import pandas as pd
d = {"Device_Type" : ["AXO145","TRU151","ZOD231","YRT326","LWR245"],
"Stat_Access_Link" : ["<url>https://xcd32112.smart_meter.com</url>",
"<url>http://tXh67.dia_meter.com</url>",
"<url>https://yT5495.smart_meter.com</url>",
"<url>https://ret323_TRu.crown.com</url>",
"<url>https://luwr3243.celcius.com</url>"]}
df = pd.DataFrame(data = d)
I have a dataframe like this and what I need to do is extract url information from tags using regex. The output has to be like this:
Device_Type | Stat_Access_Link |
---|---|
AXO145 | xcd32112.smart_meter.com |
TRU151 | tXh67.dia_meter.com |
ZOD231 | yT5495.smart_meter.com |
YRT326 | ret323_TRu.crown.com |
LWR245 | luwr3243.celcius.com |
Any help is appreciated.
Do you really need a regex?
If you always have <url>...</url>
, use:
df['Stat_Access_Link'].str[5:-6]
else, you could use:
df['Stat_Access_Link'].str.extract(r'<url>(.*)</url>', expand=False)
# OR
df['Stat_Access_Link'].str.extract(r'<url>([^<>]*)</url>', expand=False)
output:
0 https://xcd32112.smart_meter.com
1 http://tXh67.dia_meter.com
2 https://yT5495.smart_meter.com
3 https://ret323_TRu.crown.com
4 https://luwr3243.celcius.com
Name: Stat_Access_Link, dtype: object
str.extract
is what you need:
d = {"Device_Type" : ["AXO145","TRU151","ZOD231","YRT326","LWR245"],
"Stat_Access_Link" : ["<url>https://xcd32112.smart_meter.com</url>",
"<url>http://tXh67.dia_meter.com</url>",
"<url>https://yT5495.smart_meter.com</url>",
"<url>https://ret323_TRu.crown.com</url>",
"<url>https://luwr3243.celcius.com</url>"]}
df = pd.DataFrame(d)
pattern = re.compile(r"(?<=://)(.*)(?=</url)")
df['Stat_Access_Link'] = df['Stat_Access_Link'].str.extract(pattern, expand=False)
print(df)
Output:
Device_Type Stat_Access_Link
0 AXO145 xcd32112.smart_meter.com
1 TRU151 tXh67.dia_meter.com
2 ZOD231 yT5495.smart_meter.com
3 YRT326 ret323_TRu.crown.com
4 LWR245 luwr3243.celcius.com
In my opinion, you should consider using the pandas solution pd.DataFrame.str.extract
since it is built into pandas.
reg=r'\/\/([\s\S]*)<'
df['matched'] = df['Stat_Access_Link'].str.extract(reg)
print(df)
Here are what the results look like:
Device_Type | Stat_Access_Link | matched | |
---|---|---|---|
0 | AXO145 | https://xcd32112.smart_meter.com | xcd32112.smart_meter.com |
1 | TRU151 | http://tXh67.dia_meter.com | tXh67.dia_meter.com |
2 | ZOD231 | https://yT5495.smart_meter.com | yT5495.smart_meter.com |
3 | YRT326 | https://ret323_TRu.crown.com | ret323_TRu.crown.com |
4 | LWR245 | https://luwr3243.celcius.com | luwr3243.celcius.com |
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