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        "description": "# ibis-vega-transform <br /> [![binder logo](https://beta.mybinder.org/badge.svg)](https://mybinder.org/v2/gh/Quansight/ibis-vega-transform/master?urlpath=lab/tree/examples/vega-compiler.ipynb) [![Tests](https://github.com/Quansight/ibis-vega-transform/workflows/Run%20tests%20on%20example%20notebooks/badge.svg)](https://github.com/Quansight/ibis-vega-transform/actions?query=workflow%3A%22Run+tests+on+example+notebooks%22) [![](https://img.shields.io/pypi/v/ibis-vega-transform.svg?style=flat-square)](https://pypi.python.org/pypi/ibis-vega-transform) [![](https://img.shields.io/npm/v/ibis-vega-transform.svg?style=flat-square)](https://www.npmjs.com/package/ibis-vega-transform) ![Github Actions Status](https://github.com/Quansight/ibis-vega-transform/workflows/Build/badge.svg)[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Quansight/ibis-vega-transform/master?urlpath=lab)\n\nA JupyterLab extension for performing Vega transforms lazily using Ibis.\n\nPython evaluation of Vega transforms using Ibis expressions.\n\nFor inspiration, see https://github.com/jakevdp/altair-transform\n\nThis extension is composed of a Python package named `ibis-vega-transform`\nfor the server extension and a NPM package named `ibis-vega-transform`\nfor the frontend extension.\n\n## Requirements\n\n- JupyterLab >= 3.0\n\n## Getting started\n\n```sh\npip install ibis-vega-transform\n```\n\nThen in a notebook, import the Python package and pass in an ibis expression\nto a Altair chart:\n\n```python\nimport altair as alt\nimport ibis_vega_transform\nimport ibis\nimport pandas as pd\n\n\nsource = pd.DataFrame({\n    'a': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],\n    'b': [28, 55, 43, 91, 81, 53, 19, 87, 52]\n})\n\n# or ibis.pandas if ibis version < 1.4\nconnection = ibis.backends.pandas.connect({'source': source })\ntable = connection.table('source')\n\nalt.Chart(table).mark_bar().encode(\n    x='a',\n    y='b'\n)\n```\n\nCheck out the notebooks in the [`./examples/`](./examples/) directory to see\nsome options using interactive charts and the OmniSci backend.\n\n## Usage\n\nImporting `ibis_vega_transform` sets the `altair` renderer and data transformer to `\"ibis\"`. It also monkeypatches the Ibis chart constructor to handle `ibis` expressions.\n\nNow, whenever you pass an `ibis` expression to a chart constructor, it will use the custom ibis renderer, which pushes all data aggregates to ibis, instead of in the browser.\n\nYou can also set a debug flag, to have it instead pull in the first N rows of the ibis expression and use the default renderer. This is useful to see how the default pipeline would have rendered your chart. If you are getting some error, I reccomend setting this first to see if the error was on the Altair side or on the `ibis-vega-transform` side. If the fallback chart rendered correctly, it means the error is in this codebase. If it's wrong, then the error is in your code or in altair or in Vega.\n\n```python\n# enable fallback mode\nibis_vega_transform.set_fallback(True)\n# disable fallback mode (the default)\nibis_vega_transform.set_fallback(False)\n```\n\n### Tracing\n\nIf you want to see traces of the interactions for debugging and performance analysis,\ninstall the `jaeger-all-in-one` binary and the `jupyterlab-server-proxy`\nlab extension to see the Jaeger icon in the launcher.\n\n```bash\nconda install jaeger -c conda-forge\njupyter labextension install jupyterlab-server-proxy-saulshanabrook\n```\n\nThe Jaeger server won't actually be started until a HTTP request is sent to it,\nso before you run your visualization, click the \"Jaeger\" icon in the JupyterLab launcher or go to\n`/jaeger` to open the UI. Then run your visualization and you should see the traces appear in Jaeger.\n\nYou also will likely have to increase the max UDP packet size on your OS to [accomdate for the large logs](https://github.com/jaegertracing/jaeger-client-node/issues/124#issuecomment-324222456):\n\n### Mac\n\n```sh\n# Edit now\nsudo sysctl net.inet.udp.maxdgram=200000\n# Edit on restart\necho net.inet.udp.maxdgram=200000 | sudo tee -a /etc/sysctl.conf\n```\n\n## Troubleshoot\n\nIf you are seeing the frontend extension, but it is not working, check\nthat the server extension is enabled:\n\n```bash\njupyter server extension list\n```\n\nIf the server extension is installed and enabled, but you are not seeing\nthe frontend extension, check the frontend extension is installed:\n\n```bash\njupyter labextension list\n```\n\n## Contributing\n\n### Development install\n\nNote: You will need NodeJS to build the extension package.\n\nThe `jlpm` command is JupyterLab's pinned version of\n[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use\n`yarn` or `npm` in lieu of `jlpm` below.\n\n```bash\n# Clone the repo to your local environment\ngit clone git@github.com:Quansight/ibis-vega-transform.git\n\n# Change directory to the ibis-vega-transform directory and\n# Create a conda environment\ncd ibis-vega-transform\nconda env create -f binder/environment.yml\nconda activate ibis-vega-transform\n\n# Install package in development mode\npip install -e .\n# Link your development version of the extension with JupyterLab\njupyter labextension develop . --overwrite\n# Rebuild extension Typescript source after making changes\njlpm run build\n```\n\nYou can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.\n\n```bash\n# Watch the source directory in one terminal, automatically rebuilding when needed\njlpm run watch\n# Run JupyterLab in another terminal\njupyter lab\n```\n\nWith the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).\n\nBy default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:\n\n```bash\njupyter lab build --minimize=False\n```\n\nA pre-commit hook is installed usig Husky (Git > 2.13 is required!) to format files.\n\nRun the formatting tools at any time using:\n\n```sh\nblack ibis_vega_transform\njlpm run prettier\n```\n\n### Tracing\n\nWe are using [`jupyter-jaeger`](https://github.com/Quansight/jupyter-jaeger) to trace each interaction\nfor benchmarking.\n\n### Uninstall\n\n```bash\npip uninstall ibis-vega-transform\n```\n\n\n",
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