Tutorial by Examples: axes

Matplotlib axes are two-dimensional by default. In order to create three-dimensional plots, we need to import the Axes3D class from the mplot3d toolkit, that will enable a new kind of projection for an axes, namely '3d': import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fi...

There are two main ways to create an axes in matplotlib: using pyplot, or using the object-oriented API. Using pyplot: import matplotlib.pyplot as plt ax = plt.subplot(3, 2, 1) # 3 rows, 2 columns, the first subplot Using the object-oriented API: import matplotlib.pyplot as plt fig = ...

g + geom_bar(mapping = aes(x = cut, fill = clarity), position = "dodge") + theme(axis.text = element_text(colour = "red", size = 12))

g + geom_histogram(aes(price, fill = cut), binwidth = 500) + labs(x = "Price", y = "Number of diamonds", title = "Distribution of prices \n across Cuts") + theme(plot.title = element_text(colour = "red", face = "italic"), ...

If you call plt.legend() or ax.legend() more than once, the first legend is removed and a new one is drawn. According the official documentation: This has been done so that it is possible to call legend() repeatedly to update the legend to the latest handles on the Axes Fear not, though: It ...