Pandas method to apply a function on the entire DataFrame

Question

I have created a function where I need to pass data frame I get shape and return me df.head()

    def shape_of_df(df):
        tup = df.shape
        print('Shape of df  is Rows :{0[0]},column:{0[1]}'.format(tup))
        return df.head()

Now when I call function with items.apply(shape_of_df) I get error however if I call function and pass df as parameter it works fine. Please let me know I am missing something very basic when I use df.apply() couldn't figure out in docs

   shape_of_df(items) # this works fine prints shape and df.head()

cs95 · Accepted Answer · 2018-06-24 07:37:21Z

3

The first line of the docs explains that DataFrame.apply will "Apply a function along an axis of the DataFrame" (i.e., along the rows or along the columns).

You want to apply a function on the entire dataFrame instead, so if you're trying to chain functions, you should look into DataFrame.pipe. The usage is similar:

items.pipe(shape_of_df)

As long as you satisfy the condition that shape_of_df accepts a DataFrame as input and correspondingly returns one as output.

answered Jun 24, 2018 at 7:37

cs95

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1 Comment

nithin Over a year ago

wow thank you very much I was so dumb and clueless didn't even realize

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