I am graphing data from a numpy array using matplotlib imshow. However, some points have no data in them. I initialized the array using np.zeroes, so these points are dragging down the whole map. I know that none of the data will ever have a value of 0.0. Is there some way for me to tell the imshow routine to ignore these points (ie leave them white so it is clear they are empty)?

Have you tried instantiating your array with NaNs instead of zeros to see if matplotlib's default will ignore the NaNs in a way that works for you? You could also try just using logical indexing to make the locations of 0 equal to NaN right before plotting:

```
my_data[my_data == 0.0] = numpy.nan
```

Alternatively, you can use the NaN idea and follow this link's advice and use NumPy masked arrays in order to plot the NaN entries as a color you prefer.

I think you could also use that link's idea to make a masked array at the zero locations too, without going to the NaN option if you don't like it.

Pad the array with Python None for points that should not display.

```
y_series_1 = [1,None,None,4,5]
y_series_2 = [1,2,5,6,7]
```

For this example, the y_series_1 line will disappear from the X axis at the second and third point. The result is line breaks (line begins, disappears, then continues at the fourth point), which I believe is the behavior you are after.

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