Series#

class leather.Series(data, x=None, y=None, name=None)#

Bases: object

A series of data and its associated metadata.

Series object does not modify the data it is passed.

Parameters:

  • data –

    A sequence (rows) of sequences (columns), a.k.a. csv.reader() format. If the x and y are not specified then the first column is used as the X values and the second column is used for Y.

    Or, a sequence of (rows) of dicts (columns), a.k.a. csv.DictReader format. If this format is used then x and y arguments must specify the columns to be charted.

    Or, a custom data format, in which case x and y must specify key_function().

  • x –

    If using sequence row data, then this may be either an integer index identifying the X column, or a key_function().

    If using dict row data, then this may be either a key name identifying the X column, or a key_function().

    If using a custom data format, then this must be a key_function().`

  • y – See x.

  • name – An optional name to be used in labeling this series. This will be used as the chart title if rendered in a Lattice.

data_type(dimension)#

Return the data type for a dimension of this series.

data()#

Return data for this series.

values(dimension)#

Get a flattened list of values for a given dimension of the data.

min(dimension)#

Compute the minimum value of a given dimension.

max(dimension)#

Compute the minimum value of a given dimension.

leather.key_function(row, index)#

This example shows how to define a function to extract X and Y values from custom data.

Parameters:

  • row – The function will be called with the row data, in whatever format it was provided to the Series.

  • index – The row index in the series data will also be provided.

Returns:

The function must return a chartable value.