# HIDDEN
# Clear previously defined variables
%reset -f
# Set directory for data loading to work properly
import os
os.chdir(os.path.expanduser('~/notebooks/20'))
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 |
Plot additions¶
| 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 |