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Plots.py
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Plots.py
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import matplotlib.pyplot as plt
import pandas as pd
import csv
# Read CSV into pandas dataframe
data = pd.read_csv(r'Scraped Data\Satozim -iPhone- Prices.csv')
# Shorten Product Names
stripped_names = []
file = r'Scraped Data\Satozim -iPhone- Prices.csv'
with open(file, 'r') as file_open:
heading = next(file_open)
csv = csv.reader(file_open)
for row in csv:
stripped_name = row[1].replace('Apple ', '').strip()
stripped_names.append(stripped_name)
file_open.close()
def Models_X_Prices():
# Extract product names and prices
product_names = stripped_names
prices = data['Price']
# Create a horizontal bar plot
fig, ax = plt.subplots(figsize=(10, 6))
ax.barh(product_names, prices, color='skyblue')
# Customize the plot
ax.set_xlabel('Price (ZAR)', fontsize=12, fontweight='bold')
ax.set_ylabel('Product Name', fontsize=12, fontstyle='italic')
ax.set_title('iPhone Prices vs Models', fontsize=14, fontweight='bold')
ax.grid(axis='x', linestyle='--', alpha=0.7)
# Rotate y-axis labels for better visibility
plt.yticks(rotation=45)
# Save the graph as an image
plt.savefig(r'plots\Models_X_Prices.png')
# Show the plot (optional)
plt.tight_layout()
plt.show()