I'm converting it into proper date format. This is a “non-breaking Latin1 ( ISO 8859-1) space”. Just remove your string column and pass that column in dummy variable function. I appreciate your help in advance. The problem was a thousand separator. ValueError: could not convert string to float: '$23,000.00' df ... on this column would produce an error, but the pd.to_numeric() function built in to pandas will convert the numeric values to numbers and any other values to the “not a number” or ... You can apply dtype and converters in the pd.read_csv() function. Then you are able to transfer by OneHotEncoder as you wish. For example, Convert string to float object in python in python. Though not the best solution, I found some success by converting it into pandas dataframe and working along. 0.42353321,45.12412141 In this programme i'm trying to solve a mathematical ratio problem, then calculate the squareroot, however, whenever i try to give it input like this: 2.5, it throws out the following error: Error:ValueError: could not convert string to float: . The text was updated successfully, but these errors were encountered: 1 Here is the syntax: 1. a better way to keep backups is to keep the same program name. Also if I convert pandas to values it does not work either! So you can try check length of the string in column Start Date:. $ pd.get_dummies(string column) Yet there are lines in my frame which have a string "p-" … y is just a list of integers that are 1 or 0. Also, same file with pandas read_csv() correctly infers the object type. In the Pandas dataframe, I have to encode all the data which are categorized to dtype:object. ValueError: could not convert string to float: '10:00:00' when trying to backtest on intraday data. ValueError: could not convert string to float in... ValueError: could not convert string to float in Machine learning. As mentioned earlier, I recommend that you allow pandas to convert to specific size float or int as it determines appropriate. code snippet # convert X into dataframe X_pd = pd.DataFrame(data=X) # replace all instances of URC with 0 X_replace = X_pd.replace(' ',0, regex=True) # convert it back to numpy array X_np = X_replace.values # set the object type as float X_fa = X_np.astype(float) ValueError: could not convert string to float: '−5.9 \xa0 ' The issue here is that we have a hidden character, xa0 that is causing some errors. majorjohnusa: 1: 351: Jul-09-2020, 05:26 AM Last Post: Knight18 : could not convert string to float: player1681: 4: 1,549: May-22-2020, 12:10 PM Last Post: buran There are two ways to convert String column to float in Pandas. Now the problem is, when I'm selecting those date features to train my model, it gives me an error: Could not convert string to float: 'Thu Apr 16 23:58:58 2015' Using asType(float) method. Series (['1.0', '2',-3]) ... Ini tidak berfungsi saat mengonversi dari String ke Float:ValueError: could not convert string to float: 'date' — Jack @Jack apakah Anda tahu solusi di sini? It is fine though. Active 4 years, 3 months ago. You have to convert time date from string to pandas timestamp. Next Article py4j.Py4JException: Method or([class java.lang.Boolean]) does not exist But each time i insert it it gives the code error: ValueError: could not convert string to float: '30,'. data=pd.read_excel('link to the file') This is not a native data type in pandas so I am purposely sticking with the float approach. “ValueError: could not convert string to float” may happen during transform. Valueerror: could not convert string to float pandas read_csv. valueerror: could not convert string to float Python offers a method called float() that converts a string to a floating-point number. This can be done with the following line (everything else is kept as you write): model = ( pd.read_csv("source.csv", parse_dates=['rssi_ts', 'batl_ts'], date_parser=lambda x: pd.to_datetime(x)) .assign(rssi_ts=lambda x: x.loc[:, 'rssi_ts'].astype(int) / 10 ** 9) Also of note, is that the function converts the number to a python float but pandas internally converts it to a float64. ValueError: could not convert string to float: id Somewhere in your text file, a line has the word id in it, which can’t really be converted to a number. To convert this to a floating-point number, i.e., float object, we will pass the string to the float() function. Based on the input string, there are various possible outcomes of this function. astype (float) Here is an example. Column ‘b’ was again converted to ‘string’ dtype as it was recognised as holding ‘string… Viewed 7k times 2. So, I have a dataframe with more that 10^6 lines in it and I am just doing a simple conversion of lat (degrees min) to lat (degrees only). The format of the values in the csv are (referring to the code, the x.append is the first value before the comma and the y.append is the second value after the comma): 0.93248231,32.12233213. Dont have anything with errors(i think) so i dont know how to solve this. Trouble converting string to float in python, As you guessed, ValueError: could not convert string to float: '13.75%' indicates that the % character blocks the convertion. Recommend：python - Pandas: Read CSV: ValueError: could not convert string to float. The two arrays are equal. However the numpy one is dtype " python - Pandas: Read CSV: ValueError: could not convert string to float python - Pandas: Read CSV: ValueError: could not convert string to float 2020腾讯云“6.18”活动开始了！ As mentioned above you have to convert your string data to float. For that you can use the concept of categorical variable. You can use asType(float) to convert string to float in Pandas. 3 . You are correct that it is because of pandas. Ask Question Asked 4 years, 3 months ago. df ['Column'] = df ['Column']. I think the problem is in data - a problematic string exists. I can read the first 16 million lines (setting nrows=160000 Now when you try to Could not convert string to float - Pandas Read Column. I am trying to perform a comparison between 5 algorithms against the KDD Cup 99 dataset and the NSL-KDD datasets using Python and I am having an issue when trying to build and evaluate the models against the KDDCup99 dataset and the NSL-KDD dataset. Saya mengalami masalah ini saat mengonversi string menjadi float. 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. 2. String to float conversion with python 23 mars 2018 / Vues: 22382 / Commentaires: 0 / Edit To convert a string to a float, one can use the python built-in function called float() , example: