Matplotlib.pyplot.rc_context() in Python
Last Updated :
19 Apr, 2020
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.
matplotlib.pyplot.rc_context() Function
The rc_context() function in pyplot module of matplotlib library is used to return a context manager for managing rc settings.
Syntax: matplotlib.pyplot.rc_context(rc=None, fname=None)
Parameters:
- rc: This parameter is a dictionary can also be passed to the context manager.
- fname: This parameter contains the name of file which is to be called.
Returns: This method return a context manager for managing rc settings.
Below examples illustrate the matplotlib.pyplot.rcdefaults() function in matplotlib.pyplot:
Example 1:
import matplotlib.pyplot as plt
import numpy as np
np.random.seed( 19680801 )
dots = np.arange( 20 )
x, y = np.meshgrid(dots, dots)
data = [x.ravel(), y.ravel()]
with plt.rc_context({ 'axes.xmargin' : . 2 ,
'axes.ymargin' : . 4 }):
plt.scatter( * data, c = data[ 1 ])
plt.grid( True )
plt.title('matplotlib.pyplot.rc_context()\
Example')
plt.show()
|
Output:
Example 2:
import matplotlib.pyplot as plt
import numpy as np
np.random.seed( 19680801 )
fig, ax = plt.subplots()
dots = np.arange( 100 )
x, y = np.meshgrid(dots, dots)
data = [x.ravel(), y.ravel()]
ax.scatter( * data, c = data[ 1 ])
with plt.rc_context({ 'axes.autolimit_mode' : 'round_numbers' ,
'axes.xmargin' : . 8 ,
'axes.ymargin' : . 8 }):
fig, ax = plt.subplots()
ax.scatter( * data, c = data[ 1 ])
plt.grid( True )
plt.title( 'matplotlib.pyplot.rc_context() Example' )
plt.show()
|
Output:
Share your thoughts in the comments
Please Login to comment...