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How to convert object to float in Pandas?

I read a csv file into a pandas dataframe and got all column types as objects. I need to convert the second and third columns to float. I tried using but got NaN. Here’s my dataframe. Should I need to use some regex in the third column to get rid of the “R$ “? Answer Try this: Output:

Codec error while reading a file in python – ‘charmap’ codec can’t decode byte 0x81 in position 3124: character maps to

I am working on a Machine Learning Project which filters spam/phishing emails out of all emails. For this, I am using the SpamAssassin dataset. The dataset contains different mails in this format: For identifying phishing emails, first thing I have to do is finding out how many web-links the email has. For doing that, I have written the following code:

How to capture a group only if occurs twice in a line

How should I make the match happen only when the occurence is found twice in a line? Regular expression that highlights two ‘o’s that appear beside each other only if there is another occurence of two ‘o’s appearing beside each other subsequently in the same line Answer You can match a single word char with a backreference, and group that

Restructure Pandas DataFrame

I have the following DataFrame: play_id position frame x y 1 A_1 1 0.1 0.1 1 A_2 1 0.1 0.1 1 B_1 1 0.1 0.1 1 A_1 2 0.1 0.1 1 A_2 2 0.1 0.1 1 B_1 2 0.1 0.1 2 A_1 1 0.1 0.1 2 B_1 1 0.1 0.1 2 B_2 1 0.1 0.1 2 A_1 2 0.1 0.1

how can i load objects filtered through a form in django?

i’m using django to store photos in a server. these photos are stored through a model that has an imageField and a charField called tags. i’m looking to filter objects from my database using keywords i receive from a form. the form is in a file called navbar.html: i’ve defined a function in my views.py called filtered: (also i’m not

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