🎯 Projects with Python

 

🎯 1. Temperature Chart Project

✔ Goal

Plot daily temperatures for one week.

✔ Code

import matplotlib.pyplot as plt

days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
temp = [30, 32, 31, 29, 35, 36, 34]

plt.figure(figsize=(8, 4))
plt.plot(days, temp, marker='o')
plt.title("Weekly Temperature Chart")
plt.xlabel("Days")
plt.ylabel("Temperature (°C)")
plt.grid(True)
plt.show()

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🎯 2. Student Marks Bar Chart

✔ Goal

Show marks of 5 students using a bar graph.

✔ Code

import matplotlib.pyplot as plt

students = ["A", "B", "C", "D", "E"]
marks = [78, 85, 90, 70, 88]

plt.figure(figsize=(8, 4))
plt.bar(students, marks)
plt.title("Student Marks Comparison")
plt.xlabel("Students")
plt.ylabel("Marks")
plt.show()

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🎯 3. Pie Chart of Mobile Brands Market Share

✔ Goal

Display percentage of mobile brands.

✔ Code

import matplotlib.pyplot as plt

brands = ["Samsung", "Apple", "Xiaomi", "OnePlus"]
share = [30, 25, 20, 25]

plt.figure(figsize=(6, 6))
plt.pie(share, labels=brands, autopct="%1.1f%%")
plt.title("Mobile Market Share")
plt.show()

---

🎯 4. Line Chart of Monthly Expenses

✔ Goal

Visualize how personal monthly expenses change.

✔ Code

import matplotlib.pyplot as plt

months = ["Jan","Feb","Mar","Apr","May","Jun"]
expense = [12000, 14000, 13000, 15000, 16000, 15500]

plt.figure(figsize=(10,4))
plt.plot(months, expense, marker='o')
plt.title("Monthly Expense Trend")
plt.xlabel("Months")
plt.ylabel("Expense (INR)")
plt.grid(True)
plt.show()

---

🎯 5. Scatter Plot for Study Hours vs Marks

✔ Goal

Show if more study hours leads to more marks.

✔ Code

import matplotlib.pyplot as plt

study_hours = [1, 2, 3, 4, 5, 6, 7]
marks = [50, 55, 60, 65, 70, 80, 90]

plt.figure(figsize=(7,5))
plt.scatter(study_hours, marks)
plt.title("Study Hours vs Marks")
plt.xlabel("Study Hours")
plt.ylabel("Marks")
plt.show()

---

🎯 6. Project: Sales Analysis Chart

✔ Goal

Plot sales data for 6 months.

✔ Code

import matplotlib.pyplot as plt

months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun"]
sales = [10000, 12000, 15000, 14000, 17000, 18000]

plt.figure(figsize=(9,4))
plt.bar(months, sales)
plt.title("Monthly Sales Analysis")
plt.xlabel("Months")
plt.ylabel("Sales Amount")
plt.show()

---

🎯 7. Histogram of Student Ages

✔ Goal

Plot distribution of ages.

✔ Code

import matplotlib.pyplot as plt

ages = [17,18,18,19,19,20,17,18,21,22,19,18]

plt.figure(figsize=(7,4))
plt.hist(ages, bins=5)
plt.title("Age Distribution of Students")
plt.xlabel("Age")
plt.ylabel("Frequency")
plt.show()

---

🎯 8. Covid Cases Visualization

✔ Goal

Plot daily covid cases trend.

✔ Code

import matplotlib.pyplot as plt

days = [1,2,3,4,5,6,7]
cases = [100, 150, 200, 180, 220, 300, 350]

plt.figure(figsize=(10,4))
plt.plot(days, cases, marker='o')
plt.title("COVID-19 Cases Trend")
plt.xlabel("Day")
plt.ylabel("Cases")
plt.grid(True)
plt.show()

---

🎯 9. Simple Sine Wave Plot

✔ Goal

Plot a mathematical sine wave.

✔ Code

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

plt.figure(figsize=(8,4))
plt.plot(x, y)
plt.title("Sine Wave")
plt.xlabel("X")
plt.ylabel("sin(x)")
plt.grid(True)
plt.show()

---

🎯 10. Budget Tracker Bar + Line Mix

✔ Goal

Show income vs expenses together.

✔ Code

import matplotlib.pyplot as plt

months = ["Jan","Feb","Mar","Apr"]
income = [30000, 35000, 32000, 37000]
expense = [20000, 25000, 26000, 28000]

plt.figure(figsize=(10,5))
plt.bar(months, income)
plt.plot(months, expense, marker='o')
plt.title("Income & Expense Comparison")
plt.xlabel("Months")
plt.ylabel("Amount (INR)")
plt.show()