Creating a Canvas
matplotlib
has three layers:
- Backend layer: renders plot to screens or files;
- Artist layer: describes how data is arranged, is made up of one object,
Artist
; - Scripting layer: connects the previous two layers and simplifies access to them.
The main focus is on the scripting layer with the pyplot
module and the artist layer. The artist layer includes the following:
- Containers (e.g.
Figure
,Axes
); - Primitives (e.g., line, rectangle, circle, text, etc).
Figure
is the main Artist
object and can be thought of as a canvas where all the plots will be located. Basically, it holds everything together.
On the other hand, Axes
is an object made up of two axis objects, x-axis and y-axis.
Figure
= canvas, Axes
= x-axis + y-axis.
Now let's look at the creation of the Figure
and its Axes
:
1234import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot() plt.show()
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Creating a Canvas
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matplotlib
has three layers:
- Backend layer: renders plot to screens or files;
- Artist layer: describes how data is arranged, is made up of one object,
Artist
; - Scripting layer: connects the previous two layers and simplifies access to them.
The main focus is on the scripting layer with the pyplot
module and the artist layer. The artist layer includes the following:
- Containers (e.g.
Figure
,Axes
); - Primitives (e.g., line, rectangle, circle, text, etc).
Figure
is the main Artist
object and can be thought of as a canvas where all the plots will be located. Basically, it holds everything together.
On the other hand, Axes
is an object made up of two axis objects, x-axis and y-axis.
Figure
= canvas, Axes
= x-axis + y-axis.
Now let's look at the creation of the Figure
and its Axes
:
1234import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot() plt.show()
Thanks for your feedback!