Matplotlib.axes.Axes.get_lines() in Python
Last Updated :
27 Apr, 2020
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_lines() Function
The Axes.get_lines() function in axes module of matplotlib library is used to return a list of lines contained by the Axes
Syntax: Axes.get_lines(self)
Parameters: This method does not accept any parameters.
Returns: This method return a list of lines contained by the Axes.
Below examples illustrate the matplotlib.axes.Axes.get_lines() function in matplotlib.axes:
Example 1:
from matplotlib import colors
from matplotlib.ticker import PercentFormatter
import numpy as np
import matplotlib.pyplot as plt
N_points = 100000
x = np.random.randn(N_points)
y = . 4 * x + np.random.randn( 100000 ) + 5
fig, ax = plt.subplots()
ax.hist2d(x, y, bins = 100 ,
norm = colors.LogNorm(),
cmap = "Greens" )
w = list (ax.get_lines())
if len (w) = = 0 :
ax.text( - 2 , 8.5 ,
"No line contained by the Axes \n" )
else :
ax.text( - 3 , 8.5 ,
"List of the lines contained by the Axes \n" )
x = 8.5
for i in w:
ax.text( - 3 , x - 0.5 , str (i))
x - = 0.5
fig.suptitle('matplotlib.axes.Axes.get_lines() \
function Example', fontweight = "bold" )
plt.show()
|
Output:
Example 2:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
fig, ax = plt.subplots()
x, y = 10 * np.random.rand( 2 , 1000 )
ax.plot(x, y, 'go' , alpha = 0.2 )
circ = mpatches.Circle(( 0.5 , 0.5 ),
0.25 ,
transform = ax.transAxes,
facecolor = 'blue' ,
alpha = 0.75 )
ax.add_patch(circ)
w = list (ax.get_lines())
if len (w) = = 0 :
ax.text( 1 , 8.5 ,
"No line contained by the Axes \n" )
else :
ax.text( 1 , 8.5 ,
"List of the lines contained by the Axes \n" )
x = 8.5
for i in w:
ax.text( 1 , x - 0.5 , str (i))
x - = 0.5
fig.suptitle('matplotlib.axes.Axes.get_lines() \
function Example', fontweight = "bold" )
plt.show()
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Output:
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