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    "info": {
        "author": "William Dry",
        "author_email": "wpbdry@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# dftogsheet\nA Python module for writing pandas DataFrame objects directly to Google Spreadsheets \\\ndftogsheet is maintained on\n[GitHub](https://github.com/wpbdry/dftogsheet_pkg)\nand\n[PyPI](https://pypi.org/project/dftogsheet/).\n\n## Install dftogsheet\n```shell\n$ pip install dftogsheet\n```\n\n## Setup\n1. Enable the\n[Google Sheets API](https://developers.google.com/sheets/api/quickstart/python).\n2. Enter a name for your project. This is the name that will be displayed when your\napp asks for permission to edit your spreadsheets in Google Drive later.\n2. Download `credentials.json` into `project-root-folder/.dftogsheet/credentials/` folder.\n\n## Simple usage\n```python\nimport pandas as pd\nimport dftogsheet\n\ndata_frame = pd.DataFrame()\ndftogsheet.write_to_sheet(data_frame, spreadsheet_id, sheet_name)\n```\n\n### Parameters\nThere are three mandatory parameters for the above function:\n- `data_frame` is any pandas DataFrame object.\n- `spreadsheet_id` is the part of the Google Spreadsheet URL\nthat is between `/d/` and `/edit`.\n- `sheet_name` is the name of the sheet within the Google spreadsheet.\nE.g. `Sheet1`.\n\n## Advanced usage\nWith only the above function, this library pretty much only does one thing.\nBut there is actually a lot more flexibility provided to you if you know what's going on.\nPlease look into the two functions in `dftogsheets/__init__.py` to understand what is going on\nunder the hood when you run the above code and to understand how you can use the `Sheet` class\nand its methods more powerfully. If you have any suggestions, you are always more than welcome\nto [contribute](#how-can-i-contribute) ;)\n\n### Changing scopes, valueInputOption, and location of credentials file\nWhat is the valueInputOption?\nRead [this page](https://developers.google.com/sheets/api/reference/rest/v4/ValueInputOption) \\\n\\\nThese settings are actually controlled by the `Config` class. A new instance of the `Config` class\nwith default values is created for you in `dftogsheet.write_section_to_sheet` so you don't have to\nthink about it for the sample code above. However, it is possible to fully customize\nthese configurations by creating your own `config` object for your project.\nPlease look into `dftogheets/config.py` to understand how you can do that.\n\n## What's new in version 0.0.7\n- Add `Sheet.overwrite()` method.\n- Include this method by default.\n\n## How can I contribute?\nThanks for asking! \\\nI appreciate everyone who contributes, no matter how you choose to do it. \\\nAnd if you feel like conforming to my workflow (which I try to stick to), that's great ;)\n\n### My workflow\n- Use [Gitflow Workflow](https://www.atlassian.com/git/tutorials/comparing-workflows/gitflow-workflow).\n- Include GitHub issue number in `feature` and `hotfix` branch names.\n- If an issue doesn't exist on GitHub, create one.\n- Include branch name in every commit message, even on `develop`.\n- Only small \"one commit\" fixes done directly on `develop`.\n- Commit style: imperitive sentences in all lower case except proper nouns.\n- Merge into `develop` using pull requests and keeping the entire commmit history.\n- Merge into `production` squshing commits and keeping only version number in commit message.\n- At some point I would like to automatically publish every release to pushed to `production` on PyPy.\n- If you add new dependencies, don't use `pip freeze > requirements.txt`. Add new dependencies manually.\nPackages we install can install their own dependencies.\n\n\n",
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        "license": "MIT",
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        "name": "dftogsheet",
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