a lib for working with data
Project description
betterdata by gmanka
python lib for working with data
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installation^
pip install betterdata
usage^
from betterdata import Data
df = Data(
data = {
'key1': 'val1',
'key2': 'val2',
},
file_path = 'data.yml'
)
after running this code it will automatically create file data.yml
key1: val1
key2: val2
if file already exists, then it will be overwritten
reading
if you will not specify data
argument, then data will be read from disk
from betterdata import Data
df = Data(
file_path = 'data.yml'
)
print(df)
# {'key1': 'val1', 'key2': 'val2'}
if file does not exists then dict will be empty
from betterdata import Data
from pathlib import Path
Path('data.yml').unlink()
data = Data(
file_path = 'data.yml'
)
print(data)
# {}
autosaves
if you put something in the dictionary then it will also automatically written to disk
from betterdata import Data
data = Data(
file_path = 'data.yml'
)
print(data)
# {}
print(Path('data.yml').exists())
# False
data['key1'] = 'val1'
data['key2'] = 'val2'
print(data)
# {'key1': 'val1', 'key2': 'val2'}
print(open('data.yml', 'r').read())
# key1: val1
# key2: val2
manual saves
if you editing list in a dict then it will not automatically saved, but you can save it manually
from betterdata import Data
from pathlib import Path
Path('data.yml').unlink(missing_ok=True)
data = Data(
file_path = 'data.yml'
)
print(data)
# {}
print(Path('data.yml').exists())
# False
data['list'] = [1, 2, 3]
print(data)
# {'list': [1, 2, 3]}
print(open('data.yml', 'r').read())
# list:
# - 1
# - 2
# - 3
data['list'].append('some very important data')
print(data)
# {'list': [1, 2, 3, 'some very important data']}
print(open('data.yml', 'r').read())
# list:
# - 1
# - 2
# - 3
# as you can see, appended data was not written on disk, so you can write it manually
data.to_file()
print(open('data.yml', 'r').read())
# list:
# - 1
# - 2
# - 3
# - some very important data
some syntax sugar
from betterdata import Data
data = Data(
{
'key1': 'val1',
'key2': 'val2',
}
)
print(data)
# {'key1': 'val1', 'key2': 'val2'}
print(data['key1'])
# val1
print(data.key1)
# val1
print(data.to_str())
# key1: val1
# key2: val2
print('key2' in data)
# True
print('key3' in data)
# False
print(data['key3'])
# None
print(data.key3)
# AttributeError: 'Data' object has no attribute 'key3'
interactive input
from betterdata import Data
data = Data()
data.interactive_input('key1')
it will interactively ask user to input value for key1
args:
item: str
# key name
digits_to_int: bool = True
# convert digits from str to int
kill_app_on_exit: bool = True
# kill app if user select exit
button
break_if_exist: bool = True
# skip interactive input if key already in dict
sel: Sel = yes_no
# you can specify Sel object from easyselect lib which will be used to confirm the value
text = None
# change text which will be printed on the screen
license
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