AttributeError: 'DataFrame' object has no attribute

Question

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 panda         


        

Answer 1

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())

Answer 2

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

Answer 3

value_counts() is now a DataFrame method since pandas 1.1.0

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.value_counts.html

Answer 4

value_counts work only for series. It won't work for entire DataFrame. Try selecting only one column and using this attribute. For example:

df['accepted'].value_counts()

It also won't work if you have duplicate columns. This is because when you select a particular column, it will also represent the duplicate column and will return dataframe instead of series. At that time remove duplicate column by using

df = df.loc[:,~df.columns.duplicated()]
df['accepted'].value_counts()