Example of integration of Python function drawing and advanced algebra (2): Scatter function
1: Function plot(), showing the changing trend of variables
import numpy as np
import matplotlib.pyplot as plt
from pylab import mpl
'''
Function function: Find the relationship between variables
Call signature: plt.scatter(x,y,c="b" label="scatter function, find variables Example of the relationship between "")
Parameter description:
x: value on the x axis
y: value on the y axis
c: color of the mark in the flash point diagram
label: label for marking the graphic content
'''
# Set the Chinese display font
mpl .rcParams["font.sans-serif"] = ["SimHei"]
# Set the normal display symbol
mpl.rcParams["axes.unicode_minus"] = False
x = np.linspace(0.05, 10, 5000)
y = np. random.rand(5000)
plt.scatter(x, y, label="scatter function, find instances of relationships between variables")
plt.legend()
plt.show()
2: The effect of plot function operation
Three: Set the X|Y axis value display range
import numpy as np
import matplotlib.pyplot as plt
from pylab import mpl
'''
Function function: Set the x-axis value display range
Call signature: plt.xlim(xmin,xmax)
Parameter description: xmin: the minimum value
xmax
on the X-axis : The
maximum
value
on
the ["SimHei"]
# Set the normal display symbol
mpl.rcParams["axes.unicode_minus"] = False
x = np.linspace(0.05, 10, 1000)
# Note: The random numbers taken for the x-axis and y-axis must be consistent, otherwise Error
y = np.random.rand(1000)
plt.scatter(x, y, label="xlim() function sets the numerical display range of the X-axis")
plt.legend()
# Set the X-axis value range
plt.xlim (0.05, 20)
# Set the value range of the Y axis
plt.ylim(0,3)
plt.show()
Four: Set the X|Y axis value range effect
