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import argparse | |
import pandas as pd | |
def gas_prices(input, filetype="csv"): | |
"""Getting gas prices by day and month | |
1. Read csv or excel (assuming extension csv is a true csv file format, it might be another validations in real scenario) | |
1.1 Datetime Index is for month | |
2. Write to csv | |
3. Group and sum by colum Henry... | |
4. Format index starting with day it's the cause I use another df | |
5. Write to csv | |
""" | |
print("Getting daily prices") | |
if input[0].name.lower().endswith('.csv'): | |
dfg = pd.read_csv(input[0], skiprows=4) | |
else: | |
dfg = pd.read_excel(input[0], skiprows=4) | |
dfg.index = pd.to_datetime(dfg["Day"], format='%m/%d/%Y') | |
dfg.to_csv('gas_byday.csv', index=False) | |
print("Getting monthly prices") | |
dfg_month = dfg['Henry Hub Natural Gas Spot Price Dollars per Million Btu'].resample('M').sum() | |
df = pd.DataFrame(dfg_month, index=dfg_month.index.strftime("%d/%m/%Y")) | |
df.to_csv('gas_bymonth.csv', index=True) | |
print("Done") | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser(description="Gas Prices Exporter", | |
epilog="Report errors a [email protected]") | |
parser.add_argument('-i', '--input', nargs='+', required=True, | |
type=argparse.FileType('r'), | |
help='Input file, only .csv, xls or xslx extensions allowed') | |
kwargs = vars(parser.parse_args()) | |
gas_prices(**kwargs) | |
# End of file | |
# vim: set ts=2 sw=2 noet: |
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