polpo.preprocessing.pd

Preprocessing steps involving pandas dataframes.

Classes

ColumnToDict(column_name)	Extract a column from a dataframe and convert it to a dict.
ColumnsSelector(column_names)	Select dataframe column.
ColumnsToDict(column_names)	Extract one or more columns from a dataframe and convert them to a row-indexed dict.
CsvReader([path, delimiter, nrows])	Read csv with pandas.
DfCopy([deep])	Make a copy of a dataframe.
DfFilter(filter_[, negate])
DfIsInFilter(column_name, values[, negate, ...])
DfToDict([orient])	Convert dataframe into dict.
Drop(labels[, axis, inplace])	Drop specified labels from rows or columns.
Dropna([inplace])	Drop nan in a dataframe.
IndexSetter(key[, inplace, drop, ...])	Set the DataFrame index using existing columns.
Pipeline(steps[, data])
PreprocessingStep()	Preprocessing step.
SeriesToDict()	Convert series into dict.
UpdateColumnValues(column_name, func)	Update dataframe column values.