`
`Stats.levelKurt level series` Full Usage: `Stats.levelKurt level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the kurtosis of the values in a series. The function skips over missing values and `NaN` values. When there are less than 4 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. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.levelMax level series` Full Usage: `Stats.levelMax level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the maximum of the values in the group. The function skips over missing values and `NaN` values. When the group 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. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.levelMean level series` Full Usage: `Stats.levelMean level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the mean of the values in the group. The function skips over missing values and `NaN` values. When there are no available 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. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.levelMedian level series` Full Usage: `Stats.levelMedian level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the median of the values in the group. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.levelMin level series` Full Usage: `Stats.levelMin level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the minimum of the values in the group. The function skips over missing values and `NaN` values. When the group 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. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.levelSkew level series` Full Usage: `Stats.levelSkew level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the skewness of the values in a series. The function skips over missing values and `NaN` values. When there are less than 3 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. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.levelStdDev level series` Full Usage: `Stats.levelStdDev level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the standard deviation of the values in the group. The function skips over missing values and `NaN` values. When there are less than 2 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. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.levelSum level series` Full Usage: `Stats.levelSum level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the sum of the values in the group. The function skips over missing values and `NaN` values. When there are no available values, the result is 0. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.levelVariance level series` Full Usage: `Stats.levelVariance level series` Parameters: level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>` Modifiers: inline Type parameters: 'K, 'L, 'V	For each group with equal keys at the level specified by `level`, returns the variance of the values in the group. The function skips over missing values and `NaN` values. When there are less than 2 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. Multi-level statistics level : `'K -> 'L` series : `Series<'K, 'V>` Returns: `Series<'L, float>`
`Stats.max frame` Full Usage: `Stats.max frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the maximal values as a series. The function skips over missing and `NaN` values. When there are no values, the result is `NaN`. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.max series` Full Usage: `Stats.max series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	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. Series statistics series : `Series<'K, 'V>` Returns: `float`
`Stats.maxBy f series` Full Usage: `Stats.maxBy f series` Parameters: f : `'T -> 'a` series : `Series<'K, 'T>` Returns: `('K * 'T) option` Modifiers: inline Type parameters: 'T, 'a, 'K	Returns the key and value of the greatest element in the series. The result is an optional value. When the series contains no values, the result is `None`. Series statistics f : `'T -> 'a` series : `Series<'K, 'T>` Returns: `('K * 'T) option`
`Stats.mean frame` Full Usage: `Stats.mean frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the mean of the values in the column. The function skips over missing values and `NaN` values. When there are no available values, the result is NaN. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.mean series` Full Usage: `Stats.mean series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	Returns the mean of the values in a series. The function skips over missing values and `NaN` values. When there are no available 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. Series statistics series : `Series<'K, 'V>` Returns: `float`
`Stats.median frame` Full Usage: `Stats.median frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the median of the values in the column. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.median series` Full Usage: `Stats.median series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	Returns the median of the elements of the series. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Series statistics series : `Series<'K, 'V>` Returns: `float`
`Stats.min frame` Full Usage: `Stats.min frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the minimal values as a series. The function skips over missing and `NaN` values. When there are no values, the result is `NaN`. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.min series` Full Usage: `Stats.min series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	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. Series statistics series : `Series<'K, 'V>` Returns: `float`
`Stats.minBy f series` Full Usage: `Stats.minBy f series` Parameters: f : `'T -> 'a` series : `Series<'K, 'T>` Returns: `('K * 'T) option` Modifiers: inline Type parameters: 'T, 'a, 'K	Returns the key and value of the least element in the series. The result is an optional value. When the series contains no values, the result is `None`. Series statistics f : `'T -> 'a` series : `Series<'K, 'T>` Returns: `('K * 'T) option`
`Stats.movingCount size series` Full Usage: `Stats.movingCount size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains counts over a moving window of the specified size. The first `size-1` elements of the returned series are always missing; if the entire window contains missing values, the result is 0. Throws a `FormatException` or an `InvalidCastException` if the value type of the specified series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingKurt size series` Full Usage: `Stats.movingKurt size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains kurtosis over a moving window of the specified size. The first `size-1` elements of the returned series are always missing; if the entire window contains missing values, the result is also missing. Throws a `FormatException` or an `InvalidCastException` if the value type of the specified series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingMax size series` Full Usage: `Stats.movingMax size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains maximum over a moving window of the specified size. The first `size-1` elements are calculated using smaller windows spanning over `1 .. size-1` values. If the entire window contains missing values, the result is missing. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingMean size series` Full Usage: `Stats.movingMean size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains means over a moving window of the specified size. The first `size-1` elements of the returned series are always missing; if the entire window contains missing values, the result is also missing. Throws a `FormatException` or an `InvalidCastException` if the value type of the specified series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingMedian size series` Full Usage: `Stats.movingMedian size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains median over a moving window of the specified size. The first `size-1` elements of the returned series are always missing; if the entire window contains missing values, the result is also missing. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingMin size series` Full Usage: `Stats.movingMin size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains minimum over a moving window of the specified size. The first `size-1` elements are calculated using smaller windows spanning over `1 .. size-1` values. If the entire window contains missing values, the result is missing. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingSkew size series` Full Usage: `Stats.movingSkew size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains skewness over a moving window of the specified size. The first `size-1` elements of the returned series are always missing; if the entire window contains missing values, the result is also missing. Throws a `FormatException` or an `InvalidCastException` if the value type of the specified series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingStdDev size series` Full Usage: `Stats.movingStdDev size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains standard deviations over a moving window of the specified size. The first `size-1` elements of the returned series are always missing; if the entire window contains missing values, the result is also missing. Throws a `FormatException` or an `InvalidCastException` if the value type of the specified series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingSum size series` Full Usage: `Stats.movingSum size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains sums over a moving window of the specified size. The first `size-1` elements of the returned series are always missing; if the entire window contains missing values, the result is 0. Throws a `FormatException` or an `InvalidCastException` if the value type of the specified series is notconvertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.movingVariance size series` Full Usage: `Stats.movingVariance size series` Parameters: size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Returns a series that contains variance over a moving window of the specified size. The first `size-1` elements of the returned series are always missing; if the entire window contains missing values, the result is also missing. Throws a `FormatException` or an `InvalidCastException` if the value type of the specified series is not convertible to floating point number. Moving windows size : `int` series : `Series<'K, 'V>` Returns: `Series<'K, float>`
`Stats.numSum series` Full Usage: `Stats.numSum series` Parameters: series : `Series<'K, ^V>` Returns: `^V` Modifiers: inline Type parameters: 'K, ^V	Sum that operates only any appropriate numeric type. When there are no available values, the result is zero of the approriate numeric type. Series statistics series : `Series<'K, ^V>` Returns: `^V`
`Stats.quantile (quantiles, series)` Full Usage: `Stats.quantile (quantiles, series)` Parameters: quantiles : `float[]` series : `Series<'K, 'V>` Returns: `Series<string, float>` Modifiers: inline Type parameters: 'K, 'V	Returns the series of quantiles of the series. Excel version of quantile, equivalent to QuantileDefinition.R7 from Math.Net Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. Series statistics quantiles : `float[]` series : `Series<'K, 'V>` Returns: `Series<string, float>`
`Stats.skew frame` Full Usage: `Stats.skew frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the skewness of the values in a series. The function skips over missing values and `NaN` values. When there are less than 3 values, the result is NaN. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.skew series` Full Usage: `Stats.skew series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	Returns the skewness of the values in a series. The function skips over missing values and `NaN` values. When there are less than 3 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. Series statistics series : `Series<'K, 'V>` Returns: `float`
`Stats.stdDev frame` Full Usage: `Stats.stdDev frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the standard deviation of the values in the column. The function skips over missing values and `NaN` values. When there are less than 2 values, the result is NaN. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.stdDev series` Full Usage: `Stats.stdDev series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	Returns the standard deviation of the values in a series. The function skips over missing values and `NaN` values. When there are less than 2 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. Series statistics series : `Series<'K, 'V>` Returns: `float`
`Stats.sum frame` Full Usage: `Stats.sum frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the sum of the values in the column. The function skips over missing values and `NaN` values. When there are no available values, the result is 0. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.sum series` Full Usage: `Stats.sum series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	Returns the sum of the values in a series. The function skips over missing values and `NaN` values. When there are no available 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. Series statistics series : `Series<'K, 'V>` Returns: `float`
`Stats.tryMax series` Full Usage: `Stats.tryMax series` Parameters: series : `Series<'K, 'V>` Returns: `'V option` Modifiers: inline Type parameters: 'K, 'V	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`. Series statistics series : `Series<'K, 'V>` Returns: `'V option`
`Stats.tryMin series` Full Usage: `Stats.tryMin series` Parameters: series : `Series<'K, 'V>` Returns: `'V option` Modifiers: inline Type parameters: 'K, 'V	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`. Series statistics series : `Series<'K, 'V>` Returns: `'V option`
`Stats.uniqueCount frame` Full Usage: `Stats.uniqueCount frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, int>`	For each column, returns the number of unique values. frame : `Frame<'R, 'C>` Returns: `Series<'C, int>`
`Stats.uniqueCount series` Full Usage: `Stats.uniqueCount series` Parameters: series : `Series<'K, 'V>` Returns: `int` Modifiers: inline Type parameters: 'K, 'V	Returns the number of unique values in a series. series : `Series<'K, 'V>` Returns: `int`
`Stats.variance frame` Full Usage: `Stats.variance frame` Parameters: frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`	For each numerical column, returns the variance of the values in the column. The function skips over missing values and `NaN` values. When there are less than 2 values, the result is NaN. Frame statistics frame : `Frame<'R, 'C>` Returns: `Series<'C, float>`
`Stats.variance series` Full Usage: `Stats.variance series` Parameters: series : `Series<'K, 'V>` Returns: `float` Modifiers: inline Type parameters: 'K, 'V	Returns the variance of the values in a series. The function skips over missing values and `NaN` values. When there are less than 2 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. Series statistics series : `Series<'K, 'V>` Returns: `float`

Series interoploation

Static members

Static member	Description
`Stats.interpolate keys f series` Full Usage: `Stats.interpolate keys f series` Parameters: keys : `'K seq` - Sequence of new keys that forms the index of interpolated results f : `'K -> ('K * 'T) option -> ('K * 'T) option -> 'T` - Function to do the interpolating series : `Series<'K, 'T>` - The input series to interpolate Returns: `Series<'K, 'T>`	Interpolates an ordered series given a new sequence of keys. The function iterates through each new key, and invokes a function on the current key, the nearest smaller and larger valid observations from the series argument. The function must return a new valid float. keys : `'K seq` Sequence of new keys that forms the index of interpolated results f : `'K -> ('K * 'T) option -> ('K * 'T) option -> 'T` Function to do the interpolating series : `Series<'K, 'T>` The input series to interpolate Returns: `Series<'K, 'T>`
`Stats.interpolateLinear keys keyDiff series` Full Usage: `Stats.interpolateLinear keys keyDiff series` Parameters: keys : `'K seq` - Sequence of new keys that forms the index of interpolated results keyDiff : `'K -> 'K -> float` - A function representing "subtraction" between two keys series : `Series<'K, 'V>` - The input series to interpolate Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	Linearly interpolates an ordered series given a new sequence of keys. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to floating point number. keys : `'K seq` Sequence of new keys that forms the index of interpolated results keyDiff : `'K -> 'K -> float` A function representing "subtraction" between two keys series : `Series<'K, 'V>` The input series to interpolate Returns: `Series<'K, float>`
`Stats.interpolateLinearWith keys keyDiff extrapolation series` Full Usage: `Stats.interpolateLinearWith keys keyDiff extrapolation series` Parameters: keys : `'K seq` - Sequence of new keys that forms the index of interpolated results keyDiff : `'K -> 'K -> float` - A function representing "subtraction" between two keys extrapolation : `Extrapolation` - Specifies the behavior for keys outside the source series range: `Extrapolation.Clamp` retains the nearest boundary value (same as `interpolateLinear`); `Extrapolation.Missing` produces `nan` for out-of-range keys; `Extrapolation.Linear` continues the boundary slope. series : `Series<'K, 'V>` - The input series to interpolate Returns: `Series<'K, float>` Modifiers: inline Type parameters: 'K, 'V	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. Throws a `FormatException` or an `InvalidCastException` if the value type of the series is not convertible to a floating point number. keys : `'K seq` Sequence of new keys that forms the index of interpolated results keyDiff : `'K -> 'K -> float` A function representing "subtraction" between two keys extrapolation : `Extrapolation` Specifies the behavior for keys outside the source series range: `Extrapolation.Clamp` retains the nearest boundary value (same as `interpolateLinear`); `Extrapolation.Missing` produces `nan` for out-of-range keys; `Extrapolation.Linear` continues the boundary slope. series : `Series<'K, 'V>` The input series to interpolate Returns: `Series<'K, float>`

Series statistics

Static members

Static member	Description
`Stats.corr series1 series2` Full Usage: `Stats.corr series1 series2` Parameters: series1 : `Series<'K, 'V1>` - The first input series series2 : `Series<'K, 'V2>` - The second input series Returns: `float` Modifiers: inline Type parameters: 'K, 'V1, 'V2	Returns the Pearson correlation coefficient of the values in two series. The series are aligned on their keys (inner join) and correlation is computed over all key-aligned, non-missing pairs. Returns `NaN` when fewer than 2 pairs are available or when either series has zero variance. Throws a `FormatException` or an `InvalidCastException` if the value type of either series is not convertible to floating point number. series1 : `Series<'K, 'V1>` The first input series series2 : `Series<'K, 'V2>` The second input series Returns: `float`
`Stats.cov series1 series2` Full Usage: `Stats.cov series1 series2` Parameters: series1 : `Series<'K, 'V1>` - The first input series series2 : `Series<'K, 'V2>` - The second input series Returns: `float` Modifiers: inline Type parameters: 'K, 'V1, 'V2	Returns the sample covariance of the values in two series. The series are aligned on their keys (inner join) and covariance is computed over all key-aligned, non-missing pairs. Returns `NaN` when fewer than 2 pairs are available. Throws a `FormatException` or an `InvalidCastException` if the value type of either series is not convertible to floating point number. series1 : `Series<'K, 'V1>` The first input series series2 : `Series<'K, 'V2>` The second input series Returns: `float`

Stats Type

Table of contents

Other module members

Static members

Series interoploation

Static members

Series statistics

Static members