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

Kursinnhold

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

Oppgave

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.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 4
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book
Extracting Specific Data

Oppgave

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.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 4
Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Vi beklager at noe gikk galt. Hva skjedde?
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