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basic.py
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134 lines (103 loc) · 2.95 KB
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# _*_ coding:utf-8 _*_
"""
This file is about `matplotlib`
Mainly cited from http://matplotlib.org/users/pyplot_tutorial.html
"""
import matplotlib.pyplot as plt
import numpy as np
import random
def basic_linear():
y_lst = [1, 2, 3, 4]
# y_lst = random.sample(range(80000), 500)
plt.plot(y_lst)
plt.ylabel('y axis value')
plt.show()
def plot_x1_y4():
"""
plot a line x = 1
:return:
"""
plt.plot([0, 0], [0, 4], color='red', linewidth=3.0)
plt.axis([-1, 1, -4, 4])
plt.show()
def basic_curve():
x = np.linspace(0, 2, 11)
print x
y = x ** 3 - 5 * x ** 2 + 6 * x + 1
print y
# plt.plot(x, y, 'r-')
# plt.plot(x, y)
lines = plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
plt.setp(lines, color='r')
plt.show()
# plt.axis([0, 100, 0, 100])
def multi_curve():
t = np.arange(0., 5., 0.2)
print t
# plt.plot(t, t, 'r-', t, t**2, 'bs', t, t**3, 'g^')
# plt.show()
def f(t):
return np.exp(-t) * np.cos(2 * np.pi * t)
def multi_figure():
plt.figure(1) # the first figure
plt.subplot(211) # the first subplot in the first figure
plt.plot([1, 2, 3])
plt.subplot(212) # the second subplot in the first figure
plt.plot([4, 5, 6, 7, 11])
plt.figure(2) # a second figure
plt.plot([4, 5, 6]) # creates a subplot(111) by default
plt.figure(1) # figure 1 current; subplot(212) still current
plt.subplot(211) # make subplot(211) in figure1 current
plt.title('Easy as 1, 2, 3') # subplot 211 title
plt.show()
def multi_figure_two():
t1 = np.arange(0., 5, 0.1)
t2 = np.arange(0., 5, 0.02)
plt.figure(1)
plt.subplot(211)
plt.plot(t1, f(t1), 'k')
plt.subplot(212)
plt.plot(t2, np.cos(2 * np.pi * t2), 'bo')
plt.show()
def histogram():
x_mul = [np.random.randn(n) for n in [1000, 1000, 1000]]
print x_mul
bin = 10
plt.hist(x_mul, bin)
plt.show()
def histogram_two():
x_mul = [random.sample(range(0, 100), n) for n in [60, 50, 70]]
print x_mul[0]
print x_mul[1]
print x_mul[2]
bin = 10
plt.hist(x_mul, bin)
plt.show()
def plot_2d():
x = [1, 2, 3, 4, 5, 6, 7]
y = [2.6, 3.6, 8.3, 56, 12.7, 8.9, 5.3]
plt.plot(x, y) # plot line
# plt.scatter(x, y) # plot scatter
plt.show()
def plot_orthogonal():
arr = np.array([[-0.85389096, -0.52045195], [0.52045195, -0.85389096]])
# arr = np.array([[1, -1], [1, 1]])
v1_x, v2_x = [arr[:, 0][0], 0], [arr[:, 1][0], 0]
v1_y, v2_y = [arr[:, 0][1], 0], [arr[:, 1][1], 0]
plt.plot(v1_x, v1_y)
plt.plot(v2_x, v2_y)
# plt.axis([-1, 1, -1, 1])
# set the below bound, or the line won't seem orthogonal
# plt.axis([-0.85389096, 0.52045195, -0.85389096, 0.52045195])
plt.show()
if __name__ == '__main__':
plot_orthogonal()
# plot_2d()
# basic_linear()
# basic_curve()
# multi_curve()
# multi_figure()
# multi_figure_two()
# histogram()
# histogram_two()
pass