python - How to set the ticks on a logarithmic axis in matplotlib -

i'm trying draw nice ticks (scalar not exponential) on logarithmic y-axis in matplotlib. in general want include first value (100in example) work there. in cases different tickers below. have found no clue how manage this. there uncomplicated way force matplotlib start specific value , automatically select sensible tickers thereafter (in example 120, 110, 100, 90, 80, 70, 60, 50, 40, 30, 20 nice).

my code:

from matplotlib.ticker import  scalarformatter, maxnlocator x = range(11) y = [ 100.,   91.3700879 ,   91.01104689,   58.91189746,      46.99501432,   55.3816625 ,   37.49715841,   26.55818469,      36.34538328,   37.7811044 ,   47.45953131] fig = plt.figure() ax = fig.add_subplot(111) ax.set_yscale('log') ax.yaxis.set_major_locator(maxnlocator(nbins=11, steps=[1,2,3,4,5,6,7,8,9,10])) ax.yaxis.set_major_formatter(scalarformatter()) ax.plot(x,y) 

result:

you can use set_ylim():

ax.set_ylim(20, 120) 

this 1 way make limits depend on y-data instead of hard-wiring them:

ymax = round(max(y), -1) + 10 ymin = max(round(min(y), -1) - 10, 0) ax.set_ylim(ymin, ymax) 

you can force tick locations ax.set_yticks():

ymax = round(max(y), -1) + 20 ymin = max(round(min(y), -1) - 10, 0) ax.set_ylim(ymin, ymax) ax.set_yticks(range(int(ymin), int(ymax) + 1, 10)) ax.plot(x,y) 

for:

y = [ 100. , 114.088362 , 91.14833261, 109.33399855, 73.34902925,       76.43091996, 56.84863363, 65.34297117, 78.99411287, 70.93280065,       55.03979689]  

it produces plot: