Matplotlib Is a library in Python and it is a numerical – mathematical extension for the NumPy library. Pyplot Is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.
matplotlib.pyplot.yscale() in Python
The matplotlib.pyplot.yscale() function in pyplot module of matplotlib library is used to set the y-axis scale.
Syntax: matplotlib.pyplot.yscale(value, **kwargs)
Parameters:
value = { “linear”, “log”, “symlog”, “logit”, … }
These are various axis scale to apply.
**kwargs = Different keyword arguments are accepted, depending on the scale (matplotlib.scale.LinearScale, LogScale, SymmetricalLogScale, LogitScale)
Example 1:
Python3
import numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport time%matplotlib inline # Example 1y = np.random.randn(50)y = y[(y > 0) & (y < 1)]y.sort()x = np.arange(len(y)) # plot with various axes scalesplt.figure() # linearplt.subplot(221)plt.plot(x, y)plt.yscale('linear')plt.title('linear')plt.grid(True) # logplt.subplot(222)plt.plot(x, y)plt.yscale('log')plt.title('log')plt.grid(True) plt.show() |
Output:
yscale plots for linear and log
Example 2:
Python3
import numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport time%matplotlib inline # Example 2# useful for `logit` scalefrom matplotlib.ticker import NullFormatter # Fixing random state for reproducibilitynp.random.seed(100) # make up some data in the# interval ]0, 1[y = np.random.normal(loc=0.5, scale=0.4, size=1000)y = y[(y > 0) & (y < 1)]y.sort()x = np.arange(len(y)) # plot with various axes scalesplt.figure() # symmetric logplt.subplot(221)plt.plot(x, y - y.mean())plt.yscale('symlog', linthreshy=0.01)plt.title('symlog')plt.grid(True) # logitplt.subplot(222)plt.plot(x, y)plt.yscale('logit')plt.title('logit')plt.grid(True) plt.gca().yaxis.set_minor_formatter(NullFormatter()) # Adjust the subplot layout, because# the logit one may take more space# than usual, due to y-tick labels like "1 - 10^{-3}"plt.subplots_adjust(top=0.80, bottom=0.03, left=0.15, right=0.92, hspace=0.34,wspace=0.45) plt.show() |
Output:
yscale plots for symlog and logit
