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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

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Extracting Specific Data

Task

Swipe to start coding

Your task here is to practice. You need to extract specific data on cars. Follow the algorithm:

  1. Using the.between() method create the condition to extract data on cars where 'Price' is between 15 000(inclusive) and 20 000(exclusive).
  2. Using the .between() method create the condition to extract data on cars where 'Year' is between 2015(exclusive) and 2020(exclusive).
  3. Using the.isin() method create the condition to extract data on such values from 'Fuel_type' column: 'Plug-in Hybrid' and 'Hybrid' (the values are stored in the variable fuel_types).
  4. Unite three conditions using two and statements.

Solution

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SectionΒ 3. ChapterΒ 4
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book
Extracting Specific Data

Task

Swipe to start coding

Your task here is to practice. You need to extract specific data on cars. Follow the algorithm:

  1. Using the.between() method create the condition to extract data on cars where 'Price' is between 15 000(inclusive) and 20 000(exclusive).
  2. Using the .between() method create the condition to extract data on cars where 'Year' is between 2015(exclusive) and 2020(exclusive).
  3. Using the.isin() method create the condition to extract data on such values from 'Fuel_type' column: 'Plug-in Hybrid' and 'Hybrid' (the values are stored in the variable fuel_types).
  4. Unite three conditions using two and statements.

Solution

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!

SectionΒ 3. ChapterΒ 4
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