FrameStatsExtensions

Namespace: Deedle
Attributes:
[<Extension>]

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>.

Static members

Static member	Description
`FrameStatsExtensions.Kurtosis(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	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.
`FrameStatsExtensions.Max(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	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`.
`FrameStatsExtensions.Mean(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	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.
`FrameStatsExtensions.Median(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	For each numerical column, returns the median of the values in the column.
`FrameStatsExtensions.Min(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	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`.
`FrameStatsExtensions.Skewness(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	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.
`FrameStatsExtensions.StdDev(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	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.
`FrameStatsExtensions.Sum(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	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.
`FrameStatsExtensions.UniqueCount(df)` Signature: df:Frame<'R,'C> -> Series<'C,int> Type parameters: 'R, 'C Attributes: [<Extension>]	For each column, returns the number of unique values.
`FrameStatsExtensions.Variance(df)` Signature: df:Frame<'R,'C> -> Series<'C,float> Type parameters: 'R, 'C Attributes: [<Extension>]	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.