Matplotlib.axis.Axis.format_cursor_data() function in Python
Last Updated :
08 Jun, 2020
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.format_cursor_data() Function
The Axis.format_cursor_data() function in axis module of matplotlib library is used to get the string representation of data.
Syntax: Axis.format_cursor_data(self, data)
Parameters: This method accepts the following parameters.
- data: This parameter is the data which is used to be used.
Return value: This method return the string representation of data.
Below examples illustrate the matplotlib.axis.Axis.format_cursor_data() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
np.random.seed( 10 * * 7 )
geeksx = np.random.randn( 10 )
fig, ax = plt.subplots()
ax.plot(geeksx)
ax.text( 1.5 , 0.85 ,
"Value return by format_cursor_data():" ,
fontweight = "bold" )
ax.text( 0 , 0.7 ,
Axis.format_cursor_data(ax, data = geeksx))
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
geeksx = np.array([ 24.40 , 110.25 , 20.05 ,
22.00 , 61.90 , 7.80 ,
15.00 ])
fig, ax = plt.subplots()
ax.plot(geeksx, 'go-' )
ax.text( 1 , 95 ,
"Value return by format_cursor_data():" ,
fontweight = "bold" )
ax.text( 1.3 , 85 ,
Axis.format_cursor_data(ax,
data = geeksx))
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
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