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The method to increase a set of characteristics using a single column in pandas is to use the apply() function, which applies a specified function to each element of a pandas series. For example, if you want to increase all values in a column by 1, you can use the following code:
df['column_name'].apply(lambda x: x + 1)
This code will increase each value in the specified column by 1 using a lambda function, which is an anonymous function that takes a single argument (in this case, the value of each element in the column) and returns the result of adding 1 to that value.