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Pandas First Steps
course content

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

bookInserting a New Column

Let's explore the second technique for adding a column to a DataFrame. This approach utilizes the insert() method. Here's the syntax:

  • dataframe: The name of the existing DataFrame;
  • insert(): The method used for adding new columns;
  • column_index: The position where the new column will be inserted (keep in mind that indexing starts at 0);
  • column_name: The name for the new column;
  • [value_1, value_2, value_3]: The values that will populate the new column.

Now let's turn our attention to the countries DataFrame. We'll demonstrate how to add a new column named population, representing the populations of countries, right after the first column (country).


              
12345678

            
import pandas as pd
dataset = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(dataset)

countries.insert(1, 'population', [61399000, 75967000, 39244, 380200, 10380491, 5496000, 2424200])
print(countries)
copy

Note

A key benefit of the insert() method is that it allows you to specify the position of the new column within the DataFrame.

Task
test

Swipe to show code editor

  1. Using the dataset data, create the audi_cars DataFrame.
  2. Insert a column named 'price' between the year and fueltype columns. Use the .insert() method and populate it with the following values: [12500, 16500, 16800, 17300, 13900].

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Section 1. Chapter 8
toggle bottom row

bookInserting a New Column

Let's explore the second technique for adding a column to a DataFrame. This approach utilizes the insert() method. Here's the syntax:

  • dataframe: The name of the existing DataFrame;
  • insert(): The method used for adding new columns;
  • column_index: The position where the new column will be inserted (keep in mind that indexing starts at 0);
  • column_name: The name for the new column;
  • [value_1, value_2, value_3]: The values that will populate the new column.

Now let's turn our attention to the countries DataFrame. We'll demonstrate how to add a new column named population, representing the populations of countries, right after the first column (country).


              
12345678

            
import pandas as pd
dataset = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(dataset)

countries.insert(1, 'population', [61399000, 75967000, 39244, 380200, 10380491, 5496000, 2424200])
print(countries)
copy

Note

A key benefit of the insert() method is that it allows you to specify the position of the new column within the DataFrame.

Task
test

Swipe to show code editor

  1. Using the dataset data, create the audi_cars DataFrame.
  2. Insert a column named 'price' between the year and fueltype columns. Use the .insert() method and populate it with the following values: [12500, 16500, 16800, 17300, 13900].

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 8
toggle bottom row

bookInserting a New Column

Let's explore the second technique for adding a column to a DataFrame. This approach utilizes the insert() method. Here's the syntax:

  • dataframe: The name of the existing DataFrame;
  • insert(): The method used for adding new columns;
  • column_index: The position where the new column will be inserted (keep in mind that indexing starts at 0);
  • column_name: The name for the new column;
  • [value_1, value_2, value_3]: The values that will populate the new column.

Now let's turn our attention to the countries DataFrame. We'll demonstrate how to add a new column named population, representing the populations of countries, right after the first column (country).


              
12345678

            
import pandas as pd
dataset = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(dataset)

countries.insert(1, 'population', [61399000, 75967000, 39244, 380200, 10380491, 5496000, 2424200])
print(countries)
copy

Note

A key benefit of the insert() method is that it allows you to specify the position of the new column within the DataFrame.

Task
test

Swipe to show code editor

  1. Using the dataset data, create the audi_cars DataFrame.
  2. Insert a column named 'price' between the year and fueltype columns. Use the .insert() method and populate it with the following values: [12500, 16500, 16800, 17300, 13900].

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Let's explore the second technique for adding a column to a DataFrame. This approach utilizes the insert() method. Here's the syntax:

  • dataframe: The name of the existing DataFrame;
  • insert(): The method used for adding new columns;
  • column_index: The position where the new column will be inserted (keep in mind that indexing starts at 0);
  • column_name: The name for the new column;
  • [value_1, value_2, value_3]: The values that will populate the new column.

Now let's turn our attention to the countries DataFrame. We'll demonstrate how to add a new column named population, representing the populations of countries, right after the first column (country).


              
12345678

            
import pandas as pd
dataset = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(dataset)

countries.insert(1, 'population', [61399000, 75967000, 39244, 380200, 10380491, 5496000, 2424200])
print(countries)
copy

Note

A key benefit of the insert() method is that it allows you to specify the position of the new column within the DataFrame.

Task
test

Swipe to show code editor

  1. Using the dataset data, create the audi_cars DataFrame.
  2. Insert a column named 'price' between the year and fueltype columns. Use the .insert() method and populate it with the following values: [12500, 16500, 16800, 17300, 13900].

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 8
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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