Pandas apply lambda to the entire dataframe [duplicate]

Question

Can anybody explain me why this code should not work?

wordsCount = {}

def addWord(x):
    print(x)

df.apply(addWord(x))

It return the error: TypeError: ("'NoneType' object is not callable", 'occurred at index 0') The dataframe df contains some None value in some cell. My intention is to apply a function to all non-None value.

.apply() expects a function, but you are passing it the return value by calling addWord(x), which is None, since no return value is specified in the addWord function. Just pass addWord without the parenthesis. — Craig
– Craig, Commented Oct 16, 2017 at 1:21
Ok thanks. So now I discover than with apply I can only iterate over columns. What is I want to iterate over each element of the dataframe? — user1315621
– user1315621, Commented Oct 16, 2017 at 1:33

piRSquared · Accepted Answer · 2017-10-16 01:49:11Z

5

Use pandas.DataFrame.applymap

df.applymap(addWord)

answered Oct 16, 2017 at 1:49

piRSquared

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