def ip2Int(ip):
o = map(int, ip.split('.'))
res = (16777216 * o[0]) + (65536 * o[1]) + (256 * o[2]) + o[3]
return res
intIP=[]
for row in data2:
intIP.append(ip2Int(data2[row].astype(str)))
print intIP[row]
print intIP
I got this error:
'Series' object has no attribute 'split'
What's wrong?
Use str.split for Dataframe and then convert all columns to int by astype. Last call function:
data2 = pd.Series(['85.237.234.182','95.237.234.187','85.237.134.187','85.207.234.187'])
print (data2)
0 85.237.234.182
1 95.237.234.187
2 85.237.134.187
3 85.207.234.187
dtype: object
def ip2Int(ip):
o = ip.str.split('.', expand=True).astype(int)
res = (16777216 * o[0]) + (65536 * o[1]) + (256 * o[2]) + o[3]
return res
s = ip2Int(data2)
print (s)
0 1441655478
1 1609427643
2 1441629883
3 1439689403
dtype: int32
intIP = ip2Int(data2).tolist()
print (intIP)
[1441655478, 1609427643, 1441629883, 1439689403]
If need return strings add casting to str:
def ip2Int(ip):
o = ip.str.split('.', expand=True).astype(int)
res = (16777216 * o[0]) + (65536 * o[1]) + (256 * o[2]) + o[3]
return res.astype(str)
s = ip2Int(data2)
print (s)
0 1441655478
1 1609427643
2 1441629883
3 1439689403
dtype: object
intIP = ip2Int(data2).tolist()
print (intIP)
['1441655478', '1609427643', '1441629883', '1439689403']
If data2 is DataFrame and need new column:
def ip2Int(ip):
o = ip.str.split('.', expand=True).astype(int)
res = (16777216 * o[0]) + (65536 * o[1]) + (256 * o[2]) + o[3]
return res
data2['intIP'] = ip2Int(data2['col'])
print (data2)
col intIP
0 85.237.234.182 1441655478
1 95.237.234.187 1609427643
2 85.237.134.187 1441629883
3 85.207.234.187 1439689403
