2024 Couldn%27t convert string to float python

ValueError: could not convert string to float: '$257.26' - sklearn.tree.DecisionTreeClassifier - Python Hot Network Questions Galois action on automorphisms of a curve. Gfhoklzw

Dec 27, 2020 · 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, 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. To solve the error, remove all unnecessary characters from the string before calling float() . 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.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. 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.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:ValueError: could not convert string to float: '$400.42' ... How to Fix in Python: ‘numpy.ndarray’ object is not callable How to Fix: TypeError: ‘numpy.float64 ...1. Usually files has empty line at the end so probably you're trying to cast empty string to float. Instead of file_in.read ().split (' ') you could use: for line in file_in.readlines (): x.append (float (line)) Method readlines returns list of all lines from given file and skips last empty line if present. Share.1. Usually files has empty line at the end so probably you're trying to cast empty string to float. Instead of file_in.read ().split (' ') you could use: for line in file_in.readlines (): x.append (float (line)) Method readlines returns list of all lines from given file and skips last empty line if present. Share.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 -).And I want to plot histogram using seaborn and column number_col. > import seaborn as sns > > sns.distplot (df, x='number_col') But I got this following error: ValueError: could not convert string to float: 'number_col'. I have no idea why this is happening, 'number_col' is already a float column. python.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: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 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.Hi @adityashrm21,. In that case I assume that you are able to run your random forest. So I don’t know how to do this by using function, but it can be done by following steps -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 videosApr 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 ... 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 ...ValueError: could not convert string to float: '$400.42' ... How to Fix in Python: ‘numpy.ndarray’ object is not callable How to Fix: TypeError: ‘numpy.float64 ...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.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.GaussianNBMay 16, 2019 · 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 ... float() is an inbuilt method in Python which returns a floating-point number from another numeric data-type( for example – int) or a string. However, you can only use the float() method on a string value that represents or looks like a floating-point value ( i.e. string values that represent numbers). This means that you cannot convert a ...You should be able to convert strings that look like floats to floats by just using float (mystr). some special things are allowed (e.g. inf, 5e3 , ...) Most probably (if you didn't cut anything off your error message), you forgot to fill out one field and are thus trying to perform float ('').Aug 3, 2021 · 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)) 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))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 ... 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. 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.'.Aug 23, 2023 · 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 videos 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.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. 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: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.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: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.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 ...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:Apr 26, 2017 · ValueError: could not convert string to float: id I'm confused by this. When I try this for only one line in interactive section, instead of for loop using script: Sep 1, 2012 · This code works fine in python 2, but the input function was changed between python 2 and python 3 in compliance with PEP 3111:. What was raw_input in python 2 is now called just input in python 3. 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. ValueError: could not convert string to float: id I'm confused by this. When I try this for only one line in interactive section, instead of for loop using script: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: 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 Seabornwith 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 ...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.ValueError: could not convert string to float: 'Yes, policy' while fitting to my Logistic Regression Model 0 What is causing this ValueError: could not convert string to float: '' while using logisticRegr.fit(x_train, y_train)I 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 ...Here's the code. from numpy import asarray from sklearn.preprocessing import MinMaxScaler scaler = MinMaxScaler (feature_range= (0,1)) rescaledX = scaler.fit_transform (X) and it always resulted in. ValueError: could not convert string to float: 'female'.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 ...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 OutputThe 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. To solve the error, remove all unnecessary characters from the string before calling float() .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: 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 ...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. ValueError: could not convert string to float: '$257.26' - sklearn.tree.DecisionTreeClassifier - Python Hot Network Questions Galois action on automorphisms of a curve– 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%”. Jun 10, 2018 · ValueError: could not convert string to float: 'Yes, policy' while fitting to my Logistic Regression Model 0 What is causing this ValueError: could not convert string to float: '' while using logisticRegr.fit(x_train, y_train) 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 SeabornYou can simply do this by. s = '542.22' f = float (s) # This converts string data to float data with a decimal point print (f) i = int (f) # This converts string data to integer data by just taking the whole number part of it print (i) For more information on parsing of data types check on python documentation! Share.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. If you are in a hurry, below quick examples will help you in understanding the different ways to convert a string to a float in Python. We will discuss them in detail with other important tips. # Quick Examples # Method 1: Convert string to float using float () string_to_float = float("123.45") # Method 2: Convert string to float using the ...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.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 @adityashrm21,. In that case I assume that you are able to run your random forest. So I don’t know how to do this by using function, but it can be done by following steps -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=', ').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. 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:Fix 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 ...Python supports type conversion in which Python provides us different inbuilt methods such as float(), str(), bool(), int(), etc. to convert a data type of an object. . There are some rules associated with Python data type conversion, and if we make some mistake with them, we get the valueerPython supports type conversion in which Python provides us different inbuilt methods such as float(), str(), bool(), int(), etc. to convert a data type of an object. . There are some rules associated with Python data type conversion, and if we make some mistake with them, we get the valueer1. Usually files has empty line at the end so probably you're trying to cast empty string to float. Instead of file_in.read ().split (' ') you could use: for line in file_in.readlines (): x.append (float (line)) Method readlines returns list of all lines from given file and skips last empty line if present. Share.However you can convert the numeric string to float by typecasting it. For example: >>> number_string = '123.5' >>> float (number_string) 123.5. Now coming to your second part, for calculating the sum of number. Let say your are having the string of multiple numbers. Firstly .split () the list, type-cast each item to float and then calculate ...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 ...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: '$400.42' ... How to Fix in Python: ‘numpy.ndarray’ object is not callable How to Fix: TypeError: ‘numpy.float64 ...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. 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. 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 OutputYes, this is exactly the error message that I have got: ValueError: could not convert string to float: XXX. But I didn't see any space in cells "XXX", "YYY", and "ZZZ" in excel as I manually entered them. I double checked by using "find and replace" to remove extra space between words, but see the message "we couldn't find anything to replace".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 ... 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 ...May 8, 2022 · If you want to improve your model it is even recommended to normalize your model between -1;1 in general and therefore to use decimal numbers, hence the expectation of a float. In your case, your dataframe seems to contain exclusively string entries. As Dilara Gokay said, you first need to transform your strings into floats and to do so, use ...

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 . Wetzel

couldn%27t convert string to float python

Though not the best solution, I found some success by converting it into pandas dataframe and working along. 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 ...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 ...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.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.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 ...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:Dec 19, 2008 · You can simply do this by. s = '542.22' f = float (s) # This converts string data to float data with a decimal point print (f) i = int (f) # This converts string data to integer data by just taking the whole number part of it print (i) For more information on parsing of data types check on python documentation! Share. If you are in a hurry, below quick examples will help you in understanding the different ways to convert a string to a float in Python. We will discuss them in detail with other important tips. # Quick Examples # Method 1: Convert string to float using float () string_to_float = float("123.45") # Method 2: Convert string to float using the ...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: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 ... Though not the best solution, I found some success by converting it into pandas dataframe and working along. 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 ... 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 ...You should be able to convert strings that look like floats to floats by just using float (mystr). some special things are allowed (e.g. inf, 5e3 , ...) Most probably (if you didn't cut anything off your error message), you forgot to fill out one field and are thus trying to perform float ('').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. Oct 26, 2019 · Yes, this is exactly the error message that I have got: ValueError: could not convert string to float: XXX. But I didn't see any space in cells "XXX", "YYY", and "ZZZ" in excel as I manually entered them. I double checked by using "find and replace" to remove extra space between words, but see the message "we couldn't find anything to replace". Fix 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 ...Aug 22, 2020 · 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 ... Sep 1, 2012 · This code works fine in python 2, but the input function was changed between python 2 and python 3 in compliance with PEP 3111:. What was raw_input in python 2 is now called just input in python 3. Dec 19, 2008 · You can simply do this by. s = '542.22' f = float (s) # This converts string data to float data with a decimal point print (f) i = int (f) # This converts string data to integer data by just taking the whole number part of it print (i) For more information on parsing of data types check on python documentation! Share. Nov 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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