Python Pandas data date match&merge
Project details
Brief summary in the data attached.
Provided is stock data with dates and close price, the dates are trading days during the last 15 years.
The fundamental features like profit in financial report and monthly revenue report come in different format.
Find the closest available date according to the criteria that matches an available trading day in the price_close.pickle.
Add the month_revenue and profit as an additional column in the price_close df, fill the last value for dates in between, but again, only fill in for the available trading days.
Delivery is in jupyter notebook for future data processing.
Awarded to:
Bac N.
(5.0)
Project budget: $100 USD
budget limits: $30-250 USD
number of bids: 31
average bids: $139
Awarded to:
Bac N.
(5.0)
Project budget: $100 USD
budget limits: $30-250 USD
number of bids: 31
average bids: $139
Project details
Brief summary in the data attached.
Provided is stock data with dates and close price, the dates are trading days during the last 15 years.
The fundamental features like profit in financial report and monthly revenue report come in different format.
Find the closest available date according to the criteria that matches an available trading day in the price_close.pickle.
Add the month_revenue and profit as an additional column in the price_close df, fill the last value for dates in between, but again, only fill in for the available trading days.
Delivery is in jupyter notebook for future data processing.
Provided is stock data with dates and close price, the dates are trading days during the last 15 years.
The fundamental features like profit in financial report and monthly revenue report come in different format.
Find the closest available date according to the criteria that matches an available trading day in the price_close.pickle.
Add the month_revenue and profit as an additional column in the price_close df, fill the last value for dates in between, but again, only fill in for the available trading days.
Delivery is in jupyter notebook for future data processing.
Skills: Data ProcessingPandasPython
