Pandas: Count number of non-NaN entries
The count() method returns the number of non-NaN values in each column. Similarly, count(axis=1) returns the number of non-NaN values in each row.
Recent Posts
Pandas: Complex aggregation expressions
```python df = pd.DataFrame(np.random.randn(10,3),columns=list(‘ABC’))
Pandas: Calculate percentile ranking relative to another column
Say we have two columns of data representing the same quantity; one column is from training data, the other is from validation data. How can we efficiently g...
CompSci: GUIDs are not strings
GUIDs are not strings. They are numbers. We render them as strings for readability. We should not process them as strings. We should not pass them around ...
AWS CLI: List account aliases
If you want the URL for your sign-in page to contain your company name (or other friendly identifier) instead of your AWS account ID, you can create an al...