Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.get_xgridlines() Function
The Axes.get_xgridlines() function in axes module of matplotlib library is used to return the x grid lines as a list of Line2D instances.
Syntax: Axes.get_xgridlines(self)
Parameters: This method does not accepts any parameters.
Return value: This method returns the x grid lines as a list of Line2D instances.
Below examples illustrate the matplotlib.axes.Axes.get_xgridlines() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
def func(x):
return (x - 4 ) * (x - 6 ) * (x - 5 ) + 100
a, b = 2 , 9 # integral limits
x = np.linspace( 0 , 10 )
y = func(x)
fig, ax = plt.subplots()
ax.plot(x, y, "k" , linewidth = 2 )
ax.set_ylim(bottom = 0 )
# Make the shaded region ix = np.linspace(a, b)
iy = func(ix)
verts = [(a, 0 ), * zip (ix, iy), (b, 0 )]
poly = Polygon(verts, facecolor = 'green' ,
edgecolor = '0.5' , alpha = 0.4 )
ax.add_patch(poly) ax.text( 0.5 * (a + b), 30 ,
r "$\int_a ^ b f(x)\mathrm{d}x$" ,
horizontalalignment = 'center' ,
fontsize = 20 )
fig.text( 0.9 , 0.05 , '$x$' )
fig.text( 0.1 , 0.9 , '$y$' )
ax.spines[ 'right' ].set_visible( False )
ax.spines[ 'top' ].set_visible( False )
ax.set_xticks((a, b - a, b))
ax.set_xticklabels(( '$a$' , '$valx$' , '$b$' ))
w = ax.get_xgridlines()
ax.text( 3 , 200 , "xgridlines values : " ,
fontweight = "bold" )
xx = 200
for i in w:
ax.text( 3 , xx - 15 , str (i), fontweight = "bold" )
xx - = 15
fig.suptitle('matplotlib.axes.Axes.get_xgridlines()\ function Example\n\n', fontweight = "bold" )
fig.canvas.draw() plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np
import matplotlib.pyplot as plt
# Fixing random state for reproducibility np.random.seed( 19680801 )
x = np.linspace( 0 , 2 * np.pi, 100 )
y = np.sin(x)
y2 = y + 0.2 * np.random.normal(size = x.shape)
fig, ax = plt.subplots()
ax.plot(x, y) ax.plot(x, y2) ax.set_xticks([ 0 , np.pi, 2 * np.pi])
ax.set_xticklabels([ '0' , r '$pi$' , r '2$pi$' ])
ax.spines[ 'left' ].set_bounds( - 1 , 1 )
ax.spines[ 'right' ].set_visible( False )
ax.spines[ 'top' ].set_visible( False )
w = ax.get_xgridlines()
ax.text( 2 , 0.5 , "xgridlines values : " ,
fontweight = "bold" )
xx = 0.5
for i in w:
ax.text( 2 , xx - 0.2 , str (i), fontweight = "bold" )
xx - = 0.2
fig.suptitle('matplotlib.axes.Axes.get_xgridlines() \ function Example\n\n', fontweight = "bold" )
fig.canvas.draw() plt.show() |
Output: