Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
matplotlib.axis.Axis.get_contains() Function
The Axis.get_contains() function in axis module of matplotlib library is used to get the custom contains function of the artist.
Syntax: Axis.get_contains(self)
Parameters: This method does not accepts any parameter.
Return value: This method return the custom contains function of the artist.
Below examples illustrate the matplotlib.axis.Axis.get_contains() function in matplotlib.axis:
Example 1:
# Implementation of matplotlib function from matplotlib.axis import Axis
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
from numpy.random import rand
fig, ax2 = plt.subplots()
ax2.bar( range ( 10 ), rand( 10 ), picker = True )
for label in ax2.get_xticklabels():
label.set_picker( True )
def onpick1(event):
if isinstance (event.artist, Line2D):
thisline = event.artist
xdata = thisline.get_xdata()
ydata = thisline.get_ydata()
ind = event.ind
print ( 'onpick1 line:' ,
np.column_stack([xdata[ind],
ydata[ind]]))
elif isinstance (event.artist, Rectangle):
patch = event.artist
print ( 'onpick1 patch:' , patch.get_path())
elif isinstance (event.artist, Text):
text = event.artist
print ( 'onpick1 text:' , text.get_text())
Axis.set_contains(ax2, picker = onpick1)
ax2.text( 0.5 , 0.8 ,
"Value Return : "
+ str (Axis.get_contains(ax2)),
fontweight = "bold" , fontsize = 10 )
fig.suptitle( """matplotlib.axis.Axis.get_contains()
function Example\n""" , fontweight = "bold")
plt.show() |
Output:
Example 2:
# Implementation of matplotlib function from matplotlib.axis import Axis
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
from numpy.random import rand
fig, ax = plt.subplots()
ax.plot(rand( 100 ), rand( 100 ), 'o' )
def line_picker(line, mouseevent):
if mouseevent.xdata is None :
return False , dict ()
xdata = line.get_xdata()
ydata = line.get_ydata()
maxd = 0.05
d = np.sqrt(
(xdata - mouseevent.xdata) * * 2 + (ydata - mouseevent.ydata) * * 2 )
ind, = np.nonzero(d < = maxd)
if len (ind):
pickx = xdata[ind]
picky = ydata[ind]
props = dict (ind = ind, pickx = pickx,
picky = picky)
return True , props
else :
return False , dict ()
Axis.set_contains(ax, picker = line_picker)
ax.text( 0.1 , 0.8 ,
"Value Return : "
+ str (Axis.get_contains(ax)),
fontweight = "bold" , fontsize = 10 )
fig.suptitle( """matplotlib.axis.Axis.get_contains()
function Example\n""" , fontweight = "bold")
plt.show() |
Output: