Min or Max of pandas data series between two rows

Question

I have a pandas dataframe. Suppose the column names are 'A', 'B', and 'C'.

How can I calculate the min and/or max of data in column 'A' inclusive of only rows m to p? Where m < p and m != 0 and p < the number of rows in the dataframe.

What if I store the column names in a list and want to iterate over them in a loop and get the max.

colNames = ['A', 'B', 'C']
for col in colNames:
     # get the max here

Answer 1

How about this?

df.A[m:p].min()

Answer 2

By using .iloc and loc, assuming your m=1 and p=3

colNames=['A','B']
df.iloc[1:3,:].loc[:,colNames]
Out[767]: 
   A  B
1  2  2
2  3  1
df.iloc[1:3,:].loc[:,colNames].min() #get the min of each column
Out[768]: 
A    2
B    1
dtype: int64
df.iloc[1:3,:].loc[:,colNames].min(1) # get the min of each row
Out[769]: 
1    2
2    1
dtype: int64

Data input

df = pd.DataFrame({"A": [1,2,3],
                   'B':[3,2,1],'C':[2,1,3]})