A simple and easy-to-use financial data interface library built for normal investors!
Project description
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 doupand
Upgrade
pip install –upgrade doupand
Quick Start
import doupand as dp print(dp.datareader.ashare_description())
return:
s_dp_code s_code ... s_exchmarket s_listboard 0 000001.SZ 000001 ... SZSE 主板 1 000002.SZ 000002 ... SZSE 主板 2 000003.SZ 000003 ... SZSE 主板 3 000004.SZ 000004 ... SZSE 主板 4 000005.SZ 000005 ... SZSE 主板 ... ... ... ... ... ... 5329 873169.BJ 873169 ... BSE 北交所 5330 873223.BJ 873223 ... BSE 北交所 5331 873305.BJ 873305 ... BSE 北交所 5332 873339.BJ 873339 ... BSE 北交所 5333 873527.BJ 873527 ... BSE 北交所
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
doupand-1.0.10.tar.gz
(4.5 kB
view details)
File details
Details for the file doupand-1.0.10.tar.gz.
File metadata
- Download URL: doupand-1.0.10.tar.gz
- Upload date:
- Size: 4.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c625c732294893950f833e385d6c6d57f64aebcd6333fe1add91fc5adead0f07
|
|
| MD5 |
d05df06713fc6bf0d7b2c5369046ac90
|
|
| BLAKE2b-256 |
4ebcd712c557c829c80e29468bc43e6cd82d593324fd9a80dfb9b91b23426188
|