Basic Plotting
With an understanding of the matplotlib
architecture, proceed to create the first plot. Two common methods for creating a plot are demonstrated:
The scripting approach;
The object-oriented approach, involving explicit instantiation of
Artist
objects.
Scipting Approach
With this approach there is no need for you to explicitly create Figure
and Axes
object (it is done under the hood).
In 2D space, each point has x and y coordinates. To plot it, import the pyplot
submodule, use the plt
alias, initialize x
and y
variables, and call the plot()
function with x
and y
as arguments, along with 'o'
for the point marker.
The order of the arguments is important!
The plot is displayed with plt.show()
:
import matplotlib.pyplot as plt x = 5 y = 4 plt.plot(x, y, 'o') plt.show()
Object-oriented Approach
The only difference here is the use of the object-oriented approach: a Figure
and Axes
object are created using subplots()
, and the .plot()
method is called on the Axes
object with the same arguments.
import matplotlib.pyplot as plt x = 5 y = 4 fig, ax = plt.subplots() ax.plot(x, y, 'o') plt.show()
The following two lines are equivalent to plt.plot()
.
Both options remain equivalent even when using other plotting functions instead of plot()
. The course will mainly follow the scripting approach, though understanding both approaches is essential. Now, plot a point using the method of your choice.
Swipe to start coding
- Import the
pyplot
submodule from thematplotlib
library with theplt
alias. - Assign values
10
and2
to variablesx
andy
respectively. - Pass
x
andy
as arguments to theplot()
function, firstx
, theny
.
Solution
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