| Name | txtdata JSON |
| Version |
0.1.2
JSON |
| download |
| home_page | |
| Summary | |
| upload_time | 2024-01-26 15:17:13 |
| maintainer | |
| docs_url | None |
| author | renanmoretto |
| requires_python | >=3.10,<4.0 |
| license | |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# Easy and light manager for basic text data.
TxtData is a Python library designed for basic handling of data in .txt files. This lightweight library, with less than 400 lines of code, offers an easy-to-use API and includes comprehensive, well-written tests.
- Simple and intuitive handling of .txt data.
- Lightweight design for efficient performance.
- Extensive testing ensuring reliability.
## Installation
```
pip install txtdata
```
## Examples
```python
from txtdata import TxtData
# Creating an empty TxtData instance
txt = TxtData()
print(txt.empty) # Output: True
# Creating with a simple dictionary.
txt = TxtData({'A': [1,2,3], 'B': ['x','y','z']})
print(txt)
# Output: [{'A': 1, 'B': 'x'}, {'A': 2, 'B': 'y'}, {'A': 3, 'B': 'z'}]
# Inserting data
txt = TxtData()
txt.insert({'A': 123, 'B': 'zzz'}) # single data by single dict
txt.insert(A=182, C='asdf') # single data by keyword
txt.insert([{'A': None}, {'B': 'zzz', 'C': 'yes'}]) # multiple data by list of dicts
txt.insert({'A': [1, 3], 'B': ['yyy', 'www']}) # multiple data by dict of lists
print(txt)
# Output: [
# {'A': 123, 'B': 'zzz', 'C': None},
# {'A': 182, 'B': None, 'C': 'asdf'},
# {'A': None, 'B': None, 'C': None},
# {'A': None, 'B': 'zzz', 'C': 'yes'},
# {'A': 1, 'B': 'yyy', 'C': None},
# {'A': 3, 'B': 'www', 'C': None}
# ]
# Filtering data
filtered_txt = txt.filter(A=182)
print(len(filtered_txt)) # Output: 1 (based on data above)
# Delete
txt.delete(B=None) # Deletes all data with B equals to None
# Saving
txt.save('data.txt', delimiter=';')
# txt file:
# A;B;C
# 123;zzz;
# 182;;asdf
# ;;
# ;zzz;yes
# 1;yyy;
# 3;www;
```
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"description": "# Easy and light manager for basic text data.\n\nTxtData is a Python library designed for basic handling of data in .txt files. This lightweight library, with less than 400 lines of code, offers an easy-to-use API and includes comprehensive, well-written tests.\n\n\n- Simple and intuitive handling of .txt data.\n- Lightweight design for efficient performance.\n- Extensive testing ensuring reliability.\n\n## Installation\n```\npip install txtdata\n```\n\n## Examples\n```python\nfrom txtdata import TxtData\n\n# Creating an empty TxtData instance\ntxt = TxtData()\nprint(txt.empty) # Output: True\n\n# Creating with a simple dictionary.\ntxt = TxtData({'A': [1,2,3], 'B': ['x','y','z']})\nprint(txt) \n# Output: [{'A': 1, 'B': 'x'}, {'A': 2, 'B': 'y'}, {'A': 3, 'B': 'z'}]\n\n# Inserting data\ntxt = TxtData()\ntxt.insert({'A': 123, 'B': 'zzz'}) # single data by single dict\ntxt.insert(A=182, C='asdf') # single data by keyword\ntxt.insert([{'A': None}, {'B': 'zzz', 'C': 'yes'}]) # multiple data by list of dicts\ntxt.insert({'A': [1, 3], 'B': ['yyy', 'www']}) # multiple data by dict of lists\nprint(txt)\n# Output: [\n# {'A': 123, 'B': 'zzz', 'C': None},\n# {'A': 182, 'B': None, 'C': 'asdf'},\n# {'A': None, 'B': None, 'C': None},\n# {'A': None, 'B': 'zzz', 'C': 'yes'},\n# {'A': 1, 'B': 'yyy', 'C': None},\n# {'A': 3, 'B': 'www', 'C': None}\n# ]\n\n# Filtering data\nfiltered_txt = txt.filter(A=182)\nprint(len(filtered_txt)) # Output: 1 (based on data above)\n\n# Delete\ntxt.delete(B=None) # Deletes all data with B equals to None\n\n# Saving\ntxt.save('data.txt', delimiter=';')\n# txt file:\n# A;B;C\n# 123;zzz;\n# 182;;asdf\n# ;;\n# ;zzz;yes\n# 1;yyy;\n# 3;www;\n\n\n```",
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