Examples of integration of Python function drawing and advanced algebra (2): Flashpoint function
1: Limit graph drawing
# -*- coding: utf-8 -*-
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
'''
Function: draw a limit plot on the coordinate axis Call signature
: plt.polar(theta)
parameter description :
theta: the angle between the ray where each mark is located and the limit
r: the distance between each mark and the origin
'''
# Set the Chinese display font
mpl.rcParams["font.sans-serif"] = ["SimHei"]
# Set Normally display symbols
mpl.rcParams["axes.unicode_minus"] = False
# The number of five-pointed stars
barSlices = 26
theta = np.linspace(0.0, 2 * np.pi, barSlices, endpoint=False)
r = 30 * np. random.rand(barSlices)
plt.polar(theta, r,
color="chartreuse",
linewidth=1,
marker="*",
mfc="b",
ms=20) # ms=20 The size of the five-pointed star
plt.title("Example of Limit Chart Drawing")
plt.show()
2: Limit graph drawing operation effect
Three: Bubble chart drawing
# -*- coding: utf-8 -*-
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
'''
Function function: Two-dimensional data displays three-dimensional data with the help of bubble size
Call signature: plt.scatter(x, y)
Parameter description:
x: data on the x-axis
y: data on the y-axis
s: size of the scatter mark
c: color of the scatter mark
cmap: color mapping table that maps floating point numbers into colors
'''
# Settings Chinese display font
mpl.rcParams["font.sans-serif"] = ["SimHei"]
# Set the normal display symbol
mpl.rcParams["axes.unicode_minus"] = False
# Random seed density
a = np.random.randn( 200)
# Random seed density
b = np.random.randn(200)
plt.scatter(a, b, s=np.power(10 * a + 20 * b, 2),
c=np.random.rand(200 ),
cmap='twilight_shifted', # twilight_shifted
'Pastel2', 'Pastel2_r',
'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu ', 'RdBu_r',
'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', .
marker="o") # marker="o" Bubble shape
'''
cmap supports the following values, different values have different effects
'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', ' BrBG_r', 'BuGn', 'BuGn_r',
'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r
' , 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', '
Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r',
' Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r','Spectral', 'Spectral_r', 'Wistia',
'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r',
'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis','bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis','bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis',
'cividis_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'cubehelix', 'cubehelix_r',
'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar',
'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', 'gist_yarg_r',
'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'inferno',
'inferno_r', 'jet', 'jet_r', 'magma', 'magma_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r',
'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r', 'seismic', 'seismic_r',
'spring', 'spring_r', 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b', 'tab20b_r', 'terrain_r', 'turbo', '
'tab20c', 'tab20c_r', 'terrain',
'terrain_r', 'turbo', 'turbo_r', 'twilight', 'twilight_r', 'twilight_shifted', 'twilight_shifted_r', '
viridis', 'viridis_r', 'winter', 'winter_r' '
''
plt.title( "Scatter Random Bubble Chart Example")
plt.show()
Four: Bubble chart drawing operation effect
Five: Cotton swab drawing
# -*- coding: utf-8 -*-
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
'''
Function function: draw discrete ordered data
Call signature: plt.stem(x, y)
parameter description :
x: Specify the position on the x-axis baseline of the cotton swab
y: Draw the length of the cotton swab
linefmt: The style of the cotton swab
markerfmt: The style of the end of the cotton swab
basefmt: Specify the style of the baseline
'''
# 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(0.5, 2 * np.pi, 20)
y = np.random.randn(20)
plt.stem(x, y, linefmt="-.", markerfmt="o", basefmt="-")
plt.title("Drawing cotton swab diagram")
plt.xlabel("X-axis coordinate axis")
plt.ylabel("Y-axis coordinate axis")
plt.show()
Six: Cotton swab diagram drawing operation effect
