matplotlib.pyplot.yscale(*args, **kwargs)
Set the scaling of the y-axis.
call signature:
yscale(scale, **kwargs)
The available scales are: ‘linear’ | ‘log’ | ‘logit’ | ‘symlog’
Different keywords may be accepted, depending on the scale:
‘linear’
‘log’
Where to place the subticks between each major tick. Should be a sequence of integers. For example, in a log10 scale: [2, 3, 4, 5, 6, 7, 8, 9]
will place 8 logarithmically spaced minor ticks between each major tick.
‘logit’
‘symlog’
Where to place the subticks between each major tick. Should be a sequence of integers. For example, in a log10 scale: [2, 3, 4, 5, 6, 7, 8, 9]
will place 8 logarithmically spaced minor ticks between each major tick.
matplotlib.pyplot.yscale
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http://matplotlib.org/2.1.0/api/_as_gen/matplotlib.pyplot.yscale.html