StataReader.file_timestamp()

statsmodels.iolib.foreign.StataReader.file_timestamp StataReader.file_timestamp() [source] Returns the date and time Stata recorded on last file save. Returns: out : str

StataReader.file_label()

statsmodels.iolib.foreign.StataReader.file_label StataReader.file_label() [source] Returns the dataset?s label. Returns: out: string :

StataReader.file_headers()

statsmodels.iolib.foreign.StataReader.file_headers StataReader.file_headers() [source] Returns all .dta file headers. out: dict Has keys typlist, data_label, lbllist, varlist, nvar, filetype, ds_format, nobs, fmtlist, vlblist, time_stamp, srtlist, byteorder

StataReader.file_format()

statsmodels.iolib.foreign.StataReader.file_format StataReader.file_format() [source] Returns the file format. Returns: out : int Notes Format 113: Stata 8/9 Format 114: Stata 10/11 Format 115: Stata 12

StataReader.dataset()

statsmodels.iolib.foreign.StataReader.dataset StataReader.dataset(as_dict=False) [source] Returns a Python generator object for iterating over the dataset. Parameters: as_dict : bool, optional If as_dict is True, yield each row of observations as a dict. If False, yields each row of observations as a list. Returns: Generator object for iterating over the dataset. Yields each row of : observations as a list by default. : Notes If missing_values is True during instantiation of StataReade

SquareFunc.squarefunc()

statsmodels.sandbox.distributions.transformed.SquareFunc.squarefunc SquareFunc.squarefunc(x) [source]

SquareFunc.inverseplus()

statsmodels.sandbox.distributions.transformed.SquareFunc.inverseplus SquareFunc.inverseplus(x) [source]

SquareFunc.inverseminus()

statsmodels.sandbox.distributions.transformed.SquareFunc.inverseminus SquareFunc.inverseminus(x) [source]

SquareFunc.derivplus()

statsmodels.sandbox.distributions.transformed.SquareFunc.derivplus SquareFunc.derivplus(x) [source]

SquareFunc.derivminus()

statsmodels.sandbox.distributions.transformed.SquareFunc.derivminus SquareFunc.derivminus(x) [source]