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        "description": "# reportlib\nFlexible and powerful report library for Python or Python Notebooks with [Pandas](https://pandas.pydata.org/) and [Jinja2](https://pypi.org/project/Jinja2/) support\n\n<table>\n<tr>\n  <td>Latest Release</td>\n  <td>\n    <a href=\"https://pypi.org/project/reportlib/\">\n    <img src=\"https://img.shields.io/pypi/v/reportlib\" alt=\"latest release\" />\n    </a>\n  </td>\n</tr>\n<tr>\n  <td>License</td>\n  <td>\n    <a href=\"https://pypi.org/project/reportlib/\">\n    <img src=\"https://img.shields.io/pypi/l/reportlib\" alt=\"license\" />\n    </a>\n  </td>\n</tr>\n<tr>\n  <td>Python Version</td>\n  <td>\n    <a href=\"https://pypi.org/project/reportlib/\">\n    <img src=\"https://img.shields.io/pypi/pyversions/reportlib\" alt=\"python version\" />\n    </a>\n  </td>\n</tr>\n<tr>\n  <td>Wheel</td>\n  <td>\n    <a href=\"https://pypi.org/project/reportlib/\">\n    <img src=\"https://img.shields.io/pypi/wheel/reportlib\" alt=\"wheel\" />\n    </a>\n  </td>\n</tr>\n</table>\n\n## What is it?\n**reportlib** is a Python package providing fast and flexible utilities to decorate and render a report. Because it based on pandas's Styler, it is friendly with pandas DataFrame, so if you got your data, you can easily display and export it.\n\n## Main Features\nHere are just a few of the things that reportlib does well:\n- Powerful and flexible Styler based on [pandas's Styler](https://pandas.pydata.org/pandas-docs/stable/user_guide/style.html), friendly with pandas DataFrame, with more styling methods\n- Friendly with Email: The HTML output use inline-css, you can send via email and that email also can be forwarded\n- Friendly with Python Notebooks, so you can display Styler or Report in html\n- Config parser: from string to other data types, for quickly get config from environment or other config files\n- Customize everything with [Jinja2](https://pypi.org/project/Jinja2/) support: table head & foot (Styler), Report template, css\n\n## Where to get it\n\nThe source code is currently hosted on Teko's Gitlab at: https://git.teko.vn/data/libs/reportlib\n\nBinary installers for the latest released version are available at the [Python package index](https://pypi.org/project/reportlib)\n\n```\npip install reportlib\n```\n\n## Dependencies:\n- [css-html-js-minify](https://pypi.org/project/css-html-js-minify/): 2.5 or higher\n- [htmlmin](https://pypi.org/project/htmlmin/): 0.1 or higher\n- [Jinja2](https://pypi.org/project/Jinja2/): 2.10 or higher\n- [pandas](https://pypi.org/project/pandas/): 0.24 or higher\n- [python-dateutil](https://pypi.org/project/python-dateutil/): 2.8 or higher\n- [PyYAML](https://pypi.org/project/PyYAML/): 5.1 or higher\n- [premailer](https://pypi.org/project/premailer/): 3.5 or higher\n\n## Installation from sources:\nClone the repository then execute following command in the `reportlib` directory (same one where you found this file after cloning the git repo)\n```\npython setup.py install\n```\n\nAlternatively, you can use pip if you want all the dependencies pulled in automatically (the -e option is for installing it in development mode):\n```\npip install -e .\n```\n\n## Basic usage\n\n### Project structure\n```\nroot/ (or root/src/)\n |-+-templates/\n | |-styles.css\n |-report.py\n |-metadata.yml\n ...\n```\n\n### Config report\n```bash\nexport REPORT_DATE='2019-06-30'\n```\n\n### Render report\n```python\n\"\"\"report.py\"\"\"\n\nimport os\nimport pandas as pd\nimport numpy as np\nfrom datetime import datetime\nfrom dateutil.relativedelta import relativedelta\nimport reportlib\nfrom reportlib import Report, ConfigParser, Styler\n\n# Parse config from env\nconfig = ConfigParser(config=os.environ)\nreport_date = config.date('REPORT_DATE', default='yesterday')\n\n# Prepare data\ndf = pd.DataFrame(np.random.randn(8, 4), columns=['a', 'b', 'c', 'd'])\n\n# Config report\nreportlib.add_template_dir('templates')\nStyler.set_option('precision', 2)\nStyler.set_option('fillna', '-')\nStyler.set_option('fillinf', '-')\nStyler.set_option('fillzero', '-')\n\n# Initial generator\nreport = Report(\n  styles='styles.css',\n  title='Report Demo',\n  context={\n    'report_date': report_date\n  },\n)\n\n# Styling data\nstyle = (\n  Styler(df)\n  .add_class('bold highlight', subset=pd.IndexSlice[0:1, df.columns])  # Bold and Highlight some row by using class `highlight`\n  .add_class('text-right', columns=df.columns)  # Align right columns\n)\n\n# Add tables\nreport.add_table(style)\n\n# Run report\nhtml_string = report.render()\n\n# Or display it if you use a Python Notebook Interface like Jupyter\nreport.show()\n```\n\n## Full Documentation\nYou can found full documentation in [Wiki](https://git.teko.vn/data/libs/reportlib/wikis/Home)\n\n## Getting Help\nFor usage questions, the best place to go to is [Full Documentation](#full-documentation). Further, for general questions and discussions, you can [create an issue](https://git.teko.vn/data/libs/reportlib/issues) or contact me via email at nhat.nv@teko.vn or via [Teko's workplace](https://teko.facebook.com/profile.php?id=100015364246331)\n\n## Contributing to reportlib\nAll contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.\n\n",
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