How to set matplotlib axis major ticks with a list of values?

Question

I have some data I want to plot on a log scale, with a specific set of major y-axis ticks

I know I can use something like

plt.scatter(x, y)
ax = plt.gca()
ax.yaxis.set_major_locator(ticker.MultipleLocator(100))  

To specify ticks, but I don't know how to pass an instance of matplotlib.ticker.Locator with arbitrary values eg if I want to set the ticks to [2,4,100] instead of fixed increments. How do I turn an array of tick values to an object that set_major_locator will accept?

Answer 1

Any reason you don't want to just use the call to yticks ?

x = [1,2,3,4,5]
y = [2,10,40,50,100]

tick_array = [2, 4, 100] # an array of tick values
plt.scatter(x, y, s=150)
plt.yticks(ticks=tick_array)
plt.show()