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Pandas First Steps
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Pandas First Steps

Pandas First Steps

1. The Very First Steps
What is pandas? SeriesChallenge: Creating a SeriesDataFrameQuiz: Creating a SeriesQuiz: Creating a DataFrameAdding a New ColumnInserting a New ColumnDeleting a Row/Column Quiz: Matching the FunctionsWorking with ColumnsQuiz: Extracting Columnsiloc BasicsChallenge: Using iloc
2. Reading Files in Pandas
CSV FilesTXT FilesQuiz: Working with FilesQuiz: Accessing the Columns
3. Analyzing the Data
Viewing the DataQuiz: Using HeadQuiz: Head, Tail, and SampleExploring the DatasetColumn Names and Data TypesFinding Null ValuesQuiz: Identifying Null ValuesChallenge: Dropping Null ValuesChallenge: Filling Null ValuesQuiz: Null ValuesDescribing the Datamax() and min()Quiz: Statistical Operationssum() and count()Unique Values

book
Deleting a Row/Column

At times, certain columns may not provide valuable information, making it advantageous to remove them. The pandas library offers the drop() method for this purpose.

python
  • index: specifies the row indexes to be deleted (used when axis=0);
  • columns: identifies the column names to be deleted (used when axis=1);
  • axis: choose whether to remove labels from the rows (0) or columns (1). The default is 0.

We'll start by examining the DataFrame:


              
1234567

            
import pandas as pd 

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : [None, None, 'Europe', None, 'Europe', None, 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(countries_data)
print(countries)
copy

We notice that the 'continent' column contains numerous missing values, making it less informative. Consequently, we'll remove it.


              
12345678

            
import pandas

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : [None, None, 'Europe', None, 'Europe', None, 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pandas.DataFrame(countries_data)
countries = countries.drop(columns = ['continent'],axis=1)
print(countries)
copy
Opgave

Swipe to start coding

You are given a DataFrame named audi_cars.

  • Remove the 'capital' column and save the resulting DataFrame in the audi_cars variable.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 9
toggle bottom row

book
Deleting a Row/Column

At times, certain columns may not provide valuable information, making it advantageous to remove them. The pandas library offers the drop() method for this purpose.

python
  • index: specifies the row indexes to be deleted (used when axis=0);
  • columns: identifies the column names to be deleted (used when axis=1);
  • axis: choose whether to remove labels from the rows (0) or columns (1). The default is 0.

We'll start by examining the DataFrame:


              
1234567

            
import pandas as pd 

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : [None, None, 'Europe', None, 'Europe', None, 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(countries_data)
print(countries)
copy

We notice that the 'continent' column contains numerous missing values, making it less informative. Consequently, we'll remove it.


              
12345678

            
import pandas

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : [None, None, 'Europe', None, 'Europe', None, 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pandas.DataFrame(countries_data)
countries = countries.drop(columns = ['continent'],axis=1)
print(countries)
copy
Opgave

Swipe to start coding

You are given a DataFrame named audi_cars.

  • Remove the 'capital' column and save the resulting DataFrame in the audi_cars variable.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 9
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
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