-
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
, andkwargs
are passed intofunc
. Alternatively a(callable, data_keyword)
tuple wheredata_keyword
is a string indicating the keyword ofcallable
that expects the NDFrame.args : positional arguments passed into
func
.kwargs : a dictionary of keyword arguments passed into
func
.Returns: object : the return type of
func
.Notes
Use
.pipe
when chaining together functions that expect on Series or DataFrames. Instead of writing1>>> f(g(h(df), arg1
=
a), arg2
=
b, arg3
=
c)
You can write
1234>>> (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 asarg2
:1234>>> (df.pipe(h)
... .pipe(g, arg1
=
a)
... .pipe((f,
'arg2'
), arg1
=
a, arg3
=
c)
... )
Series.pipe()
2017-01-12 04:54:24
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