Projects on Series +Matplotlib

 

✅ Project 1: Daily Temperature Analysis

Objective:

Analyze one week’s temperature and visualize the trend using a line chart.

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Step 1: Create a Series

import pandas as pd
import matplotlib.pyplot as plt

temperature = pd.Series(
    [28, 30, 32, 31, 29, 27, 26],
    index=["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
)
print(temperature)

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Step 2: Basic Analysis

print("Average Temperature:", temperature.mean())
print("Highest Temperature:", temperature.max())
print("Lowest Temperature:", temperature.min())

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Step 3: Plot Line Graph

temperature.plot(kind="line", marker="o")
plt.title("Weekly Temperature Trend")
plt.xlabel("Day")
plt.ylabel("Temperature (°C)")
plt.grid(True)
plt.show()

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What You Learn

• Creating Series

• Calculating mean/max/min

• Line plot in Matplotlib

• Working with labels

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✅ Project 2: Monthly Sales Comparison

Objective:

Analyze a shop’s monthly sales using a bar chart.

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Step 1: Create the Series

sales = pd.Series(
    [12000, 15000, 13500, 16000, 17500, 19000],
    index=["Jan", "Feb", "Mar", "Apr", "May", "Jun"]
)
print(sales)

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Step 2: Perform Operations

print("Total Sales:", sales.sum())
print("Average Sales:", sales.mean())
print("Month with Highest Sales:", sales.idxmax())

---

Step 3: Plot Bar Chart

sales.plot(kind="bar")
plt.title("Monthly Sales Report")
plt.xlabel("Month")
plt.ylabel("Sales (in Rupees)")
plt.show()