Pandas Dataframe - Move Rows From One Dataframe To Another

I have a python pandas dataframe that has 3 rows in it: Name Time count AAA 5:45 5 BBB 13:01 8 CCC 11:16 3 I am trying to loop through this dataframe and if the count is

Solution 1:

You can use boolean indexing only, as Edchum mentioned in comment:

import pandas as pd

df4 = pd.DataFrame({'Name': {0: 'AAA', 1: 'BBB', 2: 'CCC'}, 
                    'Time': {0: '5:45', 1: '13:01', 2: '11:16'}, 
                    'count': {0: 5, 1: 8, 2: 3}})
print (df4)
  Name   Time  count
0  AAA   5:45      5
1  BBB  13:01      8
2  CCC  11:16      3

res = pd.DataFrame(columns=('MachineName', 'DateTime', 'Occurences'))
res = pd.concat([res, df4[df4['count'] >= 5]])
print (res)
  DateTime MachineName Name Occurences   Time  count
0      NaN         NaN  AAA        NaN   5:45    5.0
1      NaN         NaN  BBB        NaN  13:01    8.0