Series.pipe(func, *args, **kwargs)
[source]
Apply func(self, *args, **kwargs)
New in version 0.16.2.
Parameters: |
func : function function to apply to the NDFrame. args : positional arguments passed into kwargs : a dictionary of keyword arguments passed into |
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Returns: |
object : the return type of |
Use .pipe
when chaining together functions that expect on Series or DataFrames. Instead of writing
>>> f(g(h(df), arg1=a), arg2=b, arg3=c)
You can write
>>> (df.pipe(h) ... .pipe(g, arg1=a) ... .pipe(f, arg2=b, arg3=c) ... )
If you have a function that takes the data as (say) the second argument, pass a tuple indicating which keyword expects the data. For example, suppose f
takes its data as arg2
:
>>> (df.pipe(h) ... .pipe(g, arg1=a) ... .pipe((f, 'arg2'), arg1=a, arg3=c) ... )
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.pipe.html