DataFrameStatFunctions Class
Definition
Important
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Provides statistic functions for DataFrame.
public sealed class DataFrameStatFunctionstype DataFrameStatFunctions = classPublic NotInheritable Class DataFrameStatFunctions- Inheritance
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DataFrameStatFunctions
Methods
| ApproxQuantile(String, IEnumerable<Double>, Double) |
Calculates the approximate quantiles of a numerical column of a DataFrame. |
| Corr(String, String, String) |
Calculates the correlation of two columns of a DataFrame. |
| Corr(String, String) |
Calculates the Pearson Correlation Coefficient of two columns of a DataFrame. |
| Cov(String, String) |
Calculate the sample covariance of two numerical columns of a DataFrame. |
| Crosstab(String, String) |
Computes a pair-wise frequency table of the given columns, also known as a contingency table. |
| FreqItems(IEnumerable<String>, Double) |
Finding frequent items for columns, possibly with false positives. |
| FreqItems(IEnumerable<String>) |
Finding frequent items for columns, possibly with false positives with a default support of 1%. |
| SampleBy<T>(Column, IDictionary<T,Double>, Int64) |
Returns a stratified sample without replacement based on the fraction given on each stratum. |
| SampleBy<T>(String, IDictionary<T,Double>, Int64) |
Returns a stratified sample without replacement based on the fraction given on each stratum. |