Lab_BD(8/1/25)

import pandas as pd
import matplotlib.pyplot as plt

file_path = 'TESLA.csv'
df = pd.read_csv(file_path)
start_index = 0
df_subset = df.iloc[start_index:start_index+10]

# df_subset['Date'] = pd.to_datetime(df_subset['Date'])
df_subset.loc[:, 'Date'] = pd.to_datetime(df_subset['Date'], format='%m/%d/%y')
x = df_subset['Date']
y = df_subset['Open']
# plt.bar(x, y, color='g')
plt.plot(x, y, marker='o', linestyle='--', color='b')


plt.xlabel('Date')
plt.ylabel('Open Price in $')
plt.title('Open Prices for the First 10 Days of Tesla Stock Market')

plt.xticks(rotation=45)
plt.tight_layout()
plt.grid()
plt.show()