Couldn%27t convert string to float python - Jul 18, 2023 · This article is aimed at providing information about converting the string to float. In Python, we can use float () to convert String to float. and we can use int () to convert a String to an integer. Input: "33.28" Output: 33.28 # float Explanation: int in input and float in output.

 
What this does is splits every item at the '-', and takes the first part and converts it to float. Items like this '9.8-10.0 ' cannot directly be converted to a float as they consist of a - in them. So you need to decide whether you want the first part (before -) to be converted to float or the second part (after the -).. Vector quantized image modeling with improved vqgan

Dec 2, 2017 · 2. You're trying to convert the string "" into a float. "" doesn't make sense as a float, so you'll have to do one of the following. 1 Populate your fields with strings that make sense as floats. For example "0". 2 Set a default value. The following code sets wins as the float value of wins or 0.0 if not applicable. 3 Answers. A quick solution would involve using pd.to_numeric to convert whatever strings your data might contain to numeric values. If they're incompatible with conversion, they'll be reduced to NaN s. from sklearn.linear_model import LinearRegression X = X.apply (pd.to_numeric, errors='coerce') Y = Y.apply (pd.to_numeric, errors='coerce ...5,534 3 25 36. asked Jul 21, 2019 at 14:51. Sudhanshu Kumar Tiwari. 1 1. 1. Somehow you are trying to convert the string 'f' to a float.It is probably in the .csv file. You'll have to find it and figure out why. – wwii.ValueError: could not convert string to float: 'D' I have tried: train=train.astype(float) Replacing all 'D' with another value. train.convert_objects(convert_numeric=True) But the issue still persists. I also tried printing all the valueErrors in my csv file, but cannot find a reference to 'D'. This is my trace:Jun 7, 2016 · It is most likely a problem with the data. Since you don't have any point in the code where you attempt to convert to float, it must be that the data you have is in a form that prevents it from being read as a number by your parsing commands. Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about TeamsMay 25, 2023 · Now, if you enter a string, this is how the output would look: Enter a number (precision up to at least one decimal place)= Hello Please enter a number as per instruction! And, if we give a proper float input, the output would be: Enter a number (precision upto atleast one decimal place)= 16.663 After dividing by 10 we get= 1.6663000000000001. Then you must convert the string to a comma. Python includes a built-in float() function for converting text to a floating point value. This function will come in handy when executing a mathematical operation on a string object. A string is an appropriate type to convert to a float. However, specific string values cannot be converted to float. Jun 22, 2023 · When I try to replicate this behavior, the corr() method works OK but spits out a warning (shown below) that warns that the ignoring of non-numeric columns will be removed in the future. Aug 3, 2022 · This tutorial was tested with Python 3.9.6. Using the float() function. We can convert a string to float in Python using the float() function. This is a built-in function used to convert an object to a floating point number. Internally, the float() function calls specified object __float__() function. Example If your replacements result in with something that doesn't parse as float then astype will fail. You can use the pandas.to_numeric to handle problematic data using the "errors='coerce'" argument; the empty ('') values will be converted to NaN.You're getting this because your series is string, but it contains some NAs, which actually get represented in pandas as nan, which is a float value (that's how pd.read_csv() will handle it). That's why pandas gives a strange warning claiming the string series is a float: Solution: first, fill any NA values in your string column with empty-string:Sep 20, 2017 · 5. As you guessed, ValueError: could not convert string to float: '13.75%' indicates that the % character blocks the convertion. Now when you try to remove it: df ['int_rate'] = df ['int_rate'].replace ("%","", inplace=True) You set inplace=True in your replacement, which as the name suggests changes the dataframe in-place, so replace () method ... Jun 29, 2020 · ValueError: could not convert string to float: 'X_train' ... not able to convert string to float in python and how to train the model with this dataset. 5. Convert String to Float in Python. Below are 6 common and simple methods used to convert a string to float in python. 1) Using float() function. You can use the float() function to convert any data type into a floating-point number. This method only accepts one parameter. If you do not pass any argument, then the method returns 0.0.I keep getting a valueerror: could not convert string to float: '1956-01' The code is supposed to scale the data for machine learning using minmax scaler, but its saying I have strings. I think the code converted it into datetime. Oct 6, 2022 · How to fix these errors . There are 4 methods to fix this issue. Those are: Remove all characters, and symbols, and extract only the number (using re) Remove leading and trailing unwanted characters (using `str.strip`) Replace the unnecessary character (s) with an empty string (using `str.replace`) Using try-catch logic. You're getting this because your series is string, but it contains some NAs, which actually get represented in pandas as nan, which is a float value (that's how pd.read_csv() will handle it). That's why pandas gives a strange warning claiming the string series is a float: Solution: first, fill any NA values in your string column with empty-string:ValueError: could not convert string to float: I want to replace these " " by NaN values, in a large dataframe. ... ValueError: could not convert string to float ...Syntax. Python has different data types for a different set of values, Integers deals with numbers and float deals with both decimal and numeric characters, Boolean deals with Binary values ( True or False) and there are strings that could take alphanumeric values and python allows different data structures like list, Tuple, Dictionary & sets for working with different problems.ValueError: could not convert string to float: RahulSingh: 3: 3,566: Apr-09-2020, 02:59 PM Last Post: dinesh : convert a list of string+bytes into a list of strings (python 3) pacscaloupsu: 4: 9,853: Mar-17-2020, 07:21 AM Last Post: markfilan : Convert dataframe string column to numeric in Python: darpInd: 1: 1,974: Mar-14-2020, 10:07 AM Last ...Mar 10, 2017 · ValueError: could not convert string to float: 'john_smith' And 'john_smith' is a value from the first column of data (data[:,0]), since I defined this to be a string, I don't even understand why it tries to convert it to a float. Also: 'john_smith' is neither the first or the last element of the data array. So, what is wrong here? Working example: f1 = float ( "123.123" ) # output: 123.123 f2 = float ( "1" ) # output: 1.0 f3 = float ( 1 ) # output: 1.0. As you can see the above strings were converted into a floating object. The only thing you should keep in mind is that the string should contain a numerical decimal or integer value, only then would the float function be able to convert ...Jun 7, 2016 · It is most likely a problem with the data. Since you don't have any point in the code where you attempt to convert to float, it must be that the data you have is in a form that prevents it from being read as a number by your parsing commands. Jun 22, 2020 · If you're reading a CSV file with any data, I highly recommend to use Pandas.This would help you to use the data with Neural Networks as well. (Install Pandas)Below snippet will load the CSV into Pandas 2-dimensional data type called DataFrame. now you have a full dataset with int and float and your SVC can works well with it but before you need to split: it is a good ideas to have a test size inferior to the train size , it may be preferable to use a value inferior to 0.5 for test_size find more about training set and test set size hereFix ValueError: could not convert string to float. Solution 1: Ensure the string has a valid floating value. Solution 2: Use try-except. If you convert a string object into a floating-point in Python many times you will get a ValueError: could not convert string to float. Usually, this happens if the string object has an invalid floating value ...It is most likely a problem with the data. Since you don't have any point in the code where you attempt to convert to float, it must be that the data you have is in a form that prevents it from being read as a number by your parsing commands.Solution 2: Using str.replace () Function. The “ str.replace () ” function is also used to fix the “ ValueError: could not convert string to float ” by replacing any symbols or characters with an empty string. In the below snippet, the “ str.repalce () ” function is used to replace the unwanted symbols and strings:Mar 10, 2017 · ValueError: could not convert string to float: 'john_smith' And 'john_smith' is a value from the first column of data (data[:,0]), since I defined this to be a string, I don't even understand why it tries to convert it to a float. Also: 'john_smith' is neither the first or the last element of the data array. So, what is wrong here? Working example: Jul 21, 2019 · 5,534 3 25 36. asked Jul 21, 2019 at 14:51. Sudhanshu Kumar Tiwari. 1 1. 1. Somehow you are trying to convert the string 'f' to a float.It is probably in the .csv file. You'll have to find it and figure out why. – wwii. Jun 16, 2021 · Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams However OneHotEncoder does not support to fit_transform() of string. "ValueError: could not convert string to float" may happen during transform. You may use LabelEncoder to transfer from str to continuous numerical values. Then you are able to transfer by OneHotEncoder as you wish. ValueError: could not convert string to float: ''. ...implies that the Python interpreter was unable to convert a string to float. You were close enough. text method would return a string and to strip off the %, instead of string.split ('%') you want list = string.split ('%') [0]. An example:Jan 15, 2023 · In Python, if you convert a string object into a floating point, you may face the ValueError could not convert the string to float numerous times. Usually, this happens if the string object is an invalid parameter to the float (). Code # decimal to float decimal_num = "10a" # invalid value float_num = float (decimal_num) float_num Output Now, if you enter a string, this is how the output would look: Enter a number (precision up to at least one decimal place)= Hello Please enter a number as per instruction! And, if we give a proper float input, the output would be: Enter a number (precision upto atleast one decimal place)= 16.663 After dividing by 10 we get= 1.6663000000000001.Jan 6, 2019 · Jan 6, 2019 at 21:32. As explained in the answer, ValueError: could not convert string to float can occur when reading a dataframe from a csv file and casting types df = df [ ['p']].astype ( {'p': float}). If the csv was recorded with empty spaces, python will not recognize the space characters. Jul 9, 2011 · If you are writing a string literal constant in the source code and then explicitly converting it to integer or float, that's a sign of something wrong with the design. But even if it can be defended - just temporarily set the locale to the one the code is written in, for that context, and then restore the context appropriate to your users when ... – Replace the Unwanted Characters Using a Python Function. You can replace unwanted characters from your string using the “replace()” function. This will work for our previous pandas example, and the following string in our first example: “22,2.329%”. Now, let’s check the output: Enter the value you want to convert to GBP: 2,300. Traceback (most recent call last): File “main.py”, line 1, in <module>. dollar_value = float (input (“Enter the value you want to convert to GBP: “)) Python valueerror: could not convert string to float: ‘2,300’. Finally, it is the main reason to cause ...Jul 18, 2023 · This article is aimed at providing information about converting the string to float. In Python, we can use float () to convert String to float. and we can use int () to convert a String to an integer. Input: "33.28" Output: 33.28 # float Explanation: int in input and float in output. Nov 9, 2021 · Matplotlib fails with ValueError: cannot convert float NaN to integer 0 TypeError: Image data of dtype object cannot be converted to float - Issue with HeatMap Plot using Seaborn 3 Answers. A quick solution would involve using pd.to_numeric to convert whatever strings your data might contain to numeric values. If they're incompatible with conversion, they'll be reduced to NaN s. from sklearn.linear_model import LinearRegression X = X.apply (pd.to_numeric, errors='coerce') Y = Y.apply (pd.to_numeric, errors='coerce ...A try/except handles the ValueError that might occur when float tries to convert the input to a float. The problem is exactly what the Traceback log says: Could not convert string to float. If you have a string with only numbers, python's smart enough to do what you're trying and converts the string to a float. When I try to replicate this behavior, the corr() method works OK but spits out a warning (shown below) that warns that the ignoring of non-numeric columns will be removed in the future.Apr 25, 2015 · A solution to your question might be splitting the strings to represent two floating point numbers and then multiply them together, like in the following snippet: from sys import stderr callback = lambda x: stderr.write ('Invalid floating point number found: {0}'.format (x)) def convert (src, error_callback): ret = list () for item in src ... Python "ValueError: could not convert string to float: %". Create a function called format_change which takes a string such as those in the Change column and does the following: def format_change (string): if string [-1] == "%": string = string [-1] str_as_float = float (string) if str_as_float > 0: str_as_float = str_as_float * 100 return str ... – Replace the Unwanted Characters Using a Python Function. You can replace unwanted characters from your string using the “replace()” function. This will work for our previous pandas example, and the following string in our first example: “22,2.329%”. 3 Answers. A quick solution would involve using pd.to_numeric to convert whatever strings your data might contain to numeric values. If they're incompatible with conversion, they'll be reduced to NaN s. from sklearn.linear_model import LinearRegression X = X.apply (pd.to_numeric, errors='coerce') Y = Y.apply (pd.to_numeric, errors='coerce ...I keep getting a valueerror: could not convert string to float: '1956-01' The code is supposed to scale the data for machine learning using minmax scaler, but its saying I have strings. I think the code converted it into datetime.The “ValueError: could not convert string to float:<>” is an exception that is raised when we attempt to convert a string that cannot be converted into float using the float() function, for example, an empty string and a string with non-numeric characters.Jan 6, 2022 · with open ("n38bn.txt", r, encoding="utf-8") as file: # Open the file for the length of the width block numbers = [float (line.strip ()) for line in file] # For each line, strip, convert to float and add to list result = sum (numbers) # Sum the list print ("The sum is", result) This uses a list comprehension to build the list in one line, and ... STILL GOT QUERIES? Get a Live FREE Demo. Explore the trending and niche courses and learning maps; Learn about tuition fee, payment plans, and scholarships; Get access to webinars and self-paced learning videosI think np.loadtxt expects numbers so it does not know how to convert a value which starts with a ' (', I think you have two choices here: lines = [] with open ('datafile') as infile: for line in infile: line = line.rstrip (' ') [1:-1] # this removes first and last parentheses from the line lines.append ( [float (v) for v in line.split ...FWIW, you can use the standard unicodedata module to get the name of each char in string that's behaving mysteriously. Eg, if the string is s do import unicodedata as ud print(*map(ud.name, s), sep=', ').However OneHotEncoder does not support to fit_transform() of string. "ValueError: could not convert string to float" may happen during transform. You may use LabelEncoder to transfer from str to continuous numerical values. Then you are able to transfer by OneHotEncoder as you wish. 5. As you guessed, ValueError: could not convert string to float: '13.75%' indicates that the % character blocks the convertion. Now when you try to remove it: df ['int_rate'] = df ['int_rate'].replace ("%","", inplace=True) You set inplace=True in your replacement, which as the name suggests changes the dataframe in-place, so replace () method ...ValueError: could not convert string to float: 'john_smith' And 'john_smith' is a value from the first column of data (data[:,0]), since I defined this to be a string, I don't even understand why it tries to convert it to a float. Also: 'john_smith' is neither the first or the last element of the data array. So, what is wrong here? Working example:Sep 23, 2021 · The machine cannot uderstand or work with string values. It only understands numeric values. So for example if you are doing a machine learning task, you would use libraries like OneHotEncoder, LabelEncoder etc to covert string values to numeric. For your case, you are working on a NLP task which uses text values instead of string values. In: merged['platnosc_total'].astype(float) Out: ValueError: could not convert string to float: '7,50' Does this mean that the rest got converted, and only the row with 7,50 is the cause? How can I actually cast this field/column to float?Jun 7, 2016 · It is most likely a problem with the data. Since you don't have any point in the code where you attempt to convert to float, it must be that the data you have is in a form that prevents it from being read as a number by your parsing commands. How to overcome the Could not convert String to Float? Python Value Error: could not convert string to float dataframe (How can i find the position of the values)Read the input strvalue and use float () to convert it to a float type. Args: strvalue (str): The input string. Returns: True if strvalue is a string that can be converted to a float type, otherwise False. """ try: myfloat = float (strvalue) except ValueError: print (f'The input string {strvalue} cannot be converted to a float type.') else ...The “ValueError: could not convert string to float:<>” is an exception that is raised when we attempt to convert a string that cannot be converted into float using the float() function, for example, an empty string and a string with non-numeric characters.f1 = float ( "123.123" ) # output: 123.123 f2 = float ( "1" ) # output: 1.0 f3 = float ( 1 ) # output: 1.0. As you can see the above strings were converted into a floating object. The only thing you should keep in mind is that the string should contain a numerical decimal or integer value, only then would the float function be able to convert ...I have this assignment where I use SVC() and best gridsearchCV() from scikit learn to fit a model. Bit I am getting can not convert string to float. All my X_train data seem to int64 and float64. But y_train data are "yes" and "no".Syntax. Python has different data types for a different set of values, Integers deals with numbers and float deals with both decimal and numeric characters, Boolean deals with Binary values ( True or False) and there are strings that could take alphanumeric values and python allows different data structures like list, Tuple, Dictionary & sets for working with different problems.The machine cannot uderstand or work with string values. It only understands numeric values. So for example if you are doing a machine learning task, you would use libraries like OneHotEncoder, LabelEncoder etc to covert string values to numeric. For your case, you are working on a NLP task which uses text values instead of string values.could not convert string to float: and not the Exception that i wrote it. raise Exception("this Record has empty value") row[0]==> Date type Date; row[10]==> wind speed type float; row[11]==> fog type boolean; code:Oct 3, 2019 · Python: Naive Bayes fit function gives TypeError: float() argument must be a string or a number 0 ValueError: bad input shape (1, 4) in sklearn.naive_bayes.GaussianNB Solution 2: Using str.replace () Function. The “ str.replace () ” function is also used to fix the “ ValueError: could not convert string to float ” by replacing any symbols or characters with an empty string. In the below snippet, the “ str.repalce () ” function is used to replace the unwanted symbols and strings:I have this assignment where I use SVC() and best gridsearchCV() from scikit learn to fit a model. Bit I am getting can not convert string to float. All my X_train data seem to int64 and float64. But y_train data are "yes" and "no".ValueError: could not convert string to float: 'Null' # else, only a single dtype is given # _astype_nansafe works fine with 1-d only # TODO(extension) # Explicit copy, or required since NumPy can't view from / to object.When I try to replicate this behavior, the corr() method works OK but spits out a warning (shown below) that warns that the ignoring of non-numeric columns will be removed in the future.Oct 23, 2020 · Add a comment. 1. First use this line to obtain the current dtypes: col_dtypes = dict ( [ (k, v.name) for k, v in dict (df.dtypes).items ()]) Like so: xls3 = pd.read_csv ('path/to/file') col_dtypes = dict ( [ (k, v.name) for k, v in dict (xls3.dtypes).items ()]) print (col_dtypes) Copy the value that is printed. It should be like this: Let me clarify: The only table per file consists of four columns (time, temperature, humidity, dewpoint) and at some point (spanning roughly line 25 to 150 or so), only the value of humidity apparently is set to "--327", which python tries to convert to float and obviously fails to do.A string is a suitable type to convert to a float. But several string values are not suitable to convert to float: A value that contains non-special terms, for example, ‘nan’ is a special term, “bread” is not. A value that contains a commas, speech marks and other non alphanumeric characters. A value that contains spaces.Like the comments said, you are trying to convert a string or object (in this case "Male") into a float. Try to output your variables and their types to makes you see where you are trying to convert the float.Apr 1, 2023 · Syntax. Python has different data types for a different set of values, Integers deals with numbers and float deals with both decimal and numeric characters, Boolean deals with Binary values ( True or False) and there are strings that could take alphanumeric values and python allows different data structures like list, Tuple, Dictionary & sets for working with different problems. Jun 22, 2020 · If you're reading a CSV file with any data, I highly recommend to use Pandas.This would help you to use the data with Neural Networks as well. (Install Pandas)Below snippet will load the CSV into Pandas 2-dimensional data type called DataFrame. Oct 23, 2020 · Add a comment. 1. First use this line to obtain the current dtypes: col_dtypes = dict ( [ (k, v.name) for k, v in dict (df.dtypes).items ()]) Like so: xls3 = pd.read_csv ('path/to/file') col_dtypes = dict ( [ (k, v.name) for k, v in dict (xls3.dtypes).items ()]) print (col_dtypes) Copy the value that is printed. It should be like this: Hi I'm running this code to pick up data from a serial port and convert them into values. The data are in this form: b'-1.379531 -0.050295 ' The lines that I use to convert them into float. def separa_dati (text): try: return float (text) except ValueError: return text if z1serial.is_open: k = 0 while k <100: size = z1serial.inWaiting () if ...Sep 7, 2017 · 3 Answers. A quick solution would involve using pd.to_numeric to convert whatever strings your data might contain to numeric values. If they're incompatible with conversion, they'll be reduced to NaN s. from sklearn.linear_model import LinearRegression X = X.apply (pd.to_numeric, errors='coerce') Y = Y.apply (pd.to_numeric, errors='coerce ... Convert string to float object in python in python. Suppose we have a string ‘181.23’ as a Str object. To convert this to a floating-point number, i.e., float object, we will pass the string to the float() function. Which converts this string to a float and returns the float object. For example,Jun 16, 2021 · Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams What this does is splits every item at the '-', and takes the first part and converts it to float. Items like this '9.8-10.0 ' cannot directly be converted to a float as they consist of a - in them. So you need to decide whether you want the first part (before -) to be converted to float or the second part (after the -).Jul 16, 2020 · Pythonは、コードの読みやすさが特徴的なプログラミング言語の1つです。 強い型付け、動的型付けに対応しており、後方互換性がないバージョン2系とバージョン3系が使用されています。 Solution 2: Using str.replace () Function. The “ str.replace () ” function is also used to fix the “ ValueError: could not convert string to float ” by replacing any symbols or characters with an empty string. In the below snippet, the “ str.repalce () ” function is used to replace the unwanted symbols and strings:ValueError: could not convert string to float: 'D' I have tried: train=train.astype(float) Replacing all 'D' with another value. train.convert_objects(convert_numeric=True) But the issue still persists. I also tried printing all the valueErrors in my csv file, but cannot find a reference to 'D'. This is my trace:float_line = float (line) UPDATE: Actually a better way is to first check if the input is a digit or not. In case it is not a digit float (line) would crash. So this is better -. float_line = None if line.isdigit (): float_line = float (line) else: print 'ERROR: Input needs to be a DIGIT or FLOAT.'.Sep 20, 2017 · 5. As you guessed, ValueError: could not convert string to float: '13.75%' indicates that the % character blocks the convertion. Now when you try to remove it: df ['int_rate'] = df ['int_rate'].replace ("%","", inplace=True) You set inplace=True in your replacement, which as the name suggests changes the dataframe in-place, so replace () method ...

ValueError: could not convert string to float: 'Null' # else, only a single dtype is given # _astype_nansafe works fine with 1-d only # TODO(extension) # Explicit copy, or required since NumPy can't view from / to object. . Form dtf 802

couldn%27t convert string to float python

A string is a suitable type to convert to a float. But several string values are not suitable to convert to float: A value that contains non-special terms, for example, ‘nan’ is a special term, “bread” is not. A value that contains a commas, speech marks and other non alphanumeric characters. A value that contains spaces.You input a value (or more) and it predicts another. A float is a number with decimals. For example, a 2 is an integer and a 2.53 is a float. What you can do is. a = '0.67687980' print (float (a)) Which returns. 0.67687980. However, you cannot do it with a string. a = 'Some string' print (float (a))If you're reading a CSV file with any data, I highly recommend to use Pandas.This would help you to use the data with Neural Networks as well. (Install Pandas)Below snippet will load the CSV into Pandas 2-dimensional data type called DataFrame.5,534 3 25 36. asked Jul 21, 2019 at 14:51. Sudhanshu Kumar Tiwari. 1 1. 1. Somehow you are trying to convert the string 'f' to a float.It is probably in the .csv file. You'll have to find it and figure out why. – wwii.Mar 5, 2021 · ValueError: could not convert string to float: '$257.26' - sklearn.tree.DecisionTreeClassifier - Python Hot Network Questions Galois action on automorphisms of a curve Dec 2, 2017 · 2. You're trying to convert the string "" into a float. "" doesn't make sense as a float, so you'll have to do one of the following. 1 Populate your fields with strings that make sense as floats. For example "0". 2 Set a default value. The following code sets wins as the float value of wins or 0.0 if not applicable. Python: Naive Bayes fit function gives TypeError: float() argument must be a string or a number 0 ValueError: bad input shape (1, 4) in sklearn.naive_bayes.GaussianNBI have this assignment where I use SVC() and best gridsearchCV() from scikit learn to fit a model. Bit I am getting can not convert string to float. All my X_train data seem to int64 and float64. But y_train data are "yes" and "no".ValueError: could not convert string to float. Now, i know it is a string but how can i convert it into a tuple type that can be read in the function, as the value contains commas and cannot be converted to float i think. the function takes in a tuple of three numbers separated by commas (RGB values) and returns the color Closet to it. MY CODE:valueerror: could not convert string to float. Python offers a method called float () that converts a string to a floating-point number. This method is useful if you need to perform a mathematical operation on a value. You cannot perform math on a string; you can perform math on a floating-point. The float () method only allows you to convert ...Jul 4, 2021 · I'm trying to load the two coluns of my csv files into an array in python. However I am getting: ValueError: could not convert string to float: ''. I have attached the snippets of the code implemented and the csv file I'm trying to store in an array. Now, if you enter a string, this is how the output would look: Enter a number (precision up to at least one decimal place)= Hello Please enter a number as per instruction! And, if we give a proper float input, the output would be: Enter a number (precision upto atleast one decimal place)= 16.663 After dividing by 10 we get= 1.6663000000000001.Add a comment. 1. First use this line to obtain the current dtypes: col_dtypes = dict ( [ (k, v.name) for k, v in dict (df.dtypes).items ()]) Like so: xls3 = pd.read_csv ('path/to/file') col_dtypes = dict ( [ (k, v.name) for k, v in dict (xls3.dtypes).items ()]) print (col_dtypes) Copy the value that is printed. It should be like this:Python: Naive Bayes fit function gives TypeError: float() argument must be a string or a number 0 ValueError: bad input shape (1, 4) in sklearn.naive_bayes.GaussianNBNov 26, 2018 · ValueError: could not convert string to float: 'New York'. I read the answers to similar questions and then opened scikit-learn documentations, but how you can see scikit-learn authors doesn't have issues with spaces in strings. I know that I can use LabelEncocder from sklearn.preprocessing and then use OHE and it works well, but in that case. .

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