Show Cumulative Sales Using a Line Plot
Description:
This code shows how to calculate and plot cumulative sales over time using a line chart.
Explanation:
-
Daily sales are given in a list.
-
Using
cumsum(), we calculate running totals of sales — this is called cumulative sales. -
A line plot is created to show how sales grow over time.
-
This helps track overall progress instead of just daily numbers.
Program:
import pandas as pd
import matplotlib.pyplot as plt
# Sample daily sales data
data = {
'Date': pd.date_range(start='2024-01-01', periods=7, freq='D'),
'Sales': [100, 120, 90, 140, 160, 130, 150]
}
df = pd.DataFrame(data)
# Calculate cumulative sales
df['CumulativeSales'] = df['Sales'].cumsum()
# Plot cumulative sales
plt.figure(figsize=(8, 5))
plt.plot(df['Date'], df['CumulativeSales'], marker='o', color='green', label='Cumulative Sales')
# Formatting
plt.title('Cumulative Sales Over Time')
plt.xlabel('Date')
plt.ylabel('Cumulative Sales')
plt.xticks(rotation=45)
plt.grid(True)
plt.legend()
plt.tight_layout()
# Show the plot
plt.show()
Output:
