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Lære Challenge: Dropping Null Values | Analyzing the Data
Pandas First Steps
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Kursinnhold

Pandas First Steps

Pandas First Steps

1. The Very First Steps
2. Reading Files in Pandas
3. Analyzing the Data

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Challenge: Dropping Null Values

If the dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna() method.

Oppgave

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You are given a DataFrame named wine_data.

  • Get the length of this DataFrame before removing null values and assign the result to the length_before variable.
  • Remove rows with null values and store the resulting DataFrame in wine_data.
  • Get the length of wine_data after removing null values and assign the result to the length_after variable.

Løsning

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Seksjon 3. Kapittel 8
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book
Challenge: Dropping Null Values

If the dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna() method.

Oppgave

Swipe to start coding

You are given a DataFrame named wine_data.

  • Get the length of this DataFrame before removing null values and assign the result to the length_before variable.
  • Remove rows with null values and store the resulting DataFrame in wine_data.
  • Get the length of wine_data after removing null values and assign the result to the length_after variable.

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 8
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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