plot function in python code example

Example 1: how to plot a graph using matplotlib

from matplotlib import pyplot as plt
plt.plot([0, 1, 2, 3, 4, 5], [0, 1, 4, 9, 16, 25])
plt.show()

Example 2: plot function in numpy

import numpy as np 
from matplotlib import pyplot as plt 

x = np.arange(1,11) 
y = 2 * x + 5 
plt.title("Matplotlib demo") 
plt.xlabel("x axis caption") 
plt.ylabel("y axis caption") 
plt.plot(x,y) 
plt.show()

Example 3: python plot

import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
plt.show()

Example 4: plot in python

import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()
ax1 = fig.add_axes((0.1,0.4,0.5,0.5))

ax1.set_title('Title of Plot')
ax1.set_xlabel('X')
ax1.set_ylabel('Y')

ax1.plot(X,Y,c='black',linestyle='--',linewidth=0.5)
ax1.scatter(X,Y,c='red',s=0.5)
ax1.legend(['Line','Scatter'])

ax1.xaxis.set_ticks([0.0,0.1,0.2,0.3])
ax1.yaxis.set_ticks([0.0,0.1,0.2,0.3])

ax1.grid(which='major')
ax1.tick_params(direction='in')

txt = 'Write something on the graph page\
		\n over one or more lines.'

fig.text(0.5,0.05,txt,ha='center')

fig.savefig('Figure.pdf')

Example 5: how to plotting points on matplotlib

import matplotlib.pyplot as plt 
import numpy as np

data = np.random.rand(1024,2)
plt.scatter(data[:,0],data[:,1])
plt.show()
// Don't be
// fooled by this simplicity— plt.scatter() is a rich command.

Example 6: plot using matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4])
plt.ylabel('some numbers')
plt.show()