Python draws a visual line chart

1. Use Numpy ndarray as data into ply

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

np.random.seed(1000)
y = np.random.standard_normal(10)
print "y = %s"% y
x =range(len(y))
print "x=%s"% x
plt.plot(y)
plt.show()

2. Functions for manipulating axes and adding grids and labels

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

np.random.seed(1000)
y = np.random.standard_normal(10)
plt.plot(y.cumsum())
plt.grid(True) ##Increase grid
plt.axis('tight') #Coordinate axis adaptation data amount axis set coordinate axis
plt.show()

3. plt.xlim and plt.ylim set the minimum and maximum values of each axis

#! /etc/bin/python
# coding=utf-8import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

np.random.seed(1000)
y = np.random.standard_normal(20)
plt.plot(y.cumsum())
plt.grid(True) ##Increase grid
plt.xlim(-1,20)
plt.ylim(np.min(y.cumsum())-1, np.max(y.cumsum())+1)

plt.show()

4. Add title and label plt.title, plt.xlabe, plt.ylabel discrete points, lines

#! /etc/bin/python
# coding=utf-8import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

np.random.seed(1000)
y = np.random.standard_normal(20)

plt.figure(figsize=(7,4)) #Canvas size
plt.plot(y.cumsum(),'b',lw =1.5) #Blue line
plt.plot(y.cumsum(),'ro') #Discrete points
plt.grid(True)
plt.axis('tight')
plt.xlabel('index')
plt.ylabel('value')
plt.title('A simple Plot')
plt.show()

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