read(self, nrows: 'int | None' = None, convert_dates: 'bool | None' = None, convert_categoricals: 'bool | None' = None, index_col: 'str | None' = None, convert_missing: 'bool | None' = None, preserve_dtypes: 'bool | None' = None, columns: 'Sequence[str] | None' = None, order_categoricals: 'bool | None' = None) -> 'DataFrame'
Number of lines to read from data file, if None read whole file.
Convert date variables to DataFrame time values.
Read value labels and convert columns to Categorical/Factor variables.
Column to set as index.
Flag indicating whether to convert missing values to their Stata representations. If False, missing values are replaced with nan. If True, columns containing missing values are returned with object data types and missing values are represented by StataMissingValue objects.
Preserve Stata datatypes. If False, numeric data are upcast to pandas default types for foreign data (float64 or int64).
Columns to retain. Columns will be returned in the given order. None returns all columns.
Flag indicating whether converted categorical data are ordered.
Reads observations from Stata file, converting them into a dataframe
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