but now that we can read the chart betterwe see that the data is not plotted correctly notice at the end of the graph that the square of is shown as let' fix that when you give plot( sequence of numbersit assumes the first data point corresponds to an -coordinate value of but our first point corresponds to an -value of we can override the default behavior by giving plot(both the input and output values used to calculate the squaresmpl_squares py import matplotlib pyplot as plt input_values [ squares [ plt plot(input_valuessquareslinewidth= set chart title and label axes --snip-now plot(will graph the data correctly because we've provided both the input and output valuesso it doesn' have to assume how the output numbers were generated the resulting plotshown in figure - is correct figure - the data is now plotted correctly you can specify numerous arguments when using plot(and use number of functions to customize your plots we'll continue to explore these customization functions as we work with more interesting data sets throughout this plotting and styling individual points with scatter(sometimes it' useful to be able to plot and style individual points based on certain characteristics for exampleyou might plot small values in one