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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:

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…

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