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]