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.loglog() Function
The Axes.errorbar() function in axes module of matplotlib library is used to make a plot with log scaling on both the x and y axis.
Syntax:
Axes.loglog(self, *args, **kwargs)Parameters: This method accept the following parameters that are described below:
- basex, basey: These parameter are Base of the x/y logarithm and are optional with default value 10.
- subsx, subsy: These parameter are the sequence of location of the minor x/y ticks and are optional.
- nonposx, nonposy: These parameter are non-positive values in x or y that can be masked as invalid, or clipped to a very small positive number.
Returns: This returns the following:
- lines:This returns the list of Line2D objects representing the plotted data..
Below examples illustrate the matplotlib.axes.Axes.loglog() function in matplotlib.axes:
Example-1:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt t = np.arange(0.01, 20.0, 0.01) # Create figure fig, ax = plt.subplots() # log x and y axis ax.loglog(t, 20 * np.exp(-t / 10.0), basex = 2) ax.set_title('matplotlib.axes.Axes.loglog Example2') plt.show() |
Output:
Example-2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt fig, ax = plt.subplots(constrained_layout = True) x = np.arange(0.02, 1, 0.02) np.random.seed(19680801) y = np.random.randn(len(x)) ** 2ax.loglog(x, y) ax.set_xlabel('f [Hz]') ax.set_ylabel('PSD') ax.set_title('Random spectrum') def forward(x): return 1 / x def inverse(x): return 1 / x ax.set_title('matplotlib.axes.Axes.loglog Example2') plt.show() |
Output:
