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()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()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.how to import matplotlib.pyplo in python
import matplotlib.pylot as pltplot 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')Copyright © 2021 Codeinu
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