How does log axis plot in python works?

Asked Jun 25 '22 at 20:29

Active Jun 25 '22 at 21:18

Viewed 81 times

What formula does matplotlib.pyplot.yscale('log') use when plotting in log scale? For e.g. with

x=[1,2, 3]
y=[0.0088 ,   0.0283   , 0.121 ]
plt.yscale('log')
plt.plot(x,y,linewidth=3, marker ='p', markersize=7)

plots the graph with y-axis values in the positive range of 0.001 to 1. But 10*math.log10(y) gives negative values as y < 0. So how does the matplotlib.pyplot.yscale('log') applies log?

edited Jun 25 '22 at 20:36

asked Jun 25 '22 at 20:29

knowledge_seeker

```np.log10(y)``` is ```[-2.05551733, -1.54821356, -0.91721463]``` which is also the y value in the plot? – Nin17 Jun 25 '22 at 20:50
1

Note that log-scaled plots still label the axis with the actual values. Only the scaling is logarithmic, i.e. on the figure, the distance between 0.1 and 1 is equal to the distance from 1 to 10. – Dr. V Jun 25 '22 at 20:54
@Nin17 Yes but they are not the values on the plot? The ones on the plot are clearly not negative. This is where I got confused. – knowledge_seeker Jun 25 '22 at 20:55
they are the values on the plot, its just labelled with ```10**log10(y)``` – Nin17 Jun 25 '22 at 21:01
1

```10**log10(y)=y``` see @Dr.V comment – Nin17 Jun 25 '22 at 21:17
Thank you both for the clear clarifications. – knowledge_seeker Jun 25 '22 at 21:33

How does log axis plot in python works?

0 Answers0