python plot
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
plt.show()python plot
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
plt.show()plot using matplotlib
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4])
plt.ylabel('some numbers')
plt.show()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')Use matplotlib in python
import matplotlib.pyplot as plt # Import the matplotlib module
from matplotlib import style # Optionally you dont need to use style
style.use('ggplot') # Just for style
x = [10, 20, 30, 40, 50] # Get points to plot on graph
plt.plot(x) # We want to plot x on our graph
plt.show()how do a plot on matplotlib python
import matplotlib.pyplot as plt
%matplotlib inline
plt.plot(data)
#this is not nessisary but makes your plot more readable
plt.ylabel('y axis means ...')
plt.xlabel('x axis means ...')Copyright © 2021 Codeinu
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