🔵 Data Science · Lesson 40

Matplotlib से Data Visualization

Matplotlib से Data Visualization क्या है?

Matplotlib से Data Visualization ka matlab hai: Data visualization presents data using charts so patterns, trends and comparisons become easier to understand. Simple words me, ye topic practical Python programs likhne me direct use hota hai.

Is topic ko sirf definition ke liye nahi, balki showing marks trends jaise real examples ke liye practice karein.

यह क्यों सीखना जरूरी है?

Ye showing marks trends me kaam aata hai.
Ye comparing categories se bhi connected hai.
Isse aap code ka output aur errors better samajh paate hain.

Important Terms

Term	Meaning
plot	Graphical representation of data.
bar chart	Chart used to compare categories.
line chart	Chart used to show trends over time.
xlabel	xlabel is an important term in this topic.
ylabel	ylabel is an important term in this topic.

Syntax / Basic Pattern

Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.

Basic Pattern

import matplotlib.pyplot as plt
subjects = ["Maths", "Science", "English"]
marks = [88, 92, 84]
plt.bar(subjects, marks)
plt.title("Subject-wise Marks")
plt.xlabel("Subjects")
plt.ylabel("Marks")
plt.show()

Complete Example Program

Python – data-visualization-matplotlib.py

import matplotlib.pyplot as plt

subjects = ["Maths", "Science", "English"]
marks = [88, 92, 84]

plt.bar(subjects, marks)
plt.title("Subject-wise Marks")
plt.xlabel("Subjects")
plt.ylabel("Marks")
plt.show()

Expected Output

A bar chart will be displayed.

Program Explanation

import matplotlib.pyplot as plt imports ready-made features from a module/library.
subjects = ["Maths", "Science", "English"] stores a value in subjects.
marks = [88, 92, 84] stores a value in marks.
plt.bar(subjects, marks) performs the next step of the program logic.
plt.title("Subject-wise Marks") performs the next step of the program logic.
plt.xlabel("Subjects") performs the next step of the program logic.
plt.ylabel("Marks") performs the next step of the program logic.

Practical Uses

Showing marks trends.
Comparing categories.
Making dashboard charts.

Common Mistakes

Analysing data before checking missing values, duplicates and data types.
Changing original data without keeping a clean copy.
Creating charts without title, labels or explanation.

Practice Tasks

Program ko data-visualization-matplotlib.py file me type karke run karein.
Values change karke output compare karein.
showing marks trends par ek छोटा example banayen.
Logic ko apne words me 5 lines me likhein.

सारांश

Data Visualization with Matplotlib ko tab complete maanenge jab aap iska meaning, example, output aur practical use clearly explain kar saken.

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