dekimashita 0.0.1

Library designed to process text with various filter criteria

Dekimashita

a library containing a collection of utility functions designed to filter and process text data based on certain criteria. These functions are useful for various text processing tasks, such as removing unwanted characters, extracting specific information, or cleaning input data.

Features ✨

• Alphabetic Filtering: Easily filter out non-alphabetic characters from text data.

• Numeric Filtering: Quickly remove non-numeric characters from text strings.

• Alphanumeric Filtering: Filter text to retain only alphanumeric characters, excluding special symbols.

• Customization: Ability to customize the filtering criteria based on specific requirements.

• TextCleaning: Cleanse input text from unwanted characters to prepare it for further processing or analysis.

• Normalization: Standardize text data by removing irregular characters or symbols

Requirement ⚙️

• Python v3.11.6+

Installation 🛠️

pip install dekimashita

How To Usage 🤔

1. Dekimashita.vdict(data, [chars])

Filter dictionary values recursively, ignoring specified characters.



Args:

    data (dict or list): Data (dictionary or list containing dictionaries) to filter.

    chars (list): List of characters to filter.



Returns:

    dict or list: Filtered data.

⚠️ Sample ⚠️

data = {

  "university": {

    "name": "Example University",

    "location": "City XYZ",

    "courses": [

      {

        "course_id": "CS101",

        "title": "Introduction \n to \n Computer \n\n Science",

        "lecturer": {

          "name": "Dr. Alan\n Smith",

          "email": "[e-mail]",

          "office": {

            "building": "Engineering Tower",

            "room_number": "123"

          }

        },

        "students": {

            "name": "John Doe",

            "student_id": "123456",

            "email": "[e-mail]",

            "grades": {

              "assignments": [

                {

                  "assignment_id": "001",

                  "score": 95,

                  "comments": "Great job on the assignment!\nKeep up the good work."

                },

                {

                  "assignment_id": "002",

                  "score": 85,

                  "comments": "Your\n effort is commendable.\r\r However,\nthere is room"

                }

              ],

              "final_exam": {

                "score": 88,

                "comments": "Solid \nperformance overall.\n\rYour understanding of the subject"

              }

            }

          }

      }

    ]

  }

}

without Dekimashita filter

import json



data = # data_sample



with open("data.json", "w") as json_file:

    json.dump(data, json_file, indent=4)

If you have a very complex dictionary and you write without using the Dekimashita filter you will get results like this

with Dekimashita filter

import json

from dekimashita import Dekimashita



data = # data_sample

clear = Dekimashita.vdict(data, ['\n', '\r'])



with open("data.json", "w") as json_file:

    json.dump(clear, json_file, indent=4)

By using the Dekimashita filter you get a clean dictionary like this

2. Dekimashita.vspace(text)

Remove extra spaces from text.



Args:

    text (str): Input text.



Returns:

    str: Text with extra spaces removed.

sample

from dekimashita import Dekimashita



text = 'moon   beautiful   isn"t   it'



clear = Dekimashita.vspace(text)



print('without Dekimashita filter: '+ text)

print('with Dekimashita filter: ' + clear)

# output



without Dekimashita filter: moon   beautiful   isn"t   it

with Dekimashita filter: moon beautiful isn"t it

3. Dekimashita.valpha(text)

Remove non-alphabetic characters (except a-z, A-Z) from text.



Args:

  text (str): Input text.



Returns:

  str: Filtered text containing only alphabetic characters.

sample

from dekimashita import Dekimashita



text = 'mo&on b)(*&^%$e!au!t@#$i*f!ul is!!$#n"t i)(*&^t'



clear = Dekimashita.valpha(text)



print('without Dekimashita filter: '+ text)

print('with Dekimashita filter: ' + clear)

# output



without Dekimashita filter: mo&on b)(*&^%$e!au!t@#$i*f!ul is!!$#n"t i)(*&^t

with Dekimashita filter: moon beautiful isnt it

4. Dekimashita.vnum(text)

Remove non-numeric characters from text.



Args:

  text (str): Input text.



Returns:

  str: Filtered text containing only numeric characters.

sample

from dekimashita import Dekimashita



text = ' mo30on be7aut20iful i05sn"t it'



clear = Dekimashita.vnum(text)



print('without Dekimashita filter: '+ text)

print('with Dekimashita filter: ' + clear)

# output



without Dekimashita filter:  mo30on be7aut20iful i05sn"t it

with Dekimashita filter: 3072005

5. Dekimashita.vtext(text)

Remove non-alphanumeric characters (except a-z, A-Z, 0-9) from text.

  Double spaces are replaced with a single space.



Args:

  text (str): Input text.



Returns:

  str: Filtered text containing only alphanumeric characters.

sample

from dekimashita import Dekimashita



text = 'moon \t\t bea^%$#@utiful isn"t it 30705'



clear = Dekimashita.vtext(text)



print('without Dekimashita filter: '+ text)

print('with Dekimashita filter: ' + clear)

# output



without Dekimashita filter: moon                 bea^%$#@utiful isn"t it 30705

with Dekimashita filter: moon beautiful isnt it 30705

🚀Structure

│   LICENSE

│   README.md

│   setup.py

│

└───dekimashita

        dekimashita.py

        __init__.py

Author

👤 Rio Dwi Saputra

• Twitter: @ryyo_cs

• Github: @ryyos

• Instagram: @ryyo.cs

• LinkedIn: @rio-dwi-saputra-23560b287