 # Customizing yticks while log-scaled

Hello,

A new plot and two questions: http://img16.imageshack.us/img16/1759/logbarchart.png

1-) How to get nicely formatted yticks while will represent my data range (in Ax10^5 fashion 10^x works perfect as a defaul however couldn’t figure out how to do this with number times 10^x)? An interesting point is when log=True yticks has to be called with two arguments as in the code otherwise no ticks shown at all.

2-) This is about my ylabel, although I have mm^3 showing nicely for some reason the closing bracket tends to stay separately. How to fix this in the code?

Thanks.

### BEGIN CODE

http:/import numpy as np
import matplotlib.pyplot as plt

diameters = np.array([ 7, 10, 11, 12, 16, 21, 28, 35, 38, 51])
numbers = np.array([44, 24, 7, 8, 8, 12, 16, 3, 2, 1])

http:width = 1.0
volumes = 4./3np.pi(diameters/2)3
plt.bar(diameters, volumesnumbers, width=width, align=‘edge’, log=True)
plt.axis(xmin=diameters.min()-2, xmax=diameters.max()+2, ymax =
(volumes
numbers).max()+20000)
plt.xlabel(“Diameter (mm)”, fontsize=16)
plt.ylabel(r"Number of washers x Volumes (# \$mm^3\$)", fontsize=16)
plt.xticks(diameters+width/2, diameters)
#plt.yticks(volumesnumbers, volumesnumbers)
#plt.yticks(np.arange(100, 2*10
5+100, 410**4), np.arange(100, 2105+100, 4*104))

plt.figure()

width = 0.4
plt.bar(range(len(diameters)), volumesnumbers, width=width, align=‘edge’)
plt.xlabel(“Diameter (mm)”, fontsize=16)
plt.ylabel(r"Number of washers x Volumes (# \$mm^3\$)", fontsize=16)
plt.xticks(np.arange(len(diameters))+width/2, diameters)
plt.axis(xmin=-width/2, xmax=len(diameters)-width)
#plt.yticks(volumes
numbers)
plt.title(“Distribution Lab - Question 2”, fontsize=18)

plt.show()

···

Gökhan