# -*- coding: utf-8 -*-

import matplotlib.pyplot as plt
import numpy as np

# 創(chuàng)建數(shù)據(jù)
x = np.linspace(-2, 2, 100)
y = 3 * x + 4

# 創(chuàng)建圖像
plt.plot(x, y)

# 顯示圖像
plt.show()

# -*- coding: utf-8 -*-

import numpy as np
import matplotlib.pyplot as plt

from matplotlib.ticker import NullFormatter

"""
多個子圖
"""

# 為了能夠復(fù)現(xiàn)
np.random.seed(1)

y = np.random.normal(loc=0.5, scale=0.4, size=1000)
y = y[(y > 0) & (y < 1)]
y.sort()
x = np.arange(len(y))

plt.figure(1)

# linear
# 使用.subplot()方法創(chuàng)建子圖，221表示2行2列第1個位置
plt.subplot(221)
plt.plot(x, y)
plt.yscale('linear')
plt.title('linear')
plt.grid(True)

# log
plt.subplot(222)
plt.plot(x, y)
plt.yscale('log')
plt.title('log')
plt.grid(True)

# symmetric log
plt.subplot(223)
plt.plot(x, y - y.mean())
plt.yscale('symlog', linthreshy=0.01)
plt.title('symlog')
plt.grid(True)

# logit
plt.subplot(224)
plt.plot(x, y)
plt.yscale('logit')
plt.title('logit')
plt.grid(True)
plt.gca().yaxis.set_minor_formatter(NullFormatter())
plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.25,
          wspace=0.35)

plt.show()

# -*- coding: utf-8 -*-

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np

"""
碗狀圖形
"""

fig = plt.figure(figsize=(8, 5))
ax1 = Axes3D(fig)

alpha = 0.8
r = np.linspace(-alpha, alpha, 100)
X, Y = np.meshgrid(r, r)
l = 1. / (1 + np.exp(-(X ** 2 + Y ** 2)))

ax1.plot_wireframe(X, Y, l)
ax1.plot_surface(X, Y, l, cmap=plt.get_cmap("rainbow")) # 彩虹配色
ax1.set_title("Bowl shape")

plt.show()