semvec/pypi-packages huggingface dataset:
data-cleanup 0.0.6
implementation of cleanup data
Requires Python: >=3.7

# cleanup_pypi

#Reference for creating python package
[official python page](https://packaging.python.org/tutorials/packaging-projects/)

#Reference URL
[URL helpful for creating python package](https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-nodejs-or-python?langId=py)



### This library has 3 functions:- 
``` 
1) replacing null values
2) standardization the column values 
3) finding the variance_inflation_factor value column wise
```
## Points to keep a note

    The base minimum parameter which it expects is either a numpy array or a DataFrame.

    The only things we need to keep in mind is make sure there is no column in date format if so once you have preprocessed it then use these functions.
    If any column has values in dataformat then it may give error.
    Also in case of a DataFrame kindly ensure the first column is target column or dependent column. Only then start using this function.


## example of use
from cleanup.clean import Dataclean

df = pd.read_csv('UCI_Credit_Card.csv')

dc =Dataclean(df)

df1=dc.standardize()

print(df1)
py-accumulate 0.0.4
Python wrapper for accumulate API
Requires Python: >=3.6

# py_accumulate

Python wrapper for accumulate API from https://accumulatenetwork.io/

## install
'''python
pip install py_accumulate
'''

## pip

package link in pypi: https://pypi.org/project/py-accumulate/

## Usage

```python
from accumulate import Accumulate
ENDPOINT = "https://testnet.accumulatenetwork.io/v2"
a=Accumulate(ENDPOINT)
a.Version()
```

## Methods

- METHOD_NAME                   :   INPUT
- Version()
- Metrics()                     :   metric, duration
- Faucet()                      :   token_account_url
- Query()                       :   token_account_url or ADI
- QueryChain()                  :   CHAIN_ID
- QueryTx()                     :   txId, wait
- QueryTxHistory()              :   UrlQuery, QueryPagination
- QueryData()                   :   Url, EntryHash

- QueryKeyPageIndex()           :   Url, Key
- QueryDataSet()                :   Url, QueryPagination, QueryOptions
- QueryDirectory()              :   UrlQuery, QueryPagination, QueryOptions

- Execute()                     :   sponsor, signer, signature, keyPage, payload, checkOnly
- ExecuteCreateAdi()            :   url, publicKey, keyBookName, keyPageName
- ExecuteCreateDataAccount()    :   url, KeyBookUrl, ManagerKeyBookUrl
- ExecuteCreateKeyBook()        :   url, Pages
- ExecuteCreateKeyPage()        :   url, Keys
- ExecuteCreateToken()          :   url, Symbol, Precision, Properties
- ExecuteCreateTokenAccount()   :   url, TokenUrl, KeyBookUrl
- ExecuteSendTokens()           :   To, Hash, Meta
- ExecuteAddCredits()           :   Recipient, Amount
- ExecuteUpdateKeyPage()        :   Operation, Key, NewKey, Owner
- ExecuteWriteData()            :   DataEntry


## Reference

-https://docs.accumulatenetwork.io/accumulate/developers/api/api-reference


## Developing testing

- Dependencies in requirements.txt
- Version Mangement in setup.cfg

```python
python -m unittest discover -s tests/accumulate/ -p 'test_*.py'
```
cutesdk 0.1.4
sdks for open platforms

# cutesdk

## Quick Start

- install cutesdk

```shell
pip install --upgrade cutesdk
```

- use wxapp sdk

when you want to request a wxapp api such as: [analysis.getDailyRetain](https://developers.weixin.qq.com/miniprogram/dev/api-backend/open-api/data-analysis/visit-retain/analysis.getDailyRetain.html)

you can code in python like below:

```python
from cutesdk.wxapp import WxApp, ACCESS_TOKEN

sdk = WxApp(
    appid='xxx', 
    app_secret='xxx',
)

api_path = '/datacube/getweanalysisappiddailyretaininfo'
params = {
    'access_token': ACCESS_TOKEN,
}
data = {
    'begin_date': '20220102',
    'end_date': '20220102',
}

res = sdk.api_post(api_path, params, data)

print(res)
```