hi all,

i have a matrix of data and i would like to make a set of subplots,

each subplot with a histgram of one of the columns of the data. the

dataset is an Nx4 matrix containing only numbers between 0 and 1.

i plot it like this:

plt.subplot(2, 2, 1)

# histogram of first column

plt.hist(mydata[:, 0], 15)

plt.subplot(2, 2, 1)

# histogram of second column

plt.hist(mydata[:, 1], 15)

# etc...

since i want the subplots to be comparable, i'd like hist to use the

same bins for all subplots. how can i do this?

also, i would like to, instead of showing counts on the y-axis, show

the normalized probability of each bin. i looked into the "normed"

optional argument, but i don't think it achieves this. my attempt to

do this was:

plt.hist(mydata[:, 0], 15, normed=1)

but the y-axis is not set to be between 0 and 1.

any ideas on how to do this would be greatly appreciated. thanks.

plt.hist(mydata[:, 0]