Aangepaste transformaties toepassen

Data transformatie met Polars

Liam Brannigan

Data Scientist & Polars Contributor

Venues-dataset

venues = pl.read_csv("venues.csv")
shape: (4, 6)
| business         | location    | type       | hygiene_rating | review | price |
| ---              | ---         | ---        | ---            | ---    | ---   |
| str              | str         | str        | i64            | f64    | i64   |
|------------------|-------------|------------|----------------|--------|-------|
| 7burgers         | Wakey Wakey | restaurant | 4              | 4.2    | 15    |
| Bang Bang Burger | Forest Rd.  | restaurant | 3              | 3.8    | 12    |
| Costa Coffee     | City Point  | café       | 5              | 4.5    | 8     |
| The Queens Head  | Denman St.  | bar        | 5              | 4.7    | 25    |
  • Taak: de kolom review rescalen
Data transformatie met Polars

Reviews rescalen

def rescale_review(x):
    return 2 * x




Data transformatie met Polars

Reviews rescalen

def rescale_review(x):
    return 2 * x

venues.with_columns(
    pl.col("review")
)
Data transformatie met Polars

Reviews rescalen

def rescale_review(x):
    return 2 * x

venues.with_columns(
    pl.col("review").map_elements(rescale_review)
)
shape: (4, 6)
| business         | location    | type       | hygiene_rating | review | price |
| ---              | ---         | ---        | ---            | ---    | ---   |
| str              | str         | str        | i64            | f64    | i64   |
|------------------|-------------|------------|----------------|--------|-------|
| 7burgers         | Wakey Wakey | restaurant | 4              | 8.4    | 15    |
| Bang Bang Burger | Forest Rd.  | restaurant | 3              | 7.6    | 12    |
| Costa Coffee     | City Point  | café       | 5              | 9.0    | 8     |
| The Queens Head  | Denman St.  | bar        | 5              | 9.4    | 25    |
Data transformatie met Polars

Specificeer return_dtype voor controle

venues.with_columns(
    pl.col("review").map_elements(
        rescale_review, return_dtype=pl.Float64
    )
)
shape: (4, 6)
| business         | location    | type       | hygiene_rating | review | price |
| ---              | ---         | ---        | ---            | ---    | ---   |
| str              | str         | str        | i64            | f64    | i64   |
|------------------|-------------|------------|----------------|--------|-------|
| 7burgers         | Wakey Wakey | restaurant | 4              | 8.4    | 15    |
| Bang Bang Burger | Forest Rd.  | restaurant | 3              | 7.6    | 12    |
| Costa Coffee     | City Point  | restaurant | 5              | 9.0    | 8     |
| The Queens Head  | Denman St.  | bar        | 5              | 9.4    | 25    |
Data transformatie met Polars

Polars-waarschuwing

PolarsInefficientMapWarning:

Expr.map_elements is aanzienlijk trager dan de native expressions-API.
Gebruik dit alleen als je je logica echt NIET anders kunt implementeren.
Vervang deze expressie...
  - pl.col("review").map_elements(rescale_review)
...door deze:
  + 2 * pl.col("review")
Data transformatie met Polars

Rescale reviews (native expressie)

venues.with_columns(
    (2 * pl.col("review")).alias("review")
)
shape: (4, 6)
| business         | location    | type       | hygiene_rating | review | price |
| ---              | ---         | ---        | ---            | ---    | ---   |
| str              | str         | str        | i64            | f64    | i64   |
|------------------|-------------|------------|----------------|--------|-------|
| 7burgers         | Wakey Wakey | restaurant | 4              | 8.4    | 15    |
| Bang Bang Burger | Forest Rd.  | restaurant | 3              | 7.6    | 12    |
| Costa Coffee     | City Point  | café       | 5              | 9.0    | 8     |
| The Queens Head  | Denman St.  | bar        | 5              | 9.4    | 25    |
Data transformatie met Polars

Kies het juiste gereedschap

$$

Native-expressies
  • Voorkeurskeuze
  • Snel
  • Geoptimaliseerd

$$

.map_elements()
  • Gebruik indien nodig
  • Leesbaar
  • Externe pakketten
Data transformatie met Polars

Locatietekst standaardiseren

  • Denman St. -> DENMAN STREET
  • Forest Rd. -> FOREST ROAD

$$

$$

$$

$$

$$

  • Taak: het formaat van de kolom location standaardiseren
Data transformatie met Polars

Locaties standaardiseren

venues.with_columns(
    pl.col("location")



)
Data transformatie met Polars

Locaties standaardiseren

venues.with_columns(
    pl.col("location")
    .str.replace_many(["St.", "Rd."], ["Street", "Road"])


)
Data transformatie met Polars

Locaties standaardiseren

venues.with_columns(
    pl.col("location")
    .str.replace_many(["St.", "Rd."], ["Street", "Road"])
    .str.to_uppercase()
    .alias("location_clean")
)
shape: (4, 7)
| business         | location    | ... | location_clean |
| ---              | ---         | --- | ---            |
| str              | str         | ... | str            |
|------------------|-------------|-----|----------------|
| 7burgers         | Wakey Wakey | ... | WAKEY WAKEY    |
| Bang Bang Burger | Forest Rd.  | ... | FOREST ROAD    |
| Costa Coffee     | City Point  | ... | CITY POINT     |
| The Queens Head  | Denman St.  | ... | DENMAN STREET  |
Data transformatie met Polars

Sla een expressie op in een variabele

standardize_locations_expr = (
    pl.col("location")
    .str.replace_many(["St.", "Rd."], ["Street", "Road"])
    .str.to_uppercase()
    .alias("location_clean")
)

type(standardize_locations_expr)
polars.Expr
Data transformatie met Polars

Herbruik de expressie

venues.with_columns(
    standardize_locations_expr
)
shape: (4, 7)
| business         | location    | ... | location_clean |
| ---              | ---         | --- | ---            |
| str              | str         | ... | str            |
|------------------|-------------|-----|----------------|
| 7burgers         | Wakey Wakey | ... | WAKEY WAKEY    |
| Bang Bang Burger | Forest Rd.  | ... | FOREST ROAD    |
| Costa Coffee     | City Point  | ... | CITY POINT     |
| The Queens Head  | Denman St.  | ... | DENMAN STREET  |
Data transformatie met Polars

Voeg een aangepaste expressiemethode toe

def standardize(input):





Data transformatie met Polars

Voeg een aangepaste expressiemethode toe

def standardize(input):
    return (
        input
        .str.replace_many(["St.", "Rd."], ["Street", "Road"])
        .str.to_uppercase()
    )
Data transformatie met Polars

Voeg een aangepaste expressiemethode toe

def standardize(input):
    return (
        input
        .str.replace_many(["St.", "Rd."], ["Street", "Road"])
        .str.to_uppercase()
    )

pl.Expr.standardize = standardize
Data transformatie met Polars

Gebruik de aangepaste methode

restaurants.with_columns(
    pl.col("address").standardize().alias("address_clean")
)
shape: (4, 7)
| business         | address     | ... | address_clean  |
| ---              | ---         | --- | ---            |
| str              | str         | ... | str            |
|------------------|-------------|-----|----------------|
| 7burgers         | Wakey Wakey | ... | WAKEY WAKEY    |
| Bang Bang Burger | Forest Rd.  | ... | FOREST ROAD    |
| Costa Coffee     | City Point  | ... | CITY POINT     |
| The Queens Head  | Denman St.  | ... | DENMAN STREET  |
Data transformatie met Polars

Laten we oefenen!

Data transformatie met Polars

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