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  1. PO
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    <p>Thanks for the responses.</p> <p>I got it working with floats but maybe you all can tell me why. I just created an account here and can't edit my guest question...</p> <p>I'm getting my data from a sqlite database. I can round the values in the sql or cast to floats and it works. I'm guessing that the data was a numerical object even though it was numerical. Is this correct?</p> <p>Here's an excerpt of the code that doesn't work. I got it to work by casting the values as floats.</p> <pre> <code> import sqlite3 import re import numpy as np from numpy import * from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt conn = sqlite3.connect('./RES/resDB.dbl') fig = plt.figure() ax = Axes3D(fig) sam = array([]) x = array([]) y = array([]) z = array([]) for sv in conn.execute('select sam,easting,northing,altitude from trx_all'): sam = np.append(sam, [sv[0]]) #this works: sam = np.append(sam, [float(sv[0])]) x = np.append(x, [sv[1]]) #this works: x = np.append(x, [float(sv[1])]) y = np.append(y, [sv[2]]) #this works: y = np.append(y, [float(sv[2])]) z = np.append(z, [sv[3]]) #this works: z = np.append(z, [float(sv[3])]) if sam.__len__() > 0: print(repr(x)) print(repr(y)) print(repr(z)) ax.scatter(x, y, z, marker='o') ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_zlabel('Z') ax.set_title("3D plot") plt.show() </code> </pre> <p>unutbu requested the output of print(repr(x)):</p> <pre><code> x: array([u'227004.744896075', u'227029.694213685', u'227051.351657645', ..., u'226416.484484696', u'226436.436477995', u'226401.253669657'], dtype='U16') y: array([u'3648736.75423911', u'3648737.3357031', u'3648746.34280013', ..., u'3645870.67565062', u'3645893.61216942', u'3645866.95833722'], dtype='U16') z: array([u'1600.2589433603', u'1535.77224937826', u'1429.01016684435', ..., u'341.064685015939', u'343.452275622636', u'312.491347198375'], dtype='U16') </code></pre> <p>and finally here's the error that it outputs on the line ax.scatter(x,y,z,marker='o') :</p> <pre><code> Traceback (most recent call last): File "C:\stripped_3dplot.py", line 27, in ax.scatter(x, y, z, marker='o') File "C:\Python27\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py", line 1019, in scatter patches = Axes.scatter(self, xs, ys, *args, **kwargs) File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 5813, in scatter minx = np.amin(temp_x) File "C:\Python27\lib\site-packages\numpy\core\fromnumeric.py", line 1846, in amin return amin(axis, out) TypeError: cannot perform reduce with flexible type </code></pre> <p>Like i said i think it was just the wrong type, but if you all can tell me what type causes the error i could learn something.</p> <p>Thanks.</p>
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    1. POpython matplotlib will only plot integers
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    1. POpython matplotlib will only plot integers
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    1. COYou're not using arrays for floats, you're using arrays of strings, which is why you're getting an error. You have to convert the strings to a floating point value. Numpy has string arrays, so if you try to convert a bunch of strings directly to an array without setting the dtype of the array, it will assume you want a string array. (Also, np.append is slow, as numpy arrays aren't built to have fast appends. It's better to accumulate things in a list and then convert the list to an array.)
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      1. USJoe Kington
 

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