I am trying to browse my DF doing :

for row in range(len(DF)):
    for col in range(len(DF.columns)):
        print(DF[row][col])

but doing so throw :

KeyError: 0

I am wondering, how to browse a whole dataframe (including col name and excluding index) using only col number and row number.

CodePudding user response：

If need select values by indices use DataFrame.iat/ DataFrame.iloc:

for row in range(len(DF)):
    for col in range(len(DF.columns)):
        print(DF.iat[row, col])
        #print(DF.iloc[row, col])

Better selecting by values of index, columns, it is same ouput if not duplicated index/columns values use DataFrame.at/DataFrame.loc:

for row in DF.index:
    for col in DF.columns:
        print(DF.at[row, col])
        #print(DF.loc[row, col])

BUT if possible use some vectorized solution the best is avoid looping.

CodePudding user response：

A nice option might be to stack and use a single loop:

for (row, col), value in df.stack().items():
    print(row, col, value)

Example:

i A 0
i B 1
i C 2
j A 3
j B 4
j C 5
k A 6
k B 7
k C 8

used input:

   A  B  C
i  0  1  2
j  3  4  5
k  6  7  8