Examples of integration of Python function drawing and advanced algebra (2): Flashpoint function
1: Draw box plot
# -*- coding: utf-8 -*-
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
'''
Function: draw box plot
Call signature: plt.boxplot(x)
Parameter Description:
x: input data for drawing box plot
'''
#Set Chinese display font
mpl.rcParams["font.sans-serif"] = ["SimHei"]
#Set normal display symbols
mpl.rcParams["axes.unicode_minus"] = False
x = np.random.randn(1000)
# Box plot
plt.boxplot(x)
plt.xticks([1], ["Random number generator AlphaRM"])
plt.ylabel("Random value")
plt.title("Stability of anti-interference ability of random number generator")
plt.grid(axis="y", ls=":", lw=1, color="gray", alpha=0.4)
plt.show()
2: Draw the box plot operation effect
Three: Draw an error bar graph
# -*- coding: utf-8 -*-
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
'''
Function: Draw the error range in the X|Y axis direction
Call signature: plt.errorbar(x, y, fmt="bo:", yerr=0.2, xerr=0.02)
Parameter Description:
x: horizontal position of data point
y: vertical position of data point
yerr: error calculation method for data points in the y-axis direction
xerr: error calculation method for data points in the x-axis direction
'''
#Set Chinese display font
mpl.rcParams["font.sans-serif"] = ["SimHei"]
#Set normal display symbols
mpl.rcParams["axes.unicode_minus"] = False
x = np.linspace(0.1, 0.6, 6)
y = np.exp(x)
plt.errorbar(x, y, fmt="bo:", yerr=0.2, xerr=0.02)
plt.xlim(0, 0.7)
plt.title("Error Bar Chart Example")
plt.xlabel("Error range in X-axis direction")
plt.ylabel("Error range in Y-axis direction")
plt.show()
Four: Draw the error bar graph operation effect
Five: Draw a stacked column chart
# -*- coding: utf-8 -*-
import matplotlib as mpl
import matplotlib.pyplot as plt
'''
Stacked bar chart: Set the value of the parameter bottom of the function bar() to the list y, and the list y1 = [2, 6, 3, 8, 5, 9, 3, 9, 2, 9] represents another set of test papers Number of copies of test paper
, the function bar(x,y1,bottom=y,color="r") will output a stacked histogram
'''
#Set Chinese display font
mpl.rcParams["font.sans-serif"] = ["SimHei"]
#Set normal display symbols
mpl.rcParams["axes.unicode_minus"] = False
# Some simple data
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y = [6, 10, 4, 5, 1, 14, 2, 6, 13, 3]
y1 = [2, 6, 3, 8, 5, 9, 3, 9, 2, 9]
#Create a histogram
plt.bar(x, y, align="center", color="#66c2a5", tick_label=["A", "B", "C", "D", "E", "F", "G", "H", "I", "J"],
label="Class A")
#bottom=y means y is stacked below y1
plt.bar(x, y1, align="center", bottom=y, color="#8da0cb", label="班级B")
#Set the label text of the x|y axis
plt.xlabel("Test difficulty level")
plt.ylabel("Number of Exam Papers")
plt.legend() # label="Class B" display legend
plt.title("Example of test paper difficulty and copy stacking chart")
plt.show()
Six: Draw the running effect of stacked chart histogram
