Tax-Calculator Data#
Tax-Calculator Data
taxcalc.data#
- class taxcalc.data.Data(data, start_year, gfactors=None, weights=None)[source]#
Inherit from this class for Records and other collections of cross-sectional data that need to have growth factors and sample weights to age the data to years after the start_year.
- Parameters:
data (string or Pandas DataFrame) –
string describes CSV file in which data reside; DataFrame already contains cross-sectional data for start_year. NOTE: data=None is allowed but the returned instance contains only
the data variable information in the specified VARINFO file.
NOTE: when using custom data, set this argument to a DataFrame.
start_year (integer) – specifies calendar year of the input data.
gfactors (None or GrowFactors class instance) – None implies empty growth factors DataFrame; instance contains data growth factors.
weights (None or string or Pandas DataFrame) – None creates empty sample weights DataFrame. string describes CSV file in which sample weights reside; DataFrame already contains sample weights. NOTE: when using custom weights, set this argument to a DataFrame. NOTE: assumes weights are integers that are 100 times the real weights.
- Raises:
ValueError: – if data is not a string or a DataFrame instance. if start_year is not an integer. if gfactors is not None or a GrowFactors class instance if weights is not None or a string or a DataFrame instance. if gfactors and weights are not consistent. if files cannot be found.
- Returns:
class instance
- Return type:
- _read_var_info()[source]#
Read Data variables metadata from JSON file and specifies static variable name sets listed above.
- _read_weights(weights)[source]#
Read sample weights from file or use specified DataFrame as weights or create empty DataFrame if None. NOTE: assumes weights are integers equal to 100 times the real weight.