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"# Plotly Express: a Walkthrough\n",
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"This notebook is the executable version of the example we walk through in our [Medium announcement article](https://medium.com/@plotlygraphs/introducing-plotly-express-808df010143d) introducing [Plotly Express](https://plotly.express): a terse, consistent, high-level wrapper around Plotly.py for rapid data exploration and figure generation.\n",
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"Plotly Express is now part of the main Plotly.py package, so to install it, just follow our [Getting Started guide](https://plot.ly/python/getting-started/) and remember to install the JupyterLab extensions if you're using JupyterLab, otherwise things won't work!"
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"Once you import Plotly Express (aka `px`), most plots are made with just one function call that accepts a [tidy Pandas data frame](http://www.jeannicholashould.com/tidy-data-in-python.html), and a simple description of the plot you want to make. For example if you want a simple scatter plot, it’s just `px.scatter(data, x=\"column_name\", y=\"column_name\")`. Here’s an example with the [Gapminder dataset](https://www.gapminder.org/tools/#$state$time$value=2007;;&chart-type=bubbles) – which comes built-in! – showing life expectancy vs GPD per capita by country for 2007:\n"
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