How To Plot Files With Numpy?

I have a .dat file that contains two columns of numbers so it looks something like this: 111 112 110.9 109 103 103 and so on. I want to plot the two columns against one ano

Solution 1:

Numpy doesn't support plotting by itself. You usually would use matplotlib for plotting numpy arrays.

If you just want to "look into the file", I think the easiest way would be to use plotfile.

import matplotlib.pyplotas plt 

plt.plotfile('data.dat', delimiter=' ', cols=(0, 1), 
             names=('col1', 'col2'), marker='o')
plt.show()

You can use this function almost like gnuplot from within ipython:

$ ipython --pylab
......
In [1]: plt.plotfile('data.dat', delimiter=' ', cols=(0, 1), 
...                 names=('col1', 'col2'), marker='o')

or put it in a shell script and pass the arguments to it to use it directly from your shell

Solution 2:

import numpy as np
import matplotlib.pyplot as plot
#data = np.loadtxt("plot_me.dat")#x,y=np.loadtxt("plot_me.dat",unpack=True) #thanks warren!#x,y =  zip(*data)#plot.plot(x, y, linewidth=2.0)
plot.plot(*np.loadtxt("plot_me.dat",unpack=True), linewidth=2.0)
plot.show()

[Edit]Thanks for the tip i think its as compact as possible now :P

If you want it to be log10 just call log10 on the nparray)

plot.plot(*np.log10(np.loadtxt("plot_me.dat",unpack=True)), linewidth=2.0)