Stock Analysis.py

#!/usr/bin/env python
# coding: utf-8

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#Import Libraries 
import pandas as pd
import numpy as num
import matplotlib as plot
import seaborn as sea


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#download csv on notebook
df_big_tech_companies = pd.read_csv(r"big_tech_companies.csv")


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df_big_tech_companies.shape


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df_big_tech_stock_prices = pd.read_csv(r"big_tech_stock_prices.csv")


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df_big_tech_stock_prices.shape


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df_big_tech_stock_prices.info


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#top 5 rows displayed 
df_big_tech_stock_prices.head


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df_big_tech_stock_prices.columns.tolist()


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#checking date range for the data by using min and max functions 
min_date = df_big_tech_stock_prices['date'].min()
max_date = df_big_tech_stock_prices['date'].max()

print("Minimum date:", min_date)
print("Maximum date:", max_date)


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