string casing functions #2550
Description
Is your feature request related to a problem? Please describe.
Sometimes I have some columns or other text that is in one casing, such as camelCase and I want to apply a transformation to convert that to another casing, such as snake_case
Describe the solution you'd like
df = daft.from_pydict({'text': ['helloWorld', 'hello-world', 'HelloWorld']})
df.with_columns(
camel_case = col('text').str.to_camel_case(),
upper_camel_case = col('text').str.to_upper_camel_case(),
snake_case = col('text').str.to_snake_case(),
upper_snake_case = col('text').str.to_upper_snake_case(),
kebab_case = col('text').str.to_kebab_case(),
upper_kebab_case = col('text').str.to_upper_kebab_case(),
)
df = daft.from_pydict({'text': ['helloWorld', 'hello-world', 'HelloWorld']})
df.with_columns(
camel_case = col('text').str.to_camel_case(),
upper_camel_case = col('text').str.to_upper_camel_case(),
snake_case = col('text').str.to_snake_case(),
upper_snake_case = col('text').str.to_upper_snake_case(),
kebab_case = col('text').str.to_kebab_case(),
upper_kebab_case = col('text').str.to_upper_kebab_case(),
title_case = col('text').str.to_title_case(),
)
# expected
expected = {
'camel_case': ['helloWorld', 'helloWorld', 'helloWorld'],
'upper_camel_case': ['HelloWorld', 'HelloWorld', 'HelloWorld'],
'snake_case': ['hello_world', 'hello_world', 'hello_world'],
'upper_snake_case': ['HELLO_WORLD', 'HELLO_WORLD', 'HELLO_WORLD'],
'kebab_case': ['hello-world', 'hello-world', 'hello-world'],
'upper_kebab_case': ['HELLO-WORLD', 'HELLO-WORLD', 'HELLO-WORLD'],
'title_case': ['Hello World', 'Hello World', 'Hello World']
}Describe alternatives you've considered
udfs
Additional context
heck seems like a highly popular library that can do this