Category: Python Answers

Sometimes, we want to fix ‘ResultSet’ object has no attribute ‘find_all’ with Python Beautiful Soup.

In this article, we’ll look at how to fix ‘ResultSet’ object has no attribute ‘find_all’ with Python Beautiful Soup.

How to fix ‘ResultSet’ object has no attribute ‘find_all’ with Python Beautiful Soup?

To fix ‘ResultSet’ object has no attribute ‘find_all’ with Python Beautiful Soup, we call find_all on objects returned in the list returned by find_all.

For instance, we write

import requests
from bs4 import BeautifulSoup

url = 'http://foo.com'
r = requests.get(url)

soup = BeautifulSoup(r.text)
table = soup.find_all(class_='dataframe')

l = len(table[0].find_all('tr'))

to call soup.find_all to find all items with class dataframe.

Then we get the first element from the table list and call find_all on that to find tr elements.

Conclusuon

To fix ‘ResultSet’ object has no attribute ‘find_all’ with Python Beautiful Soup, we call find_all on objects returned in the list returned by find_all.

Sometimes, we want to overwrite the previous print to stdout in Python.

In this article, we’ll look at how to overwrite the previous print to stdout in Python.

How to overwrite the previous print to stdout in Python?

To overwrite the previous print to stdout in Python, we call print with the end argument set to a carriage return.

For instance, we write

for x in range(10):
    print(x, end='\r')
print()

to call print to print x with a carriage return at the end as specified by

end='\r'

This will overwrite the previous print to stdout.

Conclusion

To overwrite the previous print to stdout in Python, we call print with the end argument set to a carriage return.

Sometimes, we want to loop through all nested dictionary values with Python.

In this article, we’ll look at how to loop through all nested dictionary values with Python.

How to loop through all nested dictionary values with Python?

To loop through all nested dictionary values with Python, we can create a recursive function.

For instance, we write

def my_print(d):
    for k, v in d.items():
        if isinstance(v, dict):
            my_print(v)
        else:
            print("{0} : {1}".format(k, v))

to create the my_print function that loops through key-value pairs in the d dict.

In the loop body, we use a for loop to loop through the k key and v value returned from items.

Then we call isinstance to check if v is a dict.

If it is, we call my_print with it.

Otherwise, we print the values of k and v.

Conclusion

To loop through all nested dictionary values with Python, we can create a recursive function.

Sometimes, we want to sort Python Pandas dataframe from one column.

In this article, we’ll look at how to sort Python Pandas dataframe from one column.

How to sort Python Pandas dataframe from one column?

To sort Python Pandas dataframe from one column, we can use the sort_values method.

For instance, we write

final_df = df.sort_values(by=['2'], ascending=False)

to call sort_values with the by argument set to a list of column names to sort by.

And the ascending argument is set to False since we want to sort in descending order.

Conclusion

To sort Python Pandas dataframe from one column, we can use the sort_values method.

Sometimes, we want to use proxies with the Python ‘Requests’ module.

In this article, we’ll look at how to use proxies with the Python ‘Requests’ module.

How to use proxies with the Python ‘Requests’ module?

To use proxies with the Python ‘Requests’ module, we can set the proxies argument when we make the request.

For instance, we write

http_proxy = "http://10.10.1.10:3128"
https_proxy = "https://10.10.1.11:1080"
ftp_proxy = "ftp://10.10.1.10:3128"

proxies = {"http": http_proxy, "https": https_proxy, "ftp": ftp_proxy}

r = requests.get(url, headers=headers, proxies=proxies)

to call requests.get with the url to make the requests to and the proxies argument set to the proxies dict that has the proxy URLs for http, https, and ftp requests.

Conclusion

To use proxies with the Python ‘Requests’ module, we can set the proxies argument when we make the request.