Created
October 25, 2018 09:00
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""" | |
Usage: parse_data.py --company=<company> | |
""" | |
import os | |
import tarfile | |
import pandas as pd | |
from pandas import errors as pd_errors | |
from functools import reduce | |
from docopt import docopt | |
args = docopt(doc=__doc__, argv=None, | |
help=True, version=None, | |
options_first=False) | |
years = [2015, 2016, 2017] | |
company = args['--company'] | |
# Getting the data files list | |
data_files_list = [] | |
for year in years: | |
year_directory = 'data/{year}'.format(year=year) | |
for file in os.listdir(year_directory): | |
data_files_list.append('{year_directory}/{file}'.format(year_directory=year_directory, file=file)) | |
def parse_data(file_name, company_symbol): | |
""" | |
Returns data for the corresponding company | |
:param file_name: name of the tar file | |
:param company_symbol: company symbol | |
:type file_name: str | |
:type company_symbol: str | |
:return: dataframe for the corresponding company data | |
:rtype: pd.DataFrame | |
""" | |
tar = tarfile.open(file_name) | |
try: | |
price_report = pd.read_csv(tar.extractfile('prices.csv')) | |
company_price_data = price_report[price_report['symbol'] == company_symbol] | |
return company_price_data | |
except (KeyError, pd_errors.EmptyDataError): | |
return pd.DataFrame() | |
# Getting the complete data for a given company | |
company_data = reduce(lambda df, file_name: df.append(parse_data(file_name, company)), | |
data_files_list, | |
pd.DataFrame()) | |
company_data = company_data.sort_values(by=['date']) | |
# Create folder for company data if does not exists | |
if not os.path.exists('data/company_data'): | |
os.makedirs('data/company_data') | |
# Write data to a CSV file | |
company_data.to_csv('data/company_data/{company}.csv'.format(company=company), | |
columns=['date', 'open', 'high', 'low', 'close', 'volume', 'adj_close'], | |
index=False) |
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