matplotlib 基礎

In?[2]:

import matplotlib as mpl import matplotlib.pyplot as plt

In?[4]:

import numpy as np x=np.linspace(0, 10 ,100)

In?[5]:

x

Out[5]:

array([ 0. , 0.1010101 , 0.2020202 , 0.3030303 , 0.4040404 ,0.50505051, 0.60606061, 0.70707071, 0.80808081, 0.90909091,1.01010101, 1.11111111, 1.21212121, 1.31313131, 1.41414141,1.51515152, 1.61616162, 1.71717172, 1.81818182, 1.91919192,2.02020202, 2.12121212, 2.22222222, 2.32323232, 2.42424242,2.52525253, 2.62626263, 2.72727273, 2.82828283, 2.92929293,3.03030303, 3.13131313, 3.23232323, 3.33333333, 3.43434343,3.53535354, 3.63636364, 3.73737374, 3.83838384, 3.93939394,4.04040404, 4.14141414, 4.24242424, 4.34343434, 4.44444444,4.54545455, 4.64646465, 4.74747475, 4.84848485, 4.94949495,5.05050505, 5.15151515, 5.25252525, 5.35353535, 5.45454545,5.55555556, 5.65656566, 5.75757576, 5.85858586, 5.95959596,6.06060606, 6.16161616, 6.26262626, 6.36363636, 6.46464646,6.56565657, 6.66666667, 6.76767677, 6.86868687, 6.96969697,7.07070707, 7.17171717, 7.27272727, 7.37373737, 7.47474747,7.57575758, 7.67676768, 7.77777778, 7.87878788, 7.97979798,8.08080808, 8.18181818, 8.28282828, 8.38383838, 8.48484848,8.58585859, 8.68686869, 8.78787879, 8.88888889, 8.98989899,9.09090909, 9.19191919, 9.29292929, 9.39393939, 9.49494949,9.5959596 , 9.6969697 , 9.7979798 , 9.8989899 , 10. ])

In?[6]:

y = np.sin(x)

In?[7]:

y

Out[7]:

array([ 0. , 0.10083842, 0.20064886, 0.2984138 , 0.39313661,0.48385164, 0.56963411, 0.64960951, 0.72296256, 0.78894546,0.84688556, 0.8961922 , 0.93636273, 0.96698762, 0.98775469,0.99845223, 0.99897117, 0.98930624, 0.96955595, 0.93992165,0.90070545, 0.85230712, 0.79522006, 0.73002623, 0.65739025,0.57805259, 0.49282204, 0.40256749, 0.30820902, 0.21070855,0.11106004, 0.01027934, -0.09060615, -0.19056796, -0.28858706,-0.38366419, -0.47483011, -0.56115544, -0.64176014, -0.7158225 ,-0.7825875 , -0.84137452, -0.89158426, -0.93270486, -0.96431712,-0.98609877, -0.99782778, -0.99938456, -0.99075324, -0.97202182,-0.94338126, -0.90512352, -0.85763861, -0.80141062, -0.73701276,-0.66510151, -0.58640998, -0.50174037, -0.41195583, -0.31797166,-0.22074597, -0.12126992, -0.0205576 , 0.0803643 , 0.18046693,0.27872982, 0.37415123, 0.46575841, 0.55261747, 0.63384295,0.7086068 , 0.77614685, 0.83577457, 0.8868821 , 0.92894843,0.96154471, 0.98433866, 0.99709789, 0.99969234, 0.99209556,0.97438499, 0.94674118, 0.90944594, 0.86287948, 0.8075165 ,0.74392141, 0.6727425 , 0.59470541, 0.51060568, 0.42130064,0.32770071, 0.23076008, 0.13146699, 0.03083368, -0.07011396,-0.17034683, -0.26884313, -0.36459873, -0.45663749, -0.54402111])

In?[8]:

plt.plot(x, y)

Out[8]:

[<matplotlib.lines.Line2D at 0x8ffddc4d90>]

In?[10]:

plt.show()

In?[11]:

cosy =np.cos(x)

In?[12]:

cosy.shape

Out[12]:

(100,)

In?[13]:

siny= y.copy()

In?[15]:

plt.plot(x, siny) plt.plot(x, cosy)

Out[15]:

[<matplotlib.lines.Line2D at 0x8ffe5adb50>]

In?[16]:

plt.plot(x, siny) plt.plot(x, cosy,color="red")

Out[16]:

[<matplotlib.lines.Line2D at 0x8ffe615850>]

In?[17]:

plt.plot(x, siny) plt.plot(x, cosy,color="red",linestyle="--")

Out[17]:

[<matplotlib.lines.Line2D at 0x8ffe6784f0>]

In?[22]:

plt.plot(x, siny) plt.plot(x, cosy,color="red",linestyle="--") plt.xlim(-5, 15) plt.ylim(0,1.5)

Out[22]:

(0.0, 1.5)

In?[24]:

plt.plot(x, siny) plt.plot(x, cosy,color="red",linestyle="--") plt.axis([-1,11,-2,2])

Out[24]:

(-1.0, 11.0, -2.0, 2.0)

In?[28]:

plt.plot(x, siny, label="sin(x)") plt.plot(x, cosy,color="red",linestyle="--", label="cos(x)") plt.xlabel("x axis") plt.ylabel("y value ") plt.legend()

Out[28]:

<matplotlib.legend.Legend at 0x8ffe569940>

In?[31]:

plt.plot(x, siny, label="sin(x)") plt.plot(x, cosy,color="red",linestyle="--", label="cos(x)") plt.xlabel("x axis") plt.ylabel("y value") plt.title("Welcome to the ML World") #標題不支持中文？ plt.legend()

Out[31]:

<matplotlib.legend.Legend at 0x8ffe9984f0>

Scattwe Plot

In?[33]:

plt.scatter(x, siny)

Out[33]:

<matplotlib.collections.PathCollection at 0x8ffea17f70>

In?[34]:

plt.scatter(x,siny) plt.scatter(x,cosy,color="red")

Out[34]:

<matplotlib.collections.PathCollection at 0x8ffea8bb50>

In?[38]:

x= np.random.normal(0,1,10000) y= np.random.normal(0,1,10000)plt.scatter(x,y,alpha=0.1)

Out[38]:

<matplotlib.collections.PathCollection at 0x8fffbd2df0>

In?[?]:

總結

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