jsonr 8.5.2

Highly customizable JSON objects and dataframes.

jsonr - PyPi

flowa: (V8.5.2)

Python Highly customizable JSON objects and dataframes, and more!

Installing

# Linux/macOS
python3 pip install -U jsonr

# Windows
py -3 -m pip install -U jsonr

JSON Objects

import jsonr

json: jsonr.JSON = jsonr.New(auto=True, some_var='thanks for using jsonr!', other_var='im a random var!', lol='lol')

// >>> {'some_var': 'thanks for using jsonr!', 'other_var': 'im a random var!', 'lol': 'lol'}

json.test: int = 123

print(json['test'])

// >>> 123

json_copy: dict = json.copy()

new_json: jsonr.JSON = jsonr.New()
new_json.to(json_copy)

print(new_json)

// >>> {'some_var': 'thanks for using jsonr!', 'other_var': 'im a random var!', 'lol': 'lol', 'test': 123}

json.wipe()

// >>> {}

For more JSON Object Examples view the jsonr/examples

DataFrame Objects

frame = jsonr.Frame(columns=["1A TEST-A", "B", "C"], rows=[[1, 2, 3], [4, 5, 6]])

// >>>      | 1A TEST-A | B | C
// >>> -----------------------
// >>> 0    |         1 | 2 | 3
// >>> 1    |         4 | 5 | 6

print(frame._1A_TEST_A)

// >>> [1, 4]

frame.add_row([7, 8, 9])

// >>>      | 1A TEST-A | B | C
// >>> -----------------------
// >>> 0    |         1 | 2 | 3
// >>> 1    |         4 | 5 | 6
// >>> 2    |         7 | 8 | 9

frame.add_column("D", [10, 11, 12])

// >>>      | 1A TEST-A | B | C |  D
// >>> ----------------------------
// >>> 0    |         1 | 2 | 3 | 10
// >>> 1    |         4 | 5 | 6 | 11
// >>> 2    |         7 | 8 | 9 | 12

X: list = frame.drop(columns=['B', 'C']) # Creates a new dataframe to not alter the original frame.

// >>>      | 1A TEST-A |  D
// >>> --------------------
// >>> 0    |         1 | 10
// >>> 1    |         4 | 11
// >>> 2    |         7 | 12

print(frame.describe())

// >>> {'1A TEST-A': {'count': 3, 'mean': 4.0, 'std': 2.449489742783178, 'min': 1, '25%': 1, '50%': 4, '75%': 7, 'max': 7}, 'B': {'count': 3, 'mean': 5.0, 'std': 2.449489742783178, 'min': 2, '25%': 2, '50%': 5, '75%': 8, 'max': 8}, 'C': {'count': 3, 'mean': 6.0, 'std': 2.449489742783178, 'min': 3, '25%': 3, '50%': 6, '75%': 9, 'max': 9}, 'D': {'count': 3, 'mean': 11.0, 'std': 0.816496580927726, 'min': 10, '25%': 10, '50%': 11, '75%': 12, 'max': 12}}

For more DataFrame Object Examples view the jsonr/examples

Links

GitHub = https://github.com/jsonr-py Repository = https://github.com/jsonr-py/jsonr PyPi = https://pypi.org/project/jsonr