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Advanced Techniques in pandas
course content

Course Content

Advanced Techniques in pandas

Advanced Techniques in pandas

1. Getting Familiar With Indexing and Selecting Data
Outputting Columns by TitleOutputting Rows by IndexSelecting Specific Rows and ColumnsLearning More About IndexationGetting Familiar With lambda FunctionsExpanding Functionality of the .iloc[] Attribute
2. Dealing With Conditions
Setting ConditionSelecting Data Based on ConditionDealing With Several ConditionsMaking Your Code BeautifulConditions Quiz
3. Extracting Data
Is Data in ...?Combining Your KnowledgeBetween MethodExtracting Specific DataFinding the Smallest Values of a ColumnFinding the Largest Values of a ColumnFinding the Correlation
4. Aggregating Data
Getting Familiar With the .groupby() MethodGrouping by Several ColumnsComplicated GroupingAdvanced GroupingDealing With Pivot TablesCreating a Pivot Table
5. Preprocessing Data
Checking for Missing ValuesCalculating the Number of Missing ValuesWhat Will We Do With the NaN Values?How to Delete Only NaN Values?Filling In the Missing ValuesManaging Categorical VariablesChecking the Column TypeManaging an Incorrect ColumnRenaming the Column

bookCreating a Pivot Table

Task

Your task here is to practice using pivot tables. Depending on the airline and the airport from which the flight started, calculate the number of delays and the minimum and maximum length of the flight. Follow the algorithm:

Create a pivot table:

  • Assign the columns 'Airline' and 'AirportFrom' to the index argument;
  • Assign the columns 'Delay' and 'Length' to the values argument (in this order);
  • Using the aggfunc argument, find the minimum and maximum of the 'Length', and count the number of values in the 'Delay' column.

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Section 4. Chapter 6
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bookCreating a Pivot Table

Task

Your task here is to practice using pivot tables. Depending on the airline and the airport from which the flight started, calculate the number of delays and the minimum and maximum length of the flight. Follow the algorithm:

Create a pivot table:

  • Assign the columns 'Airline' and 'AirportFrom' to the index argument;
  • Assign the columns 'Delay' and 'Length' to the values argument (in this order);
  • Using the aggfunc argument, find the minimum and maximum of the 'Length', and count the number of values in the 'Delay' column.

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 4. Chapter 6
toggle bottom row

bookCreating a Pivot Table

Task

Your task here is to practice using pivot tables. Depending on the airline and the airport from which the flight started, calculate the number of delays and the minimum and maximum length of the flight. Follow the algorithm:

Create a pivot table:

  • Assign the columns 'Airline' and 'AirportFrom' to the index argument;
  • Assign the columns 'Delay' and 'Length' to the values argument (in this order);
  • Using the aggfunc argument, find the minimum and maximum of the 'Length', and count the number of values in the 'Delay' column.

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!

Task

Your task here is to practice using pivot tables. Depending on the airline and the airport from which the flight started, calculate the number of delays and the minimum and maximum length of the flight. Follow the algorithm:

Create a pivot table:

  • Assign the columns 'Airline' and 'AirportFrom' to the index argument;
  • Assign the columns 'Delay' and 'Length' to the values argument (in this order);
  • Using the aggfunc argument, find the minimum and maximum of the 'Length', and count the number of values in the 'Delay' column.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 4. Chapter 6
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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