Python Programming
High School (11–12)
High School (9–10)
Undergraduate
General
Python for Science and Maths › NumPy ArraysChapter 1Arrays and Graphs
Work with whole tables of numbers in NumPy, and draw clear graphs with matplotlib.
Part of Python Programming · Science and Maths (chapter 1)
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NumPy Arrays
Science works with many numbers at once. A list can hold them, but it cannot do maths on them. The NumPy array can. In this course you make arrays with array, arange and linspace, write a formula once and use it on a whole array, pick numbers with indexes, slices and boolean masks, and find sums, averages and standard deviations of rows and columns of tables. You learn to be careful with slices, which are views and not copies, and with broadcasting, which lets arrays of different shapes work together. A project finds the best angle for a throw on Earth and on the Moon. The practice runs your code and tells you which results are wrong.
Graphs with matplotlib
A table of numbers hides what a graph shows at once. In this course you draw line graphs with plot, add titles, labels with units, legends and grids, and draw the graph of any formula with linspace. You choose between a line graph, a scatter plot, a bar chart and a histogram, and learn to read each one. You put several graphs in one picture with subplots, add error bars, use a log scale to recognise an exponential decay, and save a graph in a file. A project turns the measured positions of a toy car into the graphs of its speed and acceleration. The practice runs your code and looks at the graphs that you draw.