liwca.dx_weighted_schema

liwca.dx_weighted_schema = <Schema DataFrameSchema(columns={'\\S+': <Schema Column(name=\S+, type=DataType(float64))>}, checks=[<Check At least one term (row)>, <Check At least one category (column)>], parsers=[<Parser Name index 'DicTerm'>, <Parser Name columns 'Category'>, <Parser Lowercase index>, <Parser Sort index>, <Parser Sort columns>], index=<Schema Index(name=DicTerm, type=DataType(string[python]))>, dtype=None, coerce=True, strict=True, name=LIWC dictionary DataFrame schema (weighted), ordered=False, unique=None, report_duplicates=all, unique_column_names=True, add_missing_columns=False, title=None, description=Schema for weighted (numeric) LIWC dictionary DataFrames; signed values allowed, metadata=None, drop_invalid_rows=False)>

A lightweight pandas DataFrame validator.

Parameters:

• dataframe (TDataObject)

• head (int | None)

• tail (int | None)

• sample (int | None)

• random_state (int | None)

• lazy (bool)

• inplace (bool)

Return type:

TDataObject