Pandas Trick. Convert Strings to Float in Pandas DataFrame (parsing data with RegEx)
With this video I demonstrate how to extract or convert numerical data (digits) from Pandas DataFrame to Float type values in whole data structure. This is a very quick Pandas tip that let you to parse your data stored in Pandas DataFrame and prepare it for Data Analysis or for Data Scientist purposes. So because of this reason converting strings to numerical data (floats) is a part of data pre-processing (preparation) in your data analysis implemented in Python programming language. For this I used Regular Expression (RegEx) applied into Pandas Replace method. Enjoy! Vytautas #pandastrick #stringstofloat #regexpython
With this video I demonstrate how to extract or convert numerical data (digits) from Pandas DataFrame to Float type values in whole data structure. This is a very quick Pandas tip that let you to parse your data stored in Pandas DataFrame and prepare it for Data Analysis or for Data Scientist purposes. So because of this reason converting strings to numerical data (floats) is a part of data pre-processing (preparation) in your data analysis implemented in Python programming language. For this I used Regular Expression (RegEx) applied into Pandas Replace method. Enjoy! Vytautas #pandastrick #stringstofloat #regexpython