data type and logarithm

[Terry Reedy]

On 6/16/2011 4:37 AM, simona bellavista wrote:
> Hi, I am quite new to python and I am trying to do some simple plots.
> I am using python Python 2.6.4 and numpy/1.5.1
> I have an ASCII  data file that I am reading with the following lines
> of code:
>
> import pylab
> import numpy as np
>
> filename='something.dat'
> file = open(filename)

combine into one statement
file = open("sjlsjls.dat")

> rho = np.array([], dtype = 'float64')
> entropy = np.array([], dtype = 'float64')
> for line in file:
>      columns = line.split()

        r,e = line.split()

>      rho = np.append(rho,columns[0])
>      entropy = np.append(entropy,columns[1])

        rho = mp.append(rho, float(r)) # same with entropy)

does numpy really not let you write Python stype

        rho.append(float(r))
?

There are also numpy,scipy lists for numpy,scipy questions.

-- 
Terry Jan Reedy