What is Pandas?

Pandas is a Python library for data analysis, providing DataFrame and Series data structures.

What is pandas?

pandas is the standard Python library for working with tabular data. It has two core structures:

Series: a single labelled column.
DataFrame: a table made of named columns.

import pandas as pd
s = pd.Series([3, 5, 8], name="puan")
print(s.mean())   # 5.333...

Reading CSV, filling missing values, grouping and so on are all a few lines in pandas; then the data becomes a NumPy array via df.values and is given to the model.

Reading CSV

Real data usually comes from a file:

df = pd.read_csv("evler.csv")
print(df.shape)            # (rows, columns)
print(df.columns.tolist()) # column names
df.to_csv("temiz.csv", index=False)

index=False stops the row numbers from being written to the file as a separate column.

Exercise Series mean

Create a pd.Series from the puan list; print its mean and its maximum separated by a space.

Show example solution

import pandas as pd

puan = [70, 85, 90, 75]

s = pd.Series(puan)
print(s.mean(), s.max())

Test yourself

What type is a single column of a DataFrame?
- ndarray
- Series
- list
- dict
Show answer

Series — df["column"] returns a Series; a Series carries a NumPy array inside.

Read the CSV file.

df = pd.____("veri.csv")

Show answer

df = pd.read_csv("veri.csv")

Match the structures.

Series

Single column
DataFrame

Table
read_csv

Reading from a file
to_csv

Writing to a file

Next lesson: Creating a DataFrame

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