matplotlib hist while ignoring a particular no data value
You can use a boolean array to select the required indices:
selected_values = (e_data > (no_data + eps)) & (e_data < (no_data - eps))pyplot.hist(e_data[selected_values])(e_data > (no_data + eps)) will create an array of np.bool with the same shape as e_data, set to True at a given index if and only if the value at that index is greater than (no_data + eps). & is the element-wise and operator to satisfy both conditions.
Alternatively, if no_data is just a convention, I would set those values to numpy.nan instead, and use e_data[numpy.isfinite(e_data)].