matplotlib¶

Types of Plots¶

Function	Chapter	Description
`plt.scatter(x, y)`	Data Visualization	Creates a scatter plot of the variable x against the variable y
`plt.plot(x, y)`	Data Visualization	Creates a line plot of the variable x against the variable y
`plt.hist(x, bins=None)`	Data Visualization	Creates a histogram of x. Bins argument can be an integer or sequence
`plt.bar(x, height)`	Data Visualization	Creates a bar plot. `x` specifies x-coordinates of bars, `height` specifies heights of the bars
`plt.axvline(x=0)`	Data Visualization	Creates a vertical line at the x value specified
`plt.axhline(y=0)`	Data Visualization	Creates a horizontal line at the y value specified

Function	Chapter	Description
`%matplotlib inline`	Data Visualization	Causes output of plotting commands to be displayed inline
`plt.figure(figsize=(3, 5))`	Data Visualization	Creates a figure with a width of 3 inches and a height of 5 inches
`plt.xlim(xmin, xmax)`	Data Visualization	Sets the x-limits of the current axes
`plt.xlabel(label)`	Data Visualization	Sets an x-axis label of the current axes
`plt.title(label)`	Data Visualization	Sets a title of the current axes
`plt.legend(x, height)`	Data Visualization	Places a legend on the axes
`fig, ax = plt.subplots()`	Data Visualization	Creates a figure and set of subplots
`plt.show()`	Data Visualization	Displays a figure