python - Why am I not able to drop values within columns on pandas using python3? -


i have dataframe (df) various columns. in assignment have find difference between summer gold medals , winter gold medals, relative total medals, each country using stats olympics. must include countries have @ least 1 gold medal. trying use dropna() not include countries not @ least have 1 medal. current code:

def answer_three():     df['medal_count'] = df['gold'] - df['gold.1']     df['medal_count'].dropna()     df['medal_dif'] = df['medal_count'] / df['gold.2']     df['medal_dif'].dropna()     return df.head() print (answer_three())

this results in following output: 

                 # summer  gold  silver  bronze  total  # winter  gold.1  \ afghanistan        13     0       0       2      2         0       0 algeria            12     5       2       8     15         3       0 argentina          23    18      24      28     70        18       0 armenia             5     1       2       9     12         6       0 australasia         2     3       4       5     12         0       0               silver.1  bronze.1  total.1  # games  gold.2  silver.2  bronze.2  \ afghanistan         0         0        0       13       0         0         2 algeria             0         0        0       15       5         2         8 argentina           0         0        0       41      18        24        28 armenia             0         0        0       11       1         2         9 australasia         0         0        0        2       3         4         5               combined total   id  medal_count  medal_dif afghanistan               2  afg            0        nan algeria                  15  alg            5        1.0 argentina                70  arg           18        1.0 armenia                  12  arm            1        1.0 australasia              12  anz            3        1.0

i need rid of both '0' values in "medal_count" , nan in "medal_dif". aware maths/way have written code incorrect solve question, think need start dropping these values? any of above appreciated.

you required pass axis e.g. axis=1 drop function. axis of 0 => row, , 1 => column. 0 seems default.

enter image description here

as can see entire column dropped axis =1


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