How to Apply Functions with Arguments to Pandas Series?

Applying Functions with Arguments to Pandas Series

Question:

How can I apply a function with arguments to a series in Python Pandas? The documentation mentions an apply method, but it does not accept additional parameters.

Answer:

Newer Pandas Versions:

• In recent versions of Pandas, the apply method now supports passing positional and keyword arguments.

<code class="python">my_series.apply(your_function, args=(2, 3, 4), extra_kw=1)</code>

Older Pandas Versions:

• functools.partial: Use functools.partial to create a function that has pre-defined additional arguments.

<code class="python">import functools
add_3 = functools.partial(operator.add, 3)
my_series.apply(add_3)</code>

• Lambda: Create a lambda function that includes all necessary arguments.

<code class="python">my_series.apply((lambda x: your_func(a, b, c, d, ..., x)))</code>

Recommendation:

Functools.partial is generally the preferred option as it allows for cleaner code and easier passing of keyword arguments.

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