This is the code: 1 2 3 series df 'time' mydata df 'points','lat','lon','tmn'.apply(lambda x: x.str.replace (',', '.'). Share this answer Posted 2-Oct-20 22:32pm. This is so powerful that it is highly customizable and regex could be fine-tuned as per our needs to extract the numbers alone. I am trying to convert an entire column (actually, three) to float, but there's something getting wrong. ValueError: could not convert string to float: stop talking to other peoples girlfriends It is fairly obvious that the above string cannot be converted to a float value. In this approach, we are using regex matching with the help of the `re` module available in python. The Python ValueError: could not convert string to float occurs when we pass a string that contains characters or an empty string to the float() class. Replace the unnecessary character(s) with an empty string (using `str.replace`).Remove leading and trailing unwanted characters (using `str.strip`). Remove all characters, and symbols, and extract only the number (using re).command line or user-provided input) How to fix these errors❓ P.S.: All the code displayed here is run on the command line hence the file is mentioned as (refers to standard input i.e. Last but not least, a general string cannot be directly converted into a floating data type. General string Conversion Error due to one type of reason – 2 The first will only set the value if the key doesn't exist in the dict at all, so you would still get an empty string. Similarly, if we try to convert a numerical string (in python numbers enclosed in single quotes and terminated with a % is treated as a string) then we experience this issue. Lets try to use pandas dataframe and convert strings into numeric classes from sklearn import preprocessing def convert (data): number preprocessing. Converting a numerical string Error due to one type of reason – 2 This is against the rules of the python language. It’s visible from the input that an empty string cannot be converted into a float. # ❌ ValueError: could not convert string to float: 'xyz123' print(float( 'xyz123'))Ĭode language: Python ( python ) Empty String Conversion Error due to reason – 1 1 Answer Sorted by: 2 To cast that column of your data-frame as type float try: ktrain train colstouse.astype (float) target train finalstatus. # ❌ ValueError: could not convert string to float: '3.1417%' print(float( '3.1417%')) # ❌ ValueError: could not convert string to float: '' print(float( '')) from numpy import asarray from sklearn.preprocessing import MinMaxScaler scaler MinMaxScaler (featurerange (0,1)) rescaledX scaler.
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