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. For example, ValueError: could not convert string to float: '10:00:00' when trying to backtest on intraday data. 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 Convert String column to float in Pandas. You may use LabelEncoder to transfer from str to continuous numerical values. Dont have anything with errors(i think) so i dont know how to solve this. You have to convert time date from string to pandas timestamp. 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) s pd.read_csv(filename, quotechar='"', low_memory=True, dtype=data_types, usecols= columns, true_values=['T'], false_values=['F']) I am pretty sure that the data types are correct. Convert string to float object in python in python. I can read the first 16 million lines (setting nrows=160000 As mentioned earlier, I recommend that you allow pandas to convert to specific size float or int as it determines appropriate. Now column ‘a’ remained an object column: pandas knows it can be described as an ‘integer’ column (internally it ran infer_dtype) but didn’t infer exactly what dtype of integer it should have so did not convert it. data=pd.read_excel('link to the file') I think the problem is in data - a problematic string exists. The text was updated successfully, but these errors were encountered: 1 df ['Column'] = df ['Column']. For that you can use the concept of categorical variable. valueerror: could not convert string to float Python offers a method called float() that converts a string to a floating-point number. This is not a native data type in pandas so I am purposely sticking with the float approach. Based on the input string, there are various possible outcomes of this function. In the Pandas dataframe, I have to encode all the data which are categorized to dtype:object. Though not the best solution, I found some success by converting it into pandas dataframe and working along. 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. Valueerror: could not convert string to float pandas read_csv. Which converts this string to a float and returns the float object. 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. As mentioned above you have to convert your string data to float. This is a “non-breaking Latin1 ( ISO 8859-1) space”. ValueError: could not convert string to float: RandomCoder: 3: 908: Jul-27-2020, 07:38 AM Last Post: ndc85430 : Why int() cannot pass a string representation of a float into int? When writing the CSV file, most numbers were below thousand and were correctly Pandas: Read CSV: ValueError: could not convert string to float. But each time i insert it it gives the code error: ValueError: could not convert string to float: '30,'. The problem was a thousand separator. 3 . Yet there are lines in my frame which have a string "p-" … Recommend：python - Pandas: Read CSV: ValueError: could not convert string to float. Saya mengalami masalah ini saat mengonversi string menjadi float. Home > 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！ 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. $ pd.get_dummies(string column) Using asType(float) method. y is just a list of integers that are 1 or 0. ValueError: could not convert string to float in... ValueError: could not convert string to float in Machine learning. 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: This method is useful if you need to perform a mathematical operation on a value. I'm converting it into proper date format. Put all source into a directory named src; Create another directory at same node named backup. 0.42353321,45.12412141 Ask Question Asked 4 years, 3 months ago. ... First load the csv or text file using pandas.It’s pretty simple. ValueError: Could not convert string to float '.' I appreciate your help in advance. So you can try check length of the string in column Start Date:. 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' You are correct that it is because of pandas. To convert this to a floating-point number, i.e., float object, we will pass the string to the float() function. However the numpy one is dtype "