In the previous recipes, while creating our first charts and enhancing them, we hard-coded the scaling of how those values are visually represented.

While this served us well for the values we were using, we often plot charts from very large databases.

Depending on the range of that data, our hard-coded values for the vertical y-dimension might not always be the best solution, which may make it hard to see the lines in our charts.

axis  = fig.add_subplot(111)        # 1 row, 1 column

xValues  = [1,2,3,4]

yValues0 = [6,7.5,8,7.5]
yValues1 = [5.5,6.5,50,6]           # one very high value
yValues2...