Pandas Cookbook

How it works...

Many pandas operations are flexible, and column creation is one of them. This recipe assigns both a scalar value, as seen in Step 1, and a Series, as seen in step 2, to create a new column.

Step 2 adds four different Series together with the plus operator. Step 3 uses method chaining to find and fill missing values. Step 4 uses the greater than or equal comparison operator to return a boolean Series, which is then evaluated with the all method in step 5 to check whether every single value is True or not.

The drop method accepts the name of the row or column to delete. It defaults to dropping rows by the index names. To drop columns you must set the axis parameter to either 1 or columns. The default value for axis is 0 or the ...