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