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.reset_ticks() Function
The Axis.reset_ticks() function in axis module of matplotlib library is used to re-initialize the major and minor Tick lists.
Syntax: Axis.reset_ticks(self)
Parameters: This method does not accepts any parameter.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Axis.reset_ticks() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import matplotlib.colors as mcolors import matplotlib.gridspec as gridspec import numpy as np plt.rcParams['savefig.facecolor'] = "0.8"plt.rcParams['figure.figsize'] = 6, 5 fig, ax = plt.subplots() ax.plot([1, 2]) ax.locator_params("x",nbins=3) ax.locator_params("y",nbins=5) ax.set_xlabel('x-label') ax.set_ylabel('y-label') ax.yaxis.reset_ticks() ax.grid() fig.suptitle("""matplotlib.axis.Axis.reset_ticks() function Example\n""", fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import numpy as np import matplotlib.pyplot as plt import matplotlib.transforms as mtransforms delta = 0.5 x = y = np.arange(-2.0, 4.0, delta) X, Y = np.meshgrid(x**2, y) Z1 = np.exp(-X**2 - Y**2) Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2) Z = (Z1 - Z2) transform = mtransforms.Affine2D().rotate_deg(30) fig, ax = plt.subplots() im = ax.imshow(Z, interpolation ='none', origin ='lower', extent =[-2, 4, -3, 2], clip_on = True) trans_data = transform + ax.transData Axis.set_transform(im, trans_data) x1, x2, y1, y2 = im.get_extent() ax.plot([x1, x2, x2, x1, x1], [y1, y1, y2, y2, y1], "ro-", transform = trans_data) ax.set_xlim(-5, 5) ax.set_ylim(-4, 4) ax.yaxis.reset_ticks() ax.grid() fig.suptitle("""matplotlib.axis.Axis.reset_ticks() function Example\n""", fontweight ="bold") plt.show() |
Output:
