Crysda::DataCol

Returns BoolCol values as an array of Bool?

Returns Int32Col, Int64Col, Float64Col values as an array of Float64?

Returns Int32Col values as an array of Int32?

Returns Int32Col or Int64Col values as an array of Int64?

Returns values as Array of String?

Calculates the cumulative sum of the column values. An NA value in x causes the corresponding and following elements of the return value to be NA. raises InvalidColumnOperationException If the type of the column is not numeric

Creates a sorting attribute that inverts the order of the argument

See Object#hash(hasher)

Maps a column to true for NA values and false otherwise Returns a Bool array with NA values marked as true, while others are marked as false

Maps a column to false for NA values and true otherwise Returns a Bool array with NA values marked as false, while others are marked as true

Returns the "previous" column values. Useful for comparing values ahead of the current values. n - positive integer, giving the number of positions to lead by (defaults to 1)

Returns the "next" column values. Useful for comparing values ahead of the current values. n - positive integer, giving the number of positions to lead by (defaults to 1)

Match a text column in a NA-aware manner to create a predicate vector for filtering.

Calculates the maximum of the column values. remove_na If true missing values will be excluded from the operation raises MissingValueException if remove_na is false but the data contains missing values raises InvalidColumnOperationException If the type of the column is not numeric

Calculates the arithmetic mean of the column values. remove_na If true missing values will be excluded from the operation raises MissingValueException if remove_na is false but the data contains missing values raises InvalidColumnOperationException If the type of the column is not numeric

Calculates the median of the column values. remove_na If true missing values will be excluded from the operation raises MissingValueException if remove_na is false but the data contains missing values raises InvalidColumnOperationException If the type of the column is not numeric

Calculates the minimum of the column values. remove_na If true missing values will be excluded from the operation raises MissingValueException if remove_na is false but the data contains missing values raises InvalidColumnOperationException If the type of the column is not numeric

order returns the index each element would have in an ascending list

y = Float64Col.new("foo", [3.5, 3.0, 3.2, 3.1, 3.6, 3.9, 3.4, 3.4, 2.9, 3.1])
y.order # => [8, 1, 3, 9, 2, 6, 7, 0, 4, 5]

Calculates the percentage change between the current and a prior column value. raises InvalidColumnOperationException If the type of the receiver column is not numeric

rank returns the order of each element in an ascending list

y = Float64Col.new("foo", [3.5, 3.0, 3.2, 3.1, 3.6, 3.9, 3.4, 3.4, 2.9, 3.1])
y.rank # => [7, 1, 4, 2, 8, 9, 5, 6, 0, 3]

Calculates the standard deviation of the column values. remove_na If true missing values will be excluded from the operation raises MissingValueException if remove_na is false but the data contains missing values raises InvalidColumnOperationException If the type of the column is not numeric

Calculates the sum of the column values. remove_na If true missing values will be excluded from the operation raises MissingValueException if remove_na is false but the data contains missing values raises InvalidColumnOperationException If the type of the column is not numeric

Same as #inspect(io).

Returns a nicely readable and concise string representation of this object, typically intended for users.

This method should usually not be overridden. It delegates to #to_s(IO) which can be overridden for custom implementations.

Also see #inspect.