Compatibility with matplotlib, python and pandas on RHEL6
Question: I have a manual install of numpy, matplotlib and pandas, basic tests seem to
work fine.  
Versions here:

    
    
    Numpy 1.8.0
    Matplotlib 1.3.1
    Python 2.6.6
    Pandas 0.12.0
    

When I run this code on this platform (RHEL 6.4) i get the following stack
trace.

    
    
    'plot'.format(numeric_data.__class__.__name__))
    TypeError: Empty 'DataFrame': no numeric data to plot
    

The same code runs fine on Fedora 19 without having to deal with any dtype
issues and on that platform I have matplotlib 1.2.1, numpy 1.7.1 and python
2.7.4

So will this not work on the RHEL6.4 Python version

## Code snippit

    
    
    #!/usr/bin/python
    ### Get the libraries
    import pandas as pd
    import numpy as np
    import matplotlib.pyplot as plt
    from pandas import *
    
    disk_data = read_csv('collectl.sD.fullday.clean', sep=' ', index_col=1, parse_dates=True)
    
    sda_io = disk_data[['sda-Reads','sda-Writes']]
    print sda_io[:50] 
    sda_io[:1000].plot(grid='on')
    plt.show()
    

## Trace

    
    
    Traceback (most recent call last):
      File "./parse-collectl.py", line 19, in <module>
        sda_io[:1000].plot(grid='on')
      File "/usr/lib64/python2.6/site-packages/pandas/tools/plotting.py", line 1636, in plot_frame
        plot_obj.generate()
      File "/usr/lib64/python2.6/site-packages/pandas/tools/plotting.py", line 854, in generate
        self._compute_plot_data()
      File "/usr/lib64/python2.6/site-packages/pandas/tools/plotting.py", line 949, in _compute_plot_data
        'plot'.format(numeric_data.__class__.__name__))
    TypeError: Empty 'DataFrame': no numeric data to plot
    


Answer: Thanks to alko, who asked for a smaller dataset, I found an issue with the
dataset that the newer Fedora19 stack was ignoring.

For other folks, be aware of silent dataset repair that seems to take place on
the newer stack on Fedora19

The stack I have on RHEL6.4 below works fine, so this is solved Numpy 1.8.0
Matplotlib 1.3.1 Python 2.6.6 Pandas 0.12.0

