Pandas: First Steps

Cursusinhoud

Pandas: First Steps

Pandas: First Steps

1. Getting Started

Introduction to Pandas Series Task: Coffee Orders Series Task: Barista's Favorites Coffees Accessing Elements from a Series Task: Drink of the Hour Task - Signature Drinks Task: Mid-Morning Specials Task - Fetching the Mid-Shift Drinks Operations over Series Task: Modifying a single element Task: Modifying the Entire Series Task: Modifying Part of a Series Task: Processing the Restock of Inventory

2. Basics of Dataframes

What is a DataFrame?Task: Creating a Table of Popular Coffee Drinks Task: Tracking Coffee Bean Deliveries Task: Weekly Coffee Sales Report Adding new Columns Task: Finding Total Sales Per Drink Task: Calculating Total Sales Revenue Adding new Rows Task: Adding a New Employee to the Café Team Task: Adding New Coffee Types to the Café Menu

3. Fetching Data from DataFrames

The `head()` Method Task: Preview the Coffee Menu The `tail()` Method Task: Finding the Most Expensive Coffees The `sample()` Method Task: Randomly Select Customer Orders for Quality Check Extracting Multiple Columns Task: Extracting the Total Profit Task: Extract Sales Data For Analysis The `iloc` Property Task: Access Sales Data at Café Pandasia - Part 1 Task: Access Sales Data at Café Pandasia - Part 2 Task: Access Sales Data at Café Pandasia - Part 3

The `head()` Method

The head() method is used to fetch the first few rows of a DataFrame.

By default, it fetches the first 5 rows, but you can specify how many rows you want using the n named paramter.

Syntax:


python

Example:


              123456789101112131415
            
import pandas as pd

# Create a simple DataFrame
data = {
    'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Eva', 'Frank'],
    'Age': [24, 30, 22, 29, 25, 28]
}

df = pd.DataFrame(data)

print('Show the first 5 rows:')
print(df.head())

print('Show the first 3 rows:')
print(df.head(3))

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Sectie 3. Hoofdstuk 1

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Cursusinhoud

Pandas: First Steps

Pandas: First Steps

1. Getting Started

Introduction to Pandas Series Task: Coffee Orders Series Task: Barista's Favorites Coffees Accessing Elements from a Series Task: Drink of the Hour Task - Signature Drinks Task: Mid-Morning Specials Task - Fetching the Mid-Shift Drinks Operations over Series Task: Modifying a single element Task: Modifying the Entire Series Task: Modifying Part of a Series Task: Processing the Restock of Inventory

2. Basics of Dataframes

What is a DataFrame?Task: Creating a Table of Popular Coffee Drinks Task: Tracking Coffee Bean Deliveries Task: Weekly Coffee Sales Report Adding new Columns Task: Finding Total Sales Per Drink Task: Calculating Total Sales Revenue Adding new Rows Task: Adding a New Employee to the Café Team Task: Adding New Coffee Types to the Café Menu

3. Fetching Data from DataFrames

The `head()` Method Task: Preview the Coffee Menu The `tail()` Method Task: Finding the Most Expensive Coffees The `sample()` Method Task: Randomly Select Customer Orders for Quality Check Extracting Multiple Columns Task: Extracting the Total Profit Task: Extract Sales Data For Analysis The `iloc` Property Task: Access Sales Data at Café Pandasia - Part 1 Task: Access Sales Data at Café Pandasia - Part 2 Task: Access Sales Data at Café Pandasia - Part 3

The `head()` Method

The head() method is used to fetch the first few rows of a DataFrame.

By default, it fetches the first 5 rows, but you can specify how many rows you want using the n named paramter.

Syntax:


python

Example:


              123456789101112131415
            
import pandas as pd

# Create a simple DataFrame
data = {
    'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Eva', 'Frank'],
    'Age': [24, 30, 22, 29, 25, 28]
}

df = pd.DataFrame(data)

print('Show the first 5 rows:')
print(df.head())

print('Show the first 3 rows:')
print(df.head(3))

Was alles duidelijk?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 1

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