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:
# implementation of the matplotlib function 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:
# implementation of the matplotlib function 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:
