| Name | h2w-aesoppy JSON |
| Version |
1.2.0
JSON |
| download |
| home_page | None |
| Summary | Python Library for Data Wrangling and API Interactions on Stock Market Data |
| upload_time | 2025-02-02 22:15:30 |
| maintainer | None |
| docs_url | None |
| author | Harvey Wargo |
| requires_python | >=3.9 |
| license | MIT License
Copyright (c) 2024 Harvey Wargo 2
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
| keywords |
stock
gurufocus
stock data
dividends
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
pandas
requests
datetime
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# aesoppy
- Python Library for Data Wrangling and API Interactions on Stock Market Data for Analysis in Jupyter Notebooks
## Current Data Integrations
- [Gurufocus.com](https://www.gurufocus.com)
## Normalized 10K DataFrame Columns
| Column Name | Data Point |
|:---------------------------|:---------------------------------|
| fiscal_year | Fiscal Year |
| fiscal_month | Fiscal Year End Month |
| revenue | Revenue |
| gross_profit | Gross Profit |
| sga | Selling General & Admin |
| rnd | Research and Development |
| operating_income | Operating Income |
| taxes_paid | Tax Paid |
| net_income | Net Income |
| cash_equivalents | Cash Equivalents |
| market_securities | Marketable Securities |
| current_assets | Current Assets |
| long_assets | Long Assets |
| current_liabilities | Current Liabilities |
| long_liabilities | Long Liabilities |
| treasury_stock | Treasury Stock |
| stock_issues | Share Issues |
| stock_buyback | Share Buybacks |
| shares_outstanding_eop | Shares Outstanding End Of Period |
| shares_outstanding_diluted | Shares Outstanding Diluted |
| cash_from_ops | Cash From Operations |
| cash_for_dividends | Dividends Paid |
| capex | Capital Expenditure |
| debt_paid | Cash Paid to Debt |
| debt_issued | Cash From Issued Debt |
| free_cash_flow | Free Cash Flow |
# Normalized Dividend Price Dataframe
Raw data
{
"_id": null,
"home_page": null,
"name": "h2w-aesoppy",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": "Stock, GuruFocus, Stock Data, Dividends",
"author": "Harvey Wargo",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/3b/ab/83cc76a8d97b657c9ae84e047d9fd581107b1b16f66e36210eaa0a636687/h2w_aesoppy-1.2.0.tar.gz",
"platform": null,
"description": "# aesoppy\n- Python Library for Data Wrangling and API Interactions on Stock Market Data for Analysis in Jupyter Notebooks\n\n\n## Current Data Integrations \n- [Gurufocus.com](https://www.gurufocus.com)\n\n\n## Normalized 10K DataFrame Columns\n| Column Name | Data Point |\n|:---------------------------|:---------------------------------|\n| fiscal_year | Fiscal Year |\n| fiscal_month | Fiscal Year End Month |\n| revenue | Revenue |\n| gross_profit | Gross Profit |\n| sga | Selling General & Admin |\n| rnd | Research and Development |\n| operating_income | Operating Income |\n| taxes_paid | Tax Paid |\n| net_income | Net Income |\n| cash_equivalents | Cash Equivalents |\n| market_securities | Marketable Securities |\n| current_assets | Current Assets |\n| long_assets | Long Assets |\n| current_liabilities | Current Liabilities |\n| long_liabilities | Long Liabilities |\n| treasury_stock | Treasury Stock |\n| stock_issues | Share Issues |\n| stock_buyback | Share Buybacks |\n| shares_outstanding_eop | Shares Outstanding End Of Period |\n| shares_outstanding_diluted | Shares Outstanding Diluted |\n| cash_from_ops | Cash From Operations |\n| cash_for_dividends | Dividends Paid |\n| capex | Capital Expenditure |\n| debt_paid | Cash Paid to Debt |\n| debt_issued | Cash From Issued Debt |\n| free_cash_flow | Free Cash Flow | \n\n\n# Normalized Dividend Price Dataframe\n\n",
"bugtrack_url": null,
"license": "MIT License\n \n Copyright (c) 2024 Harvey Wargo 2\n \n Permission is hereby granted, free of charge, to any person obtaining a copy\n of this software and associated documentation files (the \"Software\"), to deal\n in the Software without restriction, including without limitation the rights\n to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n copies of the Software, and to permit persons to whom the Software is\n furnished to do so, subject to the following conditions:\n \n The above copyright notice and this permission notice shall be included in all\n copies or substantial portions of the Software.\n \n THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n SOFTWARE.\n ",
"summary": "Python Library for Data Wrangling and API Interactions on Stock Market Data",
"version": "1.2.0",
"project_urls": {
"Homepage": "https://github.com/harveywargo2/h2w-aesoppy"
},
"split_keywords": [
"stock",
" gurufocus",
" stock data",
" dividends"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "053d473848b92b3b1e15c816046e0e34a53f0fce1874660a8ea2aa32cfe2cb06",
"md5": "3ed96663bd61fd411846e8f85df30315",
"sha256": "d2fde63b78e7bd5fd7e1ee128d242675332237898e18eb85f414451a2226e962"
},
"downloads": -1,
"filename": "h2w_aesoppy-1.2.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "3ed96663bd61fd411846e8f85df30315",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 11835,
"upload_time": "2025-02-02T22:15:28",
"upload_time_iso_8601": "2025-02-02T22:15:28.534096Z",
"url": "https://files.pythonhosted.org/packages/05/3d/473848b92b3b1e15c816046e0e34a53f0fce1874660a8ea2aa32cfe2cb06/h2w_aesoppy-1.2.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "3bab83cc76a8d97b657c9ae84e047d9fd581107b1b16f66e36210eaa0a636687",
"md5": "a54e1b9eada922b292feb40479e846ca",
"sha256": "1bb3f7e6317cdb50e1aee337b57e7e6db8df701225f0308738d6dd4ea5b45a26"
},
"downloads": -1,
"filename": "h2w_aesoppy-1.2.0.tar.gz",
"has_sig": false,
"md5_digest": "a54e1b9eada922b292feb40479e846ca",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 8744,
"upload_time": "2025-02-02T22:15:30",
"upload_time_iso_8601": "2025-02-02T22:15:30.037514Z",
"url": "https://files.pythonhosted.org/packages/3b/ab/83cc76a8d97b657c9ae84e047d9fd581107b1b16f66e36210eaa0a636687/h2w_aesoppy-1.2.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-02-02 22:15:30",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "harveywargo2",
"github_project": "h2w-aesoppy",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "pandas",
"specs": []
},
{
"name": "requests",
"specs": []
},
{
"name": "datetime",
"specs": []
}
],
"lcname": "h2w-aesoppy"
}
