Chapter_19

Chapter 19: Pandas (Python Data Analysis Library)

📌 What is Pandas?

• Pandas is a data analysis and manipulation library.
• Provides two main data structures:
  • Series → 1D labeled array
  • DataFrame → 2D labeled table

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📥 Installation

pip install pandas

🔹 Creating Series

import pandas as pd

s = pd.Series([10, 20, 30, 40], index=["a", "b", "c", "d"])
print(s)

🔹 Creating DataFrame

import pandas as pd

data = {"Name":["Amit","Rahul","Priya"], "Age":[21,22,20]}
df = pd.DataFrame(data)
print(df)

🔹 Useful DataFrame Methods

head(), tail(), shape, info(), describe()

Selecting data: df["col"], df.loc[], df.iloc[]

Filtering: df[df["Age"] > 21]

Adding new column: df["Marks"] = [85,90,88]

Drop column: df.drop("Age", axis=1, inplace=True)

Read/Write:

pd.read_csv("file.csv")

df.to_csv("file.csv", index=False)