Q:

How to use if condition for pandas dataframe

I have a dataframe where I have performed operation like:
  df: 

      ColA      ColB       ColC 
      1         7.9E-08    1.3E-16
      0.92      2.2E-02    4.5E-18
      0.98      2.2E-06    5.6E-18

I want to check if value of colA is > 0.95, If yes, I want to print true in additional column or 'False' if not
The output should looks like:
  ColA      ColB       ColC     Confidence %
  1         7.9E-08    1.3E-16   True
  0.92   2.2E-02    4.5E-18      False
  0.98   2.2E-02    4.5E-18      Type

Code:
for index, row in result_withoutTC.iterrows():
    if row['Confidence %'] > 0.95:
        reject_list.append(True)

    else:
        accept_list_withoutTC.append(False)

result_withoutTC['Confidence %'] = reject_list_without_TC

A:

For a simple test of this sort you can create this column directly with:
result_withoutTC['confidence'] = result_withoutTC['ColA']>0.95

