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Pandas First Steps
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Course Content

Pandas First Steps

Pandas First Steps

1. The Very First Steps
What is pandas? SeriesCreating a SeriesDataFrameSeries QuizCreating a DataFrame QuizAdding a New ColumnInserting a New ColumnDeleting a Row/Column Matching the FunctionsWorking with ColumnsExtracting Columns Quiziloc BasicsUsing iloc
2. Reading Files in Pandas
CSV FilesTXT FilesWorking with Files QuizAccessing the Columns
3. Analyzing the Data
Viewing the DataHead QuizHead and Tail QuizInformation on the DataColumn Names and Data TypesFinding Null ValuesIdentifying Null Values QuizDropping Null ValuesFilling Null ValuesNull Values QuizDescribing the DataCalculating Descriptive Statisticsmax() and min()Statistical Operations Quizsum() and count()Unique Values

CSV Files

pandas is the go-to library for data analysis and manipulation, and one of its key features is its ability to read and write various file types, including CSV files. Functions like read_csv() and to_csv() come in handy for dealing with CSV data.

To load a CSV file into a DataFrame, use the following:


              
12345

            
# Load the CSV into a `DataFrame`
import pandas as pd

data_frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/Salary+Dataset.csv')
print(data_frame)

Just to clarify, we've imported the CSV file as a DataFrame using the pd.read_csv() function.

Note

Make sure that the dataset link is wrapped in quotation marks.

Let's move on to the task.

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Everything was clear?

Section 2. Chapter 1
toggle bottom row

CSV Files

pandas is the go-to library for data analysis and manipulation, and one of its key features is its ability to read and write various file types, including CSV files. Functions like read_csv() and to_csv() come in handy for dealing with CSV data.

To load a CSV file into a DataFrame, use the following:


              
12345

            
# Load the CSV into a `DataFrame`
import pandas as pd

data_frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/Salary+Dataset.csv')
print(data_frame)

Just to clarify, we've imported the CSV file as a DataFrame using the pd.read_csv() function.

Note

Make sure that the dataset link is wrapped in quotation marks.

Let's move on to the task.

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Everything was clear?

Section 2. Chapter 1
toggle bottom row

CSV Files

pandas is the go-to library for data analysis and manipulation, and one of its key features is its ability to read and write various file types, including CSV files. Functions like read_csv() and to_csv() come in handy for dealing with CSV data.

To load a CSV file into a DataFrame, use the following:


              
12345

            
# Load the CSV into a `DataFrame`
import pandas as pd

data_frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/Salary+Dataset.csv')
print(data_frame)

Just to clarify, we've imported the CSV file as a DataFrame using the pd.read_csv() function.

Note

Make sure that the dataset link is wrapped in quotation marks.

Let's move on to the task.

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Everything was clear?

pandas is the go-to library for data analysis and manipulation, and one of its key features is its ability to read and write various file types, including CSV files. Functions like read_csv() and to_csv() come in handy for dealing with CSV data.

To load a CSV file into a DataFrame, use the following:


              
12345

            
# Load the CSV into a `DataFrame`
import pandas as pd

data_frame = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/Salary+Dataset.csv')
print(data_frame)

Just to clarify, we've imported the CSV file as a DataFrame using the pd.read_csv() function.

Note

Make sure that the dataset link is wrapped in quotation marks.

Let's move on to the task.

Task

  1. Read the CSV file into a DataFrame.
  2. Display the contents on your screen.

You can download the dataset in CSV format from the following link: CSV file

The actual link is: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/a43d24b6-df61-4e11-9c90-5b36552b3437/wine.csv

Section 2. Chapter 1
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