Matplotlib Tutorial - Axis Titles
In this tutorial, we will learn about axis titles in Matplotlib.
Matplotlib axis titles
matplotlib.pyplot.title(label, fontdict=None, loc=None, **kwargs)
It is used to set the title of the current axis.
parameter
| name | Data Types | describe |
|---|---|---|
label |
str |
Label text |
fontdict |
dict |
Label text font dictionary, such as font family, color, weight, and size |
loc |
str |
The position of the title. It has three options, {'center', 'left', 'right'}. The default option iscenter |
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 4 * np.pi, 1000)
y = np.sin(x)
plt.figure(figsize=(4, 3))
plt.plot(x, y, "r")
plt.xlabel(
"Time (s)",
size=16,
)
plt.ylabel("Value", size=16)
plt.title(
"Title Example",
fontdict={"family": "serif", "color": "darkblue", "weight": "bold", "size": 18},
)
plt.grid(True)
plt.show()
plt.title(
"Title Example",
fontdict={"family": "serif", "color": "darkblue", "weight": "bold", "size": 18},
)
Multiple titles on axes
An axis can contain up to three titles left, , centerand right. The position of a particular title is specified by locthe parameter.
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 4 * np.pi, 1000)
y = np.sin(x)
plt.figure(figsize=(8, 6))
plt.plot(x, y, "r")
plt.xlabel(
"Time (s)",
size=16,
)
plt.ylabel("Value", size=16)
plt.title(
"Left title",
fontdict={"family": "serif", "color": "darkblue", "weight": "bold", "size": 16},
loc="left",
)
plt.title(
"Center title",
fontdict={"family": "monospace", "color": "red", "weight": "bold", "size": 16},
loc="center",
)
plt.title(
"Right title",
fontdict={"family": "fantasy", "color": "black", "weight": "bold", "size": 16},
loc="right",
)
plt.grid(True)
plt.show()Place axis titles inside the plot
You can also place a title inside the plot using positon=(m, n)or equivalent options . Here, and are numbers between 0.0 and 1.0.x = m, y = nmn
Position (0, 0)is the lower left corner of the graph, and position (1.0, 1.0)is the upper right corner.
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 4 * np.pi, 1000)
y = np.sin(x)
plt.figure(figsize=(6, 4.5))
plt.plot(x, y, "r")
plt.xlabel("Time (s)", size=16)
plt.ylabel("Value", size=16)
plt.title(
"Title Example",
position=(0.5, 0.9),
fontdict={"family": "serif", "color": "darkblue", "weight": "bold", "size": 16},
)
plt.show()For reprinting, please send an email to 1244347461@qq.com for approval. After obtaining the author's consent, kindly include the source as a link.
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