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Extracting Specific Data | Extracting Data
Advanced Techniques in pandas
course content

Course Content

Advanced Techniques in pandas

Advanced Techniques in pandas

1. Getting Familiar With Indexing and Selecting Data
2. Dealing With Conditions
3. Extracting Data
4. Aggregating Data
5. Preprocessing Data

book
Extracting Specific Data

Task
test

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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.

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Section 3. Chapter 4
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book
Extracting Specific Data

Task
test

Swipe to show code editor

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.

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