Add implementation of standard deviation on data #1
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inflammation/models.py
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| def s_dev(data): | ||
| """Computes and returns standard deviation for data.""" | ||
| mmm = np.mean(data, axis=0) |
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mmm is not a descriptive variable name. Perhaps consider renaming it to mean_data
| @@ -54,3 +54,13 @@ def daily_min(data): | |||
| """Calculate the daily min of a 2d inflammation data array.""" | |||
| return np.min(data, axis=0) | |||
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| def s_dev(data): | |||
| """Computes and returns standard deviation for data.""" | |||
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This function description can be made longer with more detail. For instance, in what format is the data outputted? Unless we look at the code itself, there is no way of knowing it outputs a dictionary object -- a behaviour different from the other functions in the code -- so I would recommend saying this in the docstring!
| devs.append((entry - mmm) * (entry - mmm)) | ||
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| s_dev2 = sum(devs) / len(data) | ||
| return {'standard deviation': s_dev2} |
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To allow this function to be more general (i.e., so it can be easily used elsewhere in the code), consider making it return s_dev simply as a list, rather than a dictionary object. Then you can turn it into a dictionary in the inflammation_analysis.py file
| for entry in data: | ||
| devs.append((entry - mmm) * (entry - mmm)) | ||
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| s_dev2 = sum(devs) / len(data) |
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