Oct 19, 2015 · Is there a direct way to calculate the mean of a dataframe column in pandas but not taking into account data that has zero as a value? Like a parameter inside the .mean() …

Jul 6, 2016 · The function pandas.DataFrame.mean always returns a pandas.Series. I would like it to return a dataframe with the same column names as the original dataframe. How does one …

May 29, 2016 · Very simply put, For the same training data frame df, when I use X = df.iloc[:, :-1].values, it will select till the second last column of the data frame instead of the last column …

Feb 3, 2022 · df = df[~df['InvoiceNo'].str.contains('C')] The above code block denotes that remove all data tuples from pandas dataframe, which has "C" letters in the strings values in …

Mar 3, 2014 · These answers do help explain this, but it still isn't perfectly intuitive for a non-programmer (i.e. someone like me who is learning Python for the first time in context of data …

specifying "skip NA" when calculating mean of the column in a data frame created by Pandas Asked 11 years, 4 months ago Modified 7 years, 5 months ago Viewed 109k times

48 Try df.mean(axis=0) , axis=0 argument calculates the column wise mean of the dataframe so the result will be axis=1 is row wise mean so you are getting multiple values.

Nov 17, 2015 · df.mean(axis=0) However, this does away with the Region column as well. how can I compute mean and also retain Region column

I also find it a little cleaner to avoid assignment: also, for example, python's list.append() is also in-place, while pandas df.append isn't (and in does not even support inplace), which irritates me …

Why do we use loc for pandas dataframes? it seems the following code with or without using loc both compiles and runs at a similar speed: %timeit df_user1 = df.loc[df.user_id=='5561'] 100 …