Week 5 glossary

Week 5 glossary#

Online resources#

The official matplotlib documentation can be found in https://matplotlib.org/stable/api/index.html (note: we are using the “axes interface”)

In addition, you may find the cheatsheets provided by matplotlib (https://matplotlib.org/cheatsheets/) useful.

Numpy syntax#

  • +, -, *, /, //, %, **: arithmetic operators on multi-dimensional numpy arrays<br><br>

  • []: indexing operators on multi-dimensional numpy array

  • : : operator to create slicing object of form start:stop:step

Numpy attributes, functions and methods#

Numpy array attributes#

  • <ndarray>.size: the size (number of entries) of a numpy array

  • <ndarray>.shape: the shape of a numpy array

  • <ndarray>.ndim: number of dimensions of the numpy array

Numpy array methods#

  • <ndarray>.reshape(): reshape an numpy array

  • <ndarray>.flatten(): flatten a multi-dimensional array to 1D

  • <ndarray>.transpose(): transpose the rows and columns of a 2D numpy array

Numpy array combining functions#

  • np.concatenate(): concatenate numpy arrays along a specified axis

  • np.vstack(): combine 2D numpy arrays vertically (i.e., extending rows)

  • np.hstack(): combine 2D numpy arrays horizonatal (i.e., extending columns)

Numpy mapping functions#

  • np.exp(), np.sin(), etc. Functions that applying a mapping to each element of a multi-dimensional array (for a more complete list, see the glossary of week 4)

Numpy reduction functions#

  • np.mean(), np.sum(), etc. Functions that apply reduction along particular axis / axes or across the whole multi-dimensional array (for a more complete list, see the glossary of week 4)

matplotlib functions#

Creating, showing, and exporting figures and axes#

  • plt.figure(): create a new figure

  • <Figure>.add_subplot(): add new axes object to a Figure instance

  • <Figure>.savefig(): save a figure to an external file

  • plt.show(): show a figure already created

Making different types of visualization#

  • <Axes>.plot(): create a line plot on an Axes instance

  • <Axes>.scatter(): create a scatter plot on an Axes instance

  • <Axes>.errorbar(): create an error bar plot on an Axes instance

  • <Axes>.bar(): create a bar plot on an Axes instance

  • <Axes>.hist(): create a histogram on an Axes instance

Axes and titles#

  • <Axes>.set_title(): set the title of the figure, for an Axes instance

  • <Axes>.set_xlabel(), <Axes>.set_ylabel(): set the labels for x- and y-axis, respectively, for an Axes instance

  • <Axes>.set_xlim(), <Axes>.set_ylim(): set the x- and y-axis limits, respectively, for an Axes instance

  • <Axes>.set_xticks(), <Axes>.set_yticks(): set the ticks for x- and y-axis, respectively, for an Axes instance

  • <Axes>.tick_params(): set the parameters for ticks (e.g., font size for tick labels), for an Axes instance

  • <Axes>.grid(): create a grid overlay for an Axes instance

  • <Axes>.legend(): create a legend for an Axes instance

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