ToCase

Functionality

tocase leverages the regex library to convert your strings into any case.

Setup

To install the package run the following command:

pip install tocase

Once installed, import the for_strings if you want to use the basic API to recase strings. Import the for_pandas modules to use the pandas API to recase column names and column values.

from tocase.for_strings import ToCase # if you want to use the string API only
import tocase.for_pandas # if you want to recase strings in Pandas DataFrames

Usage

Camel

It is a naming convention where the first letter in compound words is capitalized, except for the first one.

# Example with simple string
Tocase("camel-case").camel() # ==> camelCase
Tocase("camel case").camel() # ==> camelCase

Constant

It is a naming convention where all letters in compound words are capitalized. Words are joined with an underscore.

# Example with simple string
Tocase("Constant-case").constant() # ==> CONSTANT_CASE
Tocase("constant Case").constant() # ==> CONSTANT_CASE

Dot

It is a naming convention where all letters in compound words are lowercased. Words are joined with a dot.

# Example with simple string
Tocase("Dot-case").dot() # ==> dot.case
Tocase("dot Case").dot() # ==> dot.case

Header

It is a naming convention where the first letter in compound words is capitalized. Words are joined by a dash.

# Example with simple string
Tocase("Header-case").header() # ==> Header-Case
Tocase("header Case").header() # ==> Header-Case

Kebab

It is a naming convention where all letters in compound words are lowercased. Words are joined by a dash.

# Example with simple string
Tocase("Kebab-case").kebab() # ==> kebab-case
Tocase("kebab Case").kebab() # ==> kebab-case

Pascal

It is a naming convention where the first letter in compound words is capitalized.

# Example with simple string
Tocase("Pascal-case").pascal() # ==> PascalCase
Tocase("pascal Case").pascal() # ==> PascalCase

Snake

It is a naming convention where all letters in compound words are lowercased. Words are joined by an underscore.

# Example with simple string
Tocase("Snake-case").snake() # ==> snake_case
Tocase("snake Case").snake() # ==> snake_case

Title

It is a naming convention where the first letter in compound words is capitalized. Words are separated by a space.

# Example with simple string
Tocase("Title-case").title() # ==> "Title Case"
Tocase("title Case").title() # ==> "Title Case"

With pandas DataFrames

You can work with pandas DataFrame to recase columns names or column values. See the following examples with fake data.

columns = ["first name", "last name", "age", "family doctor"]
values = [
        ["Jules", "Otti", 35, "Dr James Porter"],
        ["Marie", "Curie", 22, "Dr Vicky Laporte"],
        ["Marc", "El Bichon", 35, "Dr Hyde Frank"]
        ]
data =  pd.DataFrame(data=values, columns=columns)

To recase columns names, use the col DataFrame accessor and the appropriate recasing function described above.

print(data)

"""
  first name last name  age   family doctor
0      Jules      Otti   35   DrJamesPorter
1      Marie     Curie   22  DrVickyLaporte
2       Marc  ElBichon   35     DrHydeFrank

"""

print(data.col.constant())

"""
  FIRST_NAME LAST_NAME  AGE   FAMILY_DOCTOR
0      Jules      Otti   35   DrJamesPorter
1      Marie     Curie   22  DrVickyLaporte
2       Marc  ElBichon   35     DrHydeFrank
"""

To recase columns values, use the val DataFrame accessor, the appropriate recasing function described above with a list of the columns to be processed.

columns_to_process = ["first name", "last name", "family doctor"]
print(data.val.constant(columns_to_process))

"""
  first name  last name  age     family doctor
0      JULES       OTTI   35   DR_JAMES_PORTER
1      MARIE      CURIE   22  DR_VICKY_LAPORTE
2       MARC  EL_BICHON   35     DR_HYDE_FRANK

"""

For developers

Clone or download the repository on your machine. If you have poetry installed just run the following command to restore the working environment:

poetry install

If you don't have poetry you can use pip and the requirements.txt file:

pip install -r requirements.txt

To run tests, stay at the root of the directory and run:

pytest -v

All contributions are more than welcome. So feel free to to make a PR.

Author

Faouzi Braza