Source code for sgs.dataframe

"""
Dataframe
"""
from typing import Dict, List, Tuple, Union

import pandas as pd

from . import api
from . import search
from .ts import time_serie


[docs]def dataframe(ts_codes: Union[int, List, Tuple], start: str, end: str, strict: bool = False) -> pd.DataFrame: """ Creates a dataframe from a list of time serie codes. :param ts_codes: single code or list/tuple of time series codes. :param start: start date (DD/MM/YYYY). :param end: end date (DD/MM/YYYY). :param strict: boolean to enforce a strict date range. :return: Pandas dataframe. :rtype: pandas.DataFrame_ Usage:: >>> CDI = 12 >>> INCC = 192 # National Index of Building Costs >>> df = sgs.dataframe([CDI, INCC], start='02/01/2018', end='31/12/2018') >>> df.head() 12 192 2018-01-01 NaN 0.31 2018-01-02 0.026444 NaN 2018-01-03 0.026444 NaN 2018-01-04 0.026444 NaN 2018-01-05 0.026444 NaN """ if isinstance(ts_codes, int): ts_codes = [ts_codes] series = [] for code in ts_codes: ts = time_serie(code, start, end, strict) series.append(ts) df = pd.concat(series, axis=1) return df