AttributeError: 'DataFrame' object has no attribute

27

I keep getting different attribute errors when trying to run this file in ipython...beginner with pandas so maybe I'm missing something

Code:

from pandas import Series, DataFrame

import pandas as pd

import json

nan=float('NaN')
data = []
with open('file.json') as f:
for line in f:
    data.append(json.loads(line))

df = DataFrame(data, columns=['accepted', 'user', 'object', 'response'])
clean = df.replace('NULL', nan)
clean = clean.dropna()

print clean.value_counts() 

AttributeError: 'DataFrame' object has no attribute 'value_counts'

Any ideas?

This question is tagged with python pandas attributeerror

~ Asked on 2013-10-15 22:32:13

The Best Answer is


42

value_counts is a Series method rather than a DataFrame method (and you are trying to use it on a DataFrame, clean). You need to perform this on a specific column:

clean[column_name].value_counts()

It doesn't usually make sense to perform value_counts on a DataFrame, though I suppose you could apply it to every entry by flattening the underlying values array:

pd.value_counts(df.values.flatten())

~ Answered on 2013-10-16 00:29:39


13

To get all the counts for all the columns in a dataframe, it's just df.count()

~ Answered on 2015-04-29 00:02:24


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