pandas get column average mean

Question

I can t get the average or mean of a column in pandas  A have a dataframe  Neither of things I tried below gives me the average of the column weight   gt  gt  gt  allDF           ID           birthyear  weight 0        619040       1962       0 1231231 1        600161       1963       0 981742 2      25602033       1963       1 3123124      3        624870       1987       0 94212   The following returns several values  not one   allDF   weight    mean axis 1    So does this   allDF groupby  weight   mean

User · Answer

You can use either of the two statements below   numpy mean df  col name      or df  col name   mean

User · Answer

You can easily follow the following code import pandas as pd  import numpy as np           classxii     Name    Karan   Ishan   Aditya   Anant   Ronit                 Subject    Accounts   Economics   Accounts   Economics   Accounts                 Score   87 64 58 74 87                Grade    A1   B2   C1   B1   A2     df   pd DataFrame classxii index     a   b   c   d   e   columns   Name   Subject   Score   Grade    print df    use the below for mean if you already have a dataframe print  mean of score is    print df   Score    mean

User · Answer

Do try to give print  df describe    a shot  I hope it will be very helpful to get an overall description of your dataframe

User · Answer

Mean for each column in  df        A   B   C 0   5   3   8 1   5   3   9 2   8   4   9  df mean    A    6 000000 B    3 333333 C    8 666667 dtype  float64   and if you want average of all columns   df stack   mean   6 0

User · Answer

If you only want the mean of the weight column  select the column  which is a Series  and call  mean     In  479   df Out 479             ID  birthyear    weight 0    619040       1962  0 123123 1    600161       1963  0 981742 2  25602033       1963  1 312312 3    624870       1987  0 942120  In  480   df  weight   mean   Out 480   0 83982437500000007

User · Answer

Do note that it needs to be in the numeric data type in the first place   import pandas as pd  df  column     pd to numeric df  column    errors  coerce    Next find the mean on one column or for all numeric columns using describe    df  column   mean   df describe    Example of result from describe            column  count    62 000000  mean     84 678548  std     216 694615  min      13 100000  25       27 012500  50       41 220000  75       70 817500  max    1666 860000

User · Answer

Additionally if you want to get the round value after finding the mean    Create a DataFrame df1          Subject    semester1   semester2   semester3   semester4   semester1                   semester2   semester3        Score   62 73 47 76 55 61 74 67 31 55 77 31 85 47   df1   pd DataFrame df1 columns   Subject   Score     rounded mean   round df1  Score   mean      specified nothing as decimal place print rounded mean    62  rounded mean decimal 0   round df1  Score   mean    0    specified decimal place as 0 print rounded mean decimal 0    62 0  rounded mean decimal 1   round df1  Score   mean    1    specified decimal place as 1 print rounded mean decimal 1    62 2

User · Answer

You can simply go for          df describe   that will provide you with all the relevant details you need  but to find the min  max or average value of a particular column  say  weights  in your case   use       df  weights   mean    For average value     df  weights   max    For maximum value     df  weights   min    For minimum value

User · Answer

you can use      df describe      you will get basic statistics of the dataframe and to get mean of specific column you can use      df  columnname   mean

User · Answer

You can also access a column using the dot notation  also called attribute access  and then calculate its mean   df your column name mean

User · Answer

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

[python] pandas get column average/mean

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