blueonion
===============
.. image:: https://api.travis-ci.org/waditu/tushare.png?branch=master
:target: https://travis-ci.org/waditu/tushare
.. image:: https://badge.fury.io/py/tushare.png
:target: http://badge.fury.io/py/tushare
* 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 World
* learners of financial data analysis with pandas/NumPy
* people who are interested in financial data
Installation
--------------
pip install blueonion
Upgrade
---------------
pip install blueonion --upgrade
Quick Start
--------------
::
import blueonion as ts
pro = ts.pro_api('dfcf7cda6b195dc2966a4baeab0fcaea4b809edb6c10e70a')
pro.query('esgData', isin='AEA006101017', pageSize=2, pageNo=2)
pro.query('fundData', isin='AEA006101017')
pro.query('equityData', isin='AEA006101017')
return::
open high close low volume p_change ma5
date
2012-01-11 6.880 7.380 7.060 6.880 14129.96 2.62 7.060
2012-01-12 7.050 7.100 6.980 6.900 7895.19 -1.13 7.020
2012-01-13 6.950 7.000 6.700 6.690 6611.87 -4.01 6.913
2012-01-16 6.680 6.750 6.510 6.480 2941.63 -2.84 6.813
2012-01-17 6.660 6.880 6.860 6.460 8642.57 5.38 6.822
2012-01-18 7.000 7.300 6.890 6.880 13075.40 0.44 6.788
2012-01-19 6.690 6.950 6.890 6.680 6117.32 0.00 6.770
2012-01-20 6.870 7.080 7.010 6.870 6813.09 1.74 6.832
Raw data
{
"_id": null,
"home_page": "http://54.169.163.141:8099/",
"name": "blueonion",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "Global Financial Data",
"author": "gmcheng",
"author_email": "chenggm2002@163.com",
"download_url": "https://files.pythonhosted.org/packages/b2/55/6b0f4ac9663cc654773bd8a195841b764ead3fb7aab467bb7080b23563a9/blueonion-1.0.2.tar.gz",
"platform": null,
"description": "\nblueonion\n===============\n\n.. image:: https://api.travis-ci.org/waditu/tushare.png?branch=master\n :target: https://travis-ci.org/waditu/tushare\n\n.. image:: https://badge.fury.io/py/tushare.png\n :target: http://badge.fury.io/py/tushare\n\n* easy to use as most of the data returned are pandas DataFrame objects\n* can be easily saved as csv, excel or json files\n* can be inserted into MySQL or Mongodb\n\nTarget Users\n--------------\n\n* financial market analyst of World\n* learners of financial data analysis with pandas/NumPy\n* people who are interested in financial data\n\nInstallation\n--------------\n\n pip install blueonion\n \nUpgrade\n---------------\n\n pip install blueonion --upgrade\n \nQuick Start\n--------------\n\n::\n\n import blueonion as ts\n \n pro = ts.pro_api('dfcf7cda6b195dc2966a4baeab0fcaea4b809edb6c10e70a')\n pro.query('esgData', isin='AEA006101017', pageSize=2, pageNo=2)\n pro.query('fundData', isin='AEA006101017')\n pro.query('equityData', isin='AEA006101017')\n\nreturn::\n\n open high close low volume p_change ma5 \n date\n 2012-01-11 6.880 7.380 7.060 6.880 14129.96 2.62 7.060\n 2012-01-12 7.050 7.100 6.980 6.900 7895.19 -1.13 7.020\n 2012-01-13 6.950 7.000 6.700 6.690 6611.87 -4.01 6.913\n 2012-01-16 6.680 6.750 6.510 6.480 2941.63 -2.84 6.813\n 2012-01-17 6.660 6.880 6.860 6.460 8642.57 5.38 6.822\n 2012-01-18 7.000 7.300 6.890 6.880 13075.40 0.44 6.788\n 2012-01-19 6.690 6.950 6.890 6.680 6117.32 0.00 6.770\n 2012-01-20 6.870 7.080 7.010 6.870 6813.09 1.74 6.832\n \n\n\n",
"bugtrack_url": null,
"license": "BSD",
"summary": "A utility for crawling historical and Real-time Quotes data of China stocks",
"version": "1.0.2",
"split_keywords": [
"global",
"financial",
"data"
],
"urls": [
{
"comment_text": "",
"digests": {
"md5": "6cc817ea9c1a4d878c92dfbf4d9c13a1",
"sha256": "acd5aceb686cff5a6cca56103ea95b854f438fdef8c929e8303d43238306fe7c"
},
"downloads": -1,
"filename": "blueonion-1.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "6cc817ea9c1a4d878c92dfbf4d9c13a1",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 4194,
"upload_time": "2022-12-02T13:29:51",
"upload_time_iso_8601": "2022-12-02T13:29:51.217952Z",
"url": "https://files.pythonhosted.org/packages/89/ba/14a0d24b80787b46cbddbe58aa311a0330459a47661718e19d83c8d1b37a/blueonion-1.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"md5": "745e611ba7aa8e0c07f392f2b6ac1c81",
"sha256": "0c952be4c922ee89fc32c10593429787aeb1b53ae85e1eed45a5553341179af4"
},
"downloads": -1,
"filename": "blueonion-1.0.2.tar.gz",
"has_sig": false,
"md5_digest": "745e611ba7aa8e0c07f392f2b6ac1c81",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3297,
"upload_time": "2022-12-02T13:29:53",
"upload_time_iso_8601": "2022-12-02T13:29:53.008921Z",
"url": "https://files.pythonhosted.org/packages/b2/55/6b0f4ac9663cc654773bd8a195841b764ead3fb7aab467bb7080b23563a9/blueonion-1.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2022-12-02 13:29:53",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "blueonion"
}
JSON