Please see fsspec and urllib for more details. Starting with “s3://”, and “gcs://”) the key-value pairs are forwarded toįsspec. For HTTP(S) URLs the key-value pairsĪre forwarded to urllib as header options. storage_options dict, optionalĮxtra options that make sense for a particular storage connection, e.g. wbopendata allows Stata users to download over 3,000 series of indicators from the World Bank databases, including. Other entries passed as additional compression options. Compression mode must be one of, or inferred as one of the above,

Return StataReader object for iterations, returns chunks with order_categoricals bool, default Trueįlag indicating whether converted categorical data are ordered. Columns will be returned in the given order.

If False, numeric data are upcast to pandasĭefault types for foreign data (float64 or int64). Object data types and missing values are represented by If True, columns containing missing values are returned with If False, missing values are replaced with nan. convert_missing bool, default Falseįlag indicating whether to convert missing values to their Stata index_col str, optionalĬolumn to set as index. Read value labels and convert columns to Categorical/Factor variables. convert_dates bool, default TrueĬonvert date variables to DataFrame time values. If you want to pass in a path object, pandas accepts any os.PathLike.īy file-like object, we refer to objects with a read() method, A local file could be: file://localhost/path/to/table.dta. URL schemes include http, ftp, s3, and file. Parameters filepath_or_buffer str, path object or file-like objectĪny valid string path is acceptable. read_stata ( filepath_or_buffer, convert_dates = True, convert_categoricals = True, index_col = None, convert_missing = False, preserve_dtypes = True, columns = None, order_categoricals = True, chunksize = None, iterator = False, compression = 'infer', storage_options = None ) ¶

Stata 13 for dummies