Problem Description

Acceptance Criteria

read and work with that csv file

Technical Details

the code i have but its made for windows not for online replit

from replit import db
import csv

Provides ways to work with large multidimensional arrays

import numpy as np

Allows for further data manipulation and analysis

import pandas as pd
from pandas_datareader import data as web # Reads stock data
import matplotlib.pyplot as plt # Plotting
import matplotlib.dates as mdates # Styling dates
#matplotlib inline

import datetime as dt # For defining dates
import mplfinance as mpf # Matplotlib finance

Function that gets a dataframe by providing a ticker and starting date

def save_to_csv_from_yahoo(ticker, syear, smonth, sday, eyear, emonth, eday):

# Defines the time periods to use
start = dt.datetime(syear, smonth, sday)
end = dt.datetime(eyear, emonth, eday)
 
# Reads data into a dataframe
df = web.DataReader(ticker, 'yahoo', start, end)
 
# Save data to a CSV file
# For Windows
df.to_csv('ticker.csv')
# For MacOS
#df.to_csv("/Users/Zen/Documents/Tutorials/Python for Finance/" + ticker + '.csv')
return df

#save_to_csv_from_yahoo('AMZN', 2020, 1, 1, 2021, 1, 1)

Link to Project

https://github.com/derekbanas/Python4Finance/blob/main/Python%20for%20Finance%201.ipynb