Simple module to store data with arbitrary structure in dict or Pandas DataFrame
Project description
Do you collect a heterogeneous data step by step?
Here you find a convinient solution of this problem. class AccumulativeData provides a simple interface to store data step by step. The data can be consisted of:
- Numbers
- Lists / arrays
- Objects
You can store it as pickled object or Pandas Dataframe.
Installation
The module can be installed from pip
pip install accudata
For example
You have a social data collecting process. You must collect on every step heterogeneous data:
- Name of a person
- Age
- Interests
- Preferences by categories: food, pets, sport, politics
You can make a class:
from accudata import AccumulativeData
class PeopleAccData(AccumulativeData):
def __init__(self):
lists = ['name', 'age', 'interests']
dicts = {'pref': ['food', 'pets', 'sport', 'politics]}
super().__init__(lists=lists, dicts=dicts)
After that you can make an iterative collecting process as follows:
Data = PeopleAccData()
for item in raw_data:
Data.next()
# \\\ A complicated code to extract data
name, age, interests, food, pets, sport, politics, _ = extract_data(item)
Data.append(name, age, interests,
pref=[food, pets, sport, politics])
It is simple to get data:
names = Data.name
# Make the dataframe
dataframe = Data.todf()
print(dataframe.name)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file accudata-1.0.1.tar.gz
.
File metadata
- Download URL: accudata-1.0.1.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | df800255dc252bf63937b0094453bdaf65e09772c3f51d808b9cd44d814d9cfd |
|
MD5 | e7dcf63b818a21b8f44d47dc277c39bb |
|
BLAKE2b-256 | 9338f80ba4e4167141e71cb74e927c341762dfab547c3de828af1fb7d13eb8af |
File details
Details for the file accudata-1.0.1-py3-none-any.whl
.
File metadata
- Download URL: accudata-1.0.1-py3-none-any.whl
- Upload date:
- Size: 3.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 199daf344ac0c83c1b3f0245973f6457b060a0661b609e22a69d427157a7d9b9 |
|
MD5 | 51cc74b67dd8bcdaa286a6b021fefbb1 |
|
BLAKE2b-256 | b81d116cc658a72e27bf5c6381b6733f4af14797dc719e1bcc955614cef45b68 |