charting.py

# Reading a CSV and creating a chart
import pandas as pd
import matplotlib.pyplot as plt # Provides us functions to create the visuals
# EOD Pricing for 12 instruments

data = pd.read_csv('/content/tr_eikon_eod_data.csv', #File location
                   index_col=0, # First column treated as an index
                   parse_dates=True) # Indicies are Dates

plt.plot(data['AAPL.O'])

plt.ylabel('Price $')
plt.xlabel('Year')
plt.title('Apple Stock Price')

# Stle String Samples
plt.plot(y.cumsum(), 'b', lw=1.5) # Plots the data as the line in blue with line width of 1.5
plt.plot(y.cumsum(), 'ro') # See API for details of format strings: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html