{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# Exercise 4.5: Heat maps with Bokeh\n", "\n", "<hr>"]}, {"cell_type": "markdown", "metadata": {}, "source": ["A [heat map](https://en.wikipedia.org/wiki/Heat_map) is a type of plot where magnitude is expressed in terms of color. You can see an example of a heatmap generated using Bokeh [here](https://docs.bokeh.org/en/latest/docs/gallery/unemployment.html).\n", "\n", "**a)** Write a function with call signature `heatmap(x, y, z)` (you can add any kwargs you like) that make a heat map from x, y, z data. For simplicity for this function, assume `x` and `y` are categorical variables.\n", "\n", "**b)** 96 well plates are often used in analyzing biochemical reactions. Some absorbance data from a 96 well plate experiment are in the file `~git/bootcamp/data/96_well.csv`. Use your `heatmap()` function to make a display of the data."]}, {"cell_type": "markdown", "metadata": {}, "source": ["<br />"]}], "metadata": {"kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12"}}, "nbformat": 4, "nbformat_minor": 4}