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copied!<p>Pylab uses numpy, you can look up the provided data formats <a href="http://docs.scipy.org/doc/numpy/user/basics.types.html" rel="nofollow">here</a>. You use very high numbers in the first column and have no need for float double precision but for hight integer values. Look at the example data you've pasted:</p> <pre><code>>>> x = np.loadtxt('./temp.dat', unpack=True, dtype=('float'), delimiter=',')[0] >>> x array([ 1.00000000e+14, 1.00000000e+14, 1.00000000e+14, 1.00000000e+14, 1.00000001e+14, 1.00000001e+14]) >>> x = np.loadtxt('./temp.dat', unpack=True, dtype=('uint64'), delimiter=',')[0] >>> x array([100000000012640, 100000000105442, 100000000206866, 100000000304930, 100000000583236, 100000000683528], dtype=uint64) >>> y = np.loadtxt('./temp.dat', unpack=True, dtype=('float'), delimiter=',')[1] >>> scatter(x,y) </code></pre> <p>Note that the what you're doing in your line <code>scatter(data[0],data[1])</code> is done just after the <code>loadtxt()</code> statement for the two columns. The first function show your data after reading in as float. Using the data read in as `uint64' will help you with your scatterplot.</p> <p>Good point to start from : <a href="http://matplotlib.org/gallery.html" rel="nofollow">matplotlib gallery</a></p> <p>Edit to answer your comment, more control over reading of the input data:</p> <pre><code># create python lists to store the data x_vals = [] y_vals = [] #open file and read in a list containing all lines as string f = open("./temp.dat","r") lines = f.readlines() #Go through the lines #strip() takes away "\n" characters and such #split(",") creates a list of the string line splitted into (here: 2) substrings for line in lines: x,y = line.strip().split(",") #append values to their lists and apply the right format x_vals.append(np.uint64(x)) y_vals.append(np.float64(y)) scatter(x_vals,y_vals) #or just plot the data as points using: plot(x_vals,y_vals,"o") </code></pre> <p>Your data has a very huge range between min and max values, you will get better results when you divide the set into the small and the large numbers</p>

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