crash course in matplotlib your data is only as good as you can present it to other peoplereallyso let' talk about plotting and graphing your data and how to present it to others and make your graphs look pretty we're going to introduce matplotlib more thoroughly and put it through its paces 'll show you few tricks on how to make your graphs as pretty as you can let' have some fun with graphs it' always good to make pretty pictures out of your work this will give you some more tools in your tool chest for visualizing different types of data using different types of graphs and making it look pretty we'll use different colorsdifferent line stylesdifferent axesthings like that it' not only important to use graphs and data visualization to try to find interesting patterns in your databut it' also interesting to present your findings well to non-technical audience without further adolet' dive in to matplotlib go ahead and open up the bu mpu-jcjqzoc file and you can play around with this stuff along with me we'll start by just drawing simple line graph nbuqmpumjcjomjof gspntdjqztubutjnqpsuopsn jnqpsunbuqmpumjcqzqmpubtqmu jnqpsuovnqzbtoq oqbsbohf qmuqmpu opsnqeg qmutipx so in this examplei import nbuqmpumjcqzqmpu as qmuand with thiswe can refer to it as qmu from now on in this notebook theni use oqbsbohf to create an xaxis filled with values between and at increments of and use qzqmpu' qmpu function to plot the function will be opsnqeg so ' going to create probability density function with normal distribution based on the valuesand ' using the tdjqztubutopsn package to do that