Tips and tricks

- [Instructor] We saw how to plot attendance,…and we saw how to plot with mat properly.…Now let's see how we can combine them together.…Say we'd like to have pandas plot…on the matplotlib access we created.…We can do this easily by supplying the ax key…with argument to panda's plotting functions.…We'll open a new notebook, and this one we'll call tips.…We're going to use some stock information here,…so the usual matplotlib inline…and import matplotlib.pyplot as plt,…and import pandas as pd.…

And now let's read the data.…df = pd.read_csv( 'lnkd.csv', and, parse_dates=['Date'],…and we'll also set the index column to be the date.…And let's take a look at what we have.…The usual stock information, date, open price,…high price, low price, close and volume.…Now let's create some access.…We're going to use subplots command.…So fig, and (ax1, ax2) = plt.subplots…and this time subplots in plural.…

One row, two column, and the figsize will be 15 and six.…And now we tell the data frame to plot only the April data,…2016-04, and the close column, and plot it…