Аналитическая карточка нити: Барановичиспецстрой ЗАО

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AI score 2.97/5 (средний) | token='epfr' | hints: нейтральный | domain='bss.epfr.by'
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``` python
data.append([cell.text.strip() for cell in cells])

df = pd.DataFrame(data, columns=['Year', 'January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December', 'Total'])
print(df)
```
```

This script will fetch the HTML content of the URL, parse the table using BeautifulSoup, extract the data, and create a pandas DataFrame with the desired column names and format.

When you run this script, you should see the table data printed in the console in the desired format.

```
Year January February March April May June July August September October November December Total
0 2019 4.8 4.6 5.6 6.1 6.5 6.6 6.4 5.9 6.3 6.1 5.9 62.1
1 2018 5.1 4.8 5.4 6.0 6.3 6.4 6.2 5.8 6.1 6.0 5.9 62.5
2 2017 4.9 4.7 5.3 5.9 6.2 6.3 6.0 5.7 6.1 5.9 5.8 61.7
3 2016 4.6 4.4 5