I need to designe a plot. I mostly use python and specially Matplotlib library for drawing plots. . I want to put patterns between two lines in python using Matplotlib library. The lines are drawn using two datasets. I have written the code like this-

import numpy as np    
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.ticker as tck


from operator import itemgetter
def Extractx(lst):
    return list( map(itemgetter(0), lst ))
def Extracty(lst):
    return list( map(itemgetter(1), lst ))


mpl.rcParams['text.latex.preamble'] = r'\usepackage{mathpazo}'

plt.rcParams['axes.linewidth'] = 2
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
plt.rcParams['axes.linewidth'] = 2









data1=np.array([[ 0.99279306, -0.88652153],
       [ 0.94748646, -0.84746458],
       [ 0.90216618, -0.81201794],
       [ 0.86066134, -0.76929599],
       [ 0.83042503, -0.75168207],
       [ 0.7851321 , -0.70901482],
       [ 0.75492314, -0.6841803 ],
       [ 0.72095345, -0.65217986],
       [ 0.67942126, -0.61667852],
       [ 0.65298671, -0.5953996 ],
       [ 0.62656583, -0.57051037],
       [ 0.57372409, -0.52073191],
       [ 0.54350145, -0.49950769],
       [ 0.49820852, -0.45684044],
       [ 0.46798589, -0.43561621],
       [ 0.43401619, -0.40361578],
       [ 0.38870959, -0.36455883],
       [ 0.36228872, -0.3396696 ],
       [ 0.31696844, -0.30422296],
       [ 0.29809638, -0.28644494],
       [ 0.2603386 , -0.25449921],
       [ 0.23014332, -0.22605437],
       [ 0.16595099, -0.17282971],
       [ 0.09420984, -0.11249385],
       [ 0.01115913, -0.03788086],
       [-0.04924512,  0.0153985 ],
       [-0.12097259,  0.07934467],
       [-0.18893934,  0.13612494],
       [-0.26821563,  0.20718232],
       [-0.32861988,  0.26046168],
       [-0.40413544,  0.32435315],
       [-0.47963733,  0.39185493],
       [-0.54381598,  0.4486899 ],
       [-0.61555714,  0.50902576],
       [-0.6835102 ,  0.56941633],
       [-0.75525135,  0.6297522 ],
       [-0.83075324,  0.69725398],
       [-0.8949319 ,  0.75408894],
       [-0.94399923,  0.8003118 ],
       [-0.98553143,  0.83581314]])




data2=np.array([[ 1.14077457, -0.81940266],
       [ 1.10676385, -0.79823314],
       [ 1.05013402, -0.74850938],
       [ 0.99721022, -0.72039276],
       [ 0.95943876, -0.69205733],
       [ 0.88016246, -0.62099995],
       [ 0.81597013, -0.56777529],
       [ 0.75557956, -0.51088562],
       [ 0.64986872, -0.41854931],
       [ 0.58191565, -0.35815874],
       [ 0.50640009, -0.29426727],
       [ 0.44600952, -0.23737761],
       [ 0.37805645, -0.17698704],
       [ 0.28366884, -0.09531754],
       [ 0.23079974, -0.0527597 ],
       [ 0.16284667,  0.00763087],
       [ 0.09111919,  0.07157705],
       [ 0.01560363,  0.13546852],
       [-0.06367267,  0.2065259 ],
       [-0.1203025 ,  0.25624966],
       [-0.19581806,  0.32014113],
       [-0.26754554,  0.3840873 ],
       [-0.33927302,  0.44803348],
       [-0.41101417,  0.50836935],
       [-0.47519282,  0.56520431],
       [-0.54315956,  0.62198457],
       [-0.62998468,  0.70015316],
       [-0.70927466,  0.76760024],
       [-0.76966523,  0.82448991],
       [-0.83387123,  0.87410426],
       [-0.9093868 ,  0.93799573],
       [-0.96976369,  0.99849571],
       [-0.99993162,  1.03416115]])
    












fig = plt.figure(figsize=(6,5))
fig.tight_layout()
plt.subplots_adjust(wspace=0.35)
ax = fig.add_subplot(111)
ax.tick_params(which='major',direction='in',width=2,length=10,top=True,right=True)
ax.tick_params(which='minor',direction='in',width=1,length=7,top=True,right=True)
    
plt.xticks(fontsize=20)
plt.yticks(fontsize=20)






plt.plot(Extractx(data1),Extracty(data1), 'k-', linewidth=3.5)
plt.plot(Extractx(data2),Extracty(data2), 'k-', linewidth=3.5)


plt.ylabel(r'$y$',fontsize=22)
plt.xlabel(r'$x$',fontsize=22)



ax.set_xlim([-1,1])
ax.set_ylim([-1,1])

ax.xaxis.set_minor_locator(tck.AutoMinorLocator())
ax.yaxis.set_minor_locator(tck.AutoMinorLocator())

ax.set_xticks([-1.0,-0.50,0.0,0.50, 1.0])
ax.set_xticklabels([-1.0,-0.50,0.0,0.50, 1.0])
ax.set_yticks([-1.0,-0.50,0.0,0.50, 1.0])
ax.set_yticklabels([-1.0,-0.50,0.0,0.50, 1.0])


plt.show()

But I want to put patterns between two lines. So, please help me to make the code in Matplotlib.

CodePudding user response：

The start and end points of each polygon shape are specified, hatching is set, and a fill color is specified.

from matplotlib import patches
points = [[Extractx(data1)[0], Extracty(data1)[0]],
          [Extractx(data1)[-1], Extracty(data1)[-1]],
          [Extractx(data2)[-1], Extracty(data2)[-1]],
          [Extractx(data2)[0], Extracty(data2)[0]]
         ]
patch = patches.Polygon(xy=points, hatch='\\/...', fc='c', alpha=0.5, closed=True)
ax.add_patch(patch)

plt.show()