FutureWarning: comparison to 'None' error
<p>I'm new to Python and have scoured the internet for help and nothing has solved my immediate issue, so would love any feedback. Does anyone know why I would be getting this warning?</p>

<p>I have downloaded and am trying to use an open-source module (CloudRasterizer.py) to edit point clouds (LiDAR/spatial data) from the EcosynthAerial toolbox with Windows. Within the module is a class 'CloudRasterizer', from which I will call a specific method. However, whenever I try to initiate the class I get the following warning, and can't get past this...  </p>

<blockquote>
  <p><strong>In the Python command line</strong>  </p>
</blockquote>

<pre><code>EastAreaTest = np.loadtxt("C:\....TestFile.txt", use cols=(0,1,2,3,4,5))  
EastAreaArray = np.array(EastAreaTest)  
Import CloudRasterizer  
from CloudRasterizer import CloudRasterizer  
RasterizedTest = CloudRasterizer(EastAreaArray)
</code></pre>

<blockquote>
  <p>CloudRasterizer.py:290: FutureWarning: comparison to 'None' will result in an elementwise object comparison in the future. If (xyzrgb_array==None): get_aoi time:0.0 subset_cloud_ array time: 0.0 get_aoi time: 0.015 cloud_to_grid time: 0.015</p>
</blockquote>

<p>Here is the beginning of the module code:  </p>

<pre><code>_all__ = ['CloudRasterizer']

    import time

    import numpy as np
    import pylab as pl
    import scipy.stats as stats


    class CloudRasterizer(object):
    """
         CloudRasterizer Class for processing Point Cloud and enabling 2D analysis

    :param np.array xyzrgb_array: XYZRGB numpy array
    :param int resolution: (Optional) grid size relative to units of
        point cloud (assumed to be meters)
    :pararm list aoi: (Optional) [xMin, xMax, yMin, yMax, zMin, zMax]

    :var int resolution: grid size relative to units of point cloud
    :var np.array cloud_array: points in given AOI
    :var int xMin:
    :var int yMin:
    :var int zMin:
    :var np.array grid: 2D grid of arrays filled with XYZRGB points

    """
    def __init__(self, xyzrgb_array, resolution=1):
        """

        """
        self.aoi = self.get_aoi(xyzrgb_array=xyzrgb_array)
        self.resolution = resolution
        self.cloud_array = self.subset_cloud_array(xyzrgb_array, self.aoi)
        self.grid = self.cloud_to_grid(self.cloud_array, resolution)
</code></pre>

<p>And if it helps, here is my current directory when I import CloudRasterizer (CloudRasterizer.py is in the post process folder):</p>

<p>C:\Users\MillerEF\Documents\Miniconda2\Lib\site-packages\ecosynth\postprocess</p>

<p>Thanks so much for any help!</p>