secondary_xaxis(self, location, *, functions=None, **kwargs)
For example if we want to have a second scale for the data plotted on the xaxis.
Other miscellaneous axes parameters.
The position to put the secondary axis. Strings can be 'top' or 'bottom' for orientation='x' and 'right' or 'left' for orientation='y'. A float indicates the relative position on the parent axes to put the new axes, 0.0 being the bottom (or left) and 1.0 being the top (or right).
If a 2-tuple of functions, the user specifies the transform function and its inverse. i.e. functions=(lambda x: 2 / x, lambda x: 2 / x)
would be an reciprocal transform with a factor of 2.
The user can also directly supply a subclass of .transforms.Transform
so long as it has an inverse.
See /gallery/subplots_axes_and_figures/secondary_axis
for examples of making these conversions.
Add a second x-axis to this Axes.
The main axis shows frequency, and the secondary axis shows period.
.. plot::
fig, ax = plt.subplots() ax.loglog(range(1, 360, 5), range(1, 360, 5)) ax.set_xlabel('frequency [Hz]')
def invert(x):
# 1/x with special treatment of x == 0 x = np.array(x).astype(float) near_zero = np.isclose(x, 0) x[near_zero] = np.inf x[~near_zero] = 1 / x[~near_zero] return x
See :# the inverse of 1/x is itself secax = ax.secondary_xaxis('top', functions=(invert, invert)) secax.set_xlabel('Period [s]') plt.show()
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.axes._secondary_axes.SecondaryAxis.__init__
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