Professor Dark's Massive Python

Code below:

pip install yfinance

pip install plotly

import yfinance as yf
import matplotlib.pyplot as plt
import plotly.express as px
import plotly.graph_objects as go
import numpy as np

ticker = yf.Ticker('AAPL')

# show balance sheet
balance = ticker.balance_sheet
balance = balance.T

balance['Current Ratio'] = np.divide(balance['Total Current Assets'], balance['Total Current Liabilities'])
balance['Working Capital'] = np.subtract(balance['Total Current Assets'], balance['Total Current Liabilities'])
balance['Debt to Equity'] = np.divide(balance['Total Liab'], balance['Total Stockholder Equity'])

balance.head(len(balance))

# show financial statement
financials = ticker.financials
financials = financials.T

financials['Operating Margin'] = np.divide(financials['Operating Income'], financials['Total Revenue'])

financials.head(len(financials))

plt.plot(balance['Current Ratio'])
plt.title('Current Ratio for the Past 4 Years')
plt.xticks(rotation = 45)
plt.xlabel('Date')
plt.ylabel('Current Ratio')

plt.plot(balance['Working Capital'])
plt.title('Working Capital for the Past 4 Years')
plt.xticks(rotation = 45)
plt.xlabel('Date')
plt.ylabel('Working Capital')

plt.plot(balance['Debt to Equity'])
plt.title('Debt to Equity Ratio for the Past 4 Years')
plt.xticks(rotation = 45)
plt.xlabel('Date')
plt.ylabel('Debt to Equity Ratio')

plt.plot(financials['Operating Margin'])
plt.title('Operating Margin for the Past 4 Years')
plt.xticks(rotation = 45)
plt.xlabel('Date')
plt.ylabel('Operating Margin')

# share price
old = ticker.history(start='2018-09-29', end='2021-09-25')
#old.head()
old = old.reset_index()
for i in ['Open', 'High', 'Close', 'Low']:
old[i] = old[i].astype('float64')

fig = px.line(old, x='Date', y='Open', title='Apple Stock Prices')
fig.show()