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zero-one.geni.core.polymorphic


aliascljmultimethod

Column: Gives the column an alias.

Dataset: Returns a new Dataset with an alias set.

Column: Gives the column an alias.

Dataset: Returns a new Dataset with an alias set.
sourceraw docstring

ascljmultimethod

Column: Gives the column an alias.

Dataset: Returns a new Dataset with an alias set.

Column: Gives the column an alias.

Dataset: Returns a new Dataset with an alias set.
sourceraw docstring

assoccljmultimethod

Column: variadic version of map-concat.

Dataset: variadic version of with-column.

Column: variadic version of `map-concat`.

Dataset: variadic version of `with-column`.
sourceraw docstring

avgcljmultimethod

Column: Aggregate function: returns the average of the values in a group.

RelationalGroupedDataset: Compute the average value for each numeric columns for each group.

Column: Aggregate function: returns the average of the values in a group.

RelationalGroupedDataset: Compute the average value for each numeric columns for each group.
sourceraw docstring

coalescecljmultimethod

Column: Returns the first column that is not null, or null if all inputs are null.

Dataset: Returns a new Dataset that has exactly numPartitions partitions, when the fewer partitions are requested.

Column: Returns the first column that is not null, or null if all inputs are null.

Dataset: Returns a new Dataset that has exactly numPartitions partitions, when the fewer partitions are requested.
sourceraw docstring

corrcljmultimethod

Column: Aggregate function: returns the Pearson Correlation Coefficient for two columns.

Datasate: Calculates the Pearson Correlation Coefficient of two columns of a DataFrame.

Column: Aggregate function: returns the Pearson Correlation Coefficient for two columns.

Datasate: Calculates the Pearson Correlation Coefficient of two columns of a DataFrame.
sourceraw docstring

countcljmultimethod

Column: Aggregate function: returns the number of items in a group.

Dataset: Returns the number of rows in the Dataset.

RelationalGroupedDataset: Count the number of rows for each group.

Column: Aggregate function: returns the number of items in a group.

Dataset: Returns the number of rows in the Dataset.

RelationalGroupedDataset: Count the number of rows for each group.
sourceraw docstring

dissoccljmultimethod

Column: Returns a map whose key is not in ks.

Dataset: variadic version of drop.

Column: Returns a map whose key is not in `ks`.

Dataset: variadic version of `drop`.
sourceraw docstring

explaincljmultimethod

Column: Prints the expression to the console for debugging purposes.

Dataset: Prints the physical plan to the console for debugging purposes.

Column: Prints the expression to the console for debugging purposes.

Dataset: Prints the physical plan to the console for debugging purposes.
sourceraw docstring

filtercljmultimethod

Column: Returns an array of elements for which a predicate holds in a given array.

Dataset: Filters rows using the given condition.

Column: Returns an array of elements for which a predicate holds in a given array.

Dataset: Filters rows using the given condition.
sourceraw docstring

firstcljmultimethod

Column: Aggregate function: returns the first value of a column in a group.

Dataset: Returns the first row.

Column: Aggregate function: returns the first value of a column in a group.

Dataset: Returns the first row.
sourceraw docstring

interquartile-rangecljmultimethod

Column: Aggregate function: returns the inter-quartile range of the values in a group.

RelationalGroupedDataset: Compute the inter-quartile range for each numeric columns for each group.

Column: Aggregate function: returns the inter-quartile range of the values in a group.

RelationalGroupedDataset: Compute the inter-quartile range for each numeric columns for each group.
sourceraw docstring

iqrcljmultimethod

Column: Aggregate function: returns the inter-quartile range of the values in a group.

RelationalGroupedDataset: Compute the inter-quartile range for each numeric columns for each group.

Column: Aggregate function: returns the inter-quartile range of the values in a group.

RelationalGroupedDataset: Compute the inter-quartile range for each numeric columns for each group.
sourceraw docstring

lastcljmultimethod

Column: Aggregate function: returns the last value of the column in a group.

Dataset: Returns the last row.

Column: Aggregate function: returns the last value of the column in a group.

Dataset: Returns the last row.
sourceraw docstring

maxcljmultimethod

Column: Aggregate function: returns the maximum value of the column in a group.

RelationalGroupedDataset: Compute the max value for each numeric columns for each group.

Column: Aggregate function: returns the maximum value of the column in a group.

RelationalGroupedDataset: Compute the max value for each numeric columns for each group.
sourceraw docstring

meancljmultimethod

Column: Aggregate function: returns the average of the values in a group.

RelationalGroupedDataset: Compute the average value for each numeric columns for each group.

Column: Aggregate function: returns the average of the values in a group.

RelationalGroupedDataset: Compute the average value for each numeric columns for each group.
sourceraw docstring

mediancljmultimethod

Column: Aggregate function: returns the median range of the values in a group.

RelationalGroupedDataset: Compute the median range for each numeric columns for each group.

Column: Aggregate function: returns the median range of the values in a group.

RelationalGroupedDataset: Compute the median range for each numeric columns for each group.
sourceraw docstring

mincljmultimethod

Column: Aggregate function: returns the minimum value of the column in a group.

RelationalGroupedDataset: Compute the min value for each numeric columns for each group.

Column: Aggregate function: returns the minimum value of the column in a group.

RelationalGroupedDataset: Compute the min value for each numeric columns for each group.
sourceraw docstring

quantilecljmultimethod

Column: Aggregate function: returns the quantile of the values in a group.

RelationalGroupedDataset: Compute the quantile for each numeric columns for each group.

Column: Aggregate function: returns the quantile of the values in a group.

RelationalGroupedDataset: Compute the quantile for each numeric columns for each group.
sourceraw docstring

shufflecljmultimethod

Column: Returns a random permutation of the given array.

Dataset: Shuffles the rows of the Dataset.

Column: Returns a random permutation of the given array.

Dataset: Shuffles the rows of the Dataset.
sourceraw docstring

sumcljmultimethod

Column: Aggregate function: returns the sum of all values in the given column.

RelationalGroupedDataset: Compute the sum for each numeric columns for each group.

Column: Aggregate function: returns the sum of all values in the given column.

RelationalGroupedDataset: Compute the sum for each numeric columns for each group.
sourceraw docstring

to-dfcljmultimethod

Collection: alias for table->dataset.

Dataset: Converts this strongly typed collection of data to generic DataFrame with columns renamed.

Collection: alias for `table->dataset`.

Dataset: Converts this strongly typed collection of data to generic DataFrame with columns renamed.
sourceraw docstring

to-jsoncljmultimethod

Column: Converts a column containing a StructType, ArrayType or a MapType into a JSON string with the specified schema.

Dataset: Returns the content of the Dataset as a Dataset of JSON strings.

Column: Converts a column containing a StructType, ArrayType or a MapType into a JSON string with the specified schema.

Dataset: Returns the content of the Dataset as a Dataset of JSON strings.
sourceraw docstring

updatecljmultimethod

Column: transform-values with Clojure's assoc signature.

Dataset: with-column with Clojure's assoc signature.

Column: `transform-values` with Clojure's `assoc` signature.

Dataset: `with-column` with Clojure's `assoc` signature.
sourceraw docstring

update'cljmultimethod

Column: transform-values with Clojure's assoc signature.

Dataset: with-column with Clojure's assoc signature.

Column: `transform-values` with Clojure's `assoc` signature.

Dataset: `with-column` with Clojure's `assoc` signature.
sourceraw docstring

wherecljmultimethod

Column: Returns an array of elements for which a predicate holds in a given array.

Dataset: Filters rows using the given condition.

Column: Returns an array of elements for which a predicate holds in a given array.

Dataset: Filters rows using the given condition.
sourceraw docstring

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