My Package
equal-data
- easy to use as most of the data returned are pandas DataFrame objects
- can be easily saved as csv, excel or json files
- can be inserted into MySQL or Mongodb
Target Users
- financial market analyst of China
- learners of financial data analysis with pandas/NumPy
- people who are interested in China financial data
Installation
pip install equal-data
Upgrade
pip install equal-data --upgrade
Quick Start
::
from equal_data import EqualDataApi
api = EqualDataApi("your equal data api key")
data = api.query_equal_data(
interfaceId="B6",
period=4, # 近1年
changeType=1, # 增持
pageIndex=0,
pageSize=50
)
Metadata
Release files for equal-data 0.0.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| equal_data-0.0.12.tar.gz | 13.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| equal_data-0.0.12-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.7 kB
Release files / equal_data-0.0.12.tar.gz
| Download URL | equal_data-0.0.12.tar.gz |
|---|---|
| Size | 13.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / equal_data-0.0.12-py3-none-any.whl
| Download URL | equal_data-0.0.12-py3-none-any.whl |
|---|---|
| Size | 8.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|