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Lære Removing Duplicates | Data Cleaning
Preprocessing Data
course content

Kursinnhold

Preprocessing Data

Preprocessing Data

1. Data Exploration
2. Data Cleaning
3. Data Validation
4. Normalization & Standardization
5. Data Encoding

book
Removing Duplicates

To remove the duplicate rows, simply use function drop_duplicates(). To change the current dataframe, add inplace=True.

123
new_data = data.drop_duplicates() # data is not modified # or data.drop_duplicates(inplace=True) # data is modified
copy
Oppgave

Swipe to start coding

The planets dataset is given to you. Remove the duplicates and then check the new shape of dataframe. Compare it with the original shape.

Note that dataframe may have only distinct records, in this case, the shape will remain the same.

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 2. Kapittel 7
toggle bottom row

book
Removing Duplicates

To remove the duplicate rows, simply use function drop_duplicates(). To change the current dataframe, add inplace=True.

123
new_data = data.drop_duplicates() # data is not modified # or data.drop_duplicates(inplace=True) # data is modified
copy
Oppgave

Swipe to start coding

The planets dataset is given to you. Remove the duplicates and then check the new shape of dataframe. Compare it with the original shape.

Note that dataframe may have only distinct records, in this case, the shape will remain the same.

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 2. Kapittel 7
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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