Matplotlib.axes.Axes.format_coord() in Python
Last Updated :
19 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.format_coord() Function
The Axes.format_coord() function in axes module of matplotlib library is used to return a format string formatting the x, y coordinates.
Syntax: Axes.format_coord(self, x, y)
Return value: This method return a format string formatting the x, y coordinates.
Below examples illustrate the matplotlib.axes.Axes.format_coord()
function in matplotlib.axes:
Example-1:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
ax.plot([ 1 , 2 , 3 , 7 ], [ 1 , 5 , 6 , 9 ])
def format_coord(x = 7 , y = 9 ):
col = int (x + 0.5 )
row = int (y + 0.5 )
if col > = 0 and col < 5 and row > = 0 and row < 5 :
z = row + col
return 'x =% 1.4f, y =% 1.4f, z =% 1.4f' % (x, y, z)
else :
return 'x =% 1.4f, y =% 1.4f' % (x, y)
ax.format_coord = format_coord
fig.suptitle('matplotlib.axes.Axes.format_coord()\
function Example', fontweight = "bold" )
plt.show()
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Output:
Example-2:
import numpy as np
import matplotlib.pyplot as plt
np.random.seed( 19680801 )
X = np.random.rand( 15 , 30 )
fig, ax = plt.subplots()
ax.imshow(X)
val1, val2 = X.shape
def format_coord(x, y):
col = int (x + 2 )
row = int (y - 2 )
if col > = 0 and col < val2 and row > = 0 and row < val1:
z = X[row, col]
return 'x =% 2.0f, y =% 2.0f, z =% 2.0f' % (x, y, z)
else :
return 'x =% 2.0f, y =% 2.0f' % (x, y)
ax.format_coord = format_coord
fig.suptitle('matplotlib.axes.Axes.format_coord() \
function Example', fontweight = "bold" )
plt.show()
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Output:
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