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.
matplotlib.pyplot.polar() Function:
The polar() function in pyplot module of matplotlib library is used to make a polar plot.
Syntax: matplotlib.pyplot.polar(*args, **kwargs)
Parameters: This method does not accept any parameters.
Returns: This method does not returns any value.
Below examples illustrate the matplotlib.pyplot.polar() function in matplotlib.pyplot:
Example #1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import matplotlib.transforms as mtransforms import numpy as np from matplotlib.transforms import offset_copy xs = np.arange( - 2 , 2 ) ys = np.cos(xs * * 2 ) plt.polar(xs, ys) plt.title( 'matplotlib.pyplot.polar() function Example' , fontweight = "bold" ) plt.show() |
Output:
Example #2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import matplotlib.transforms as mtransforms import numpy as np from matplotlib.transforms import offset_copy xs = np.arange( 8 ) ys = np.cos(xs * * 2 ) fig = plt.figure(figsize = ( 5 , 10 )) ax = plt.subplot( 1 , 1 , 1 ) trans_offset = mtransforms.offset_copy(ax.transData, fig = fig, y = 6 , units = 'dots' ) for x, y in zip (xs, ys): plt.polar(x, y, 'go' ) plt.text(x, y, '% d, % d' % ( int (x), int (y)), transform = trans_offset, horizontalalignment = 'center' , verticalalignment = 'bottom' ) plt.title( 'matplotlib.pyplot.polar() function Example' , fontweight = "bold" ) plt.show() |
Output: