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.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.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 ...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,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 ...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,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.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 ... 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 ('').ValueError: could not convert string to float: '"152.7"' Pandas: "ValueError: could not convert string to float: " (empty string) When creating a seaborn heatmap 'could not convert string to float' ValueError; Converting strings to floats: ValueError: could not convert string to float: '.' ValueError: could not convert string to float: '62,6'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 ...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 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() . 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 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.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.You should change the order, right now you try to convert everything into floats, even blank spaces. while True: user_number = input ('Enter a number: ') if not user_number.isdigit (): print (number / count) break count += 1 number = number + float (user_number) Additionally, you should do the print of the average value before the break.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?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.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 30, 2015 · 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 - 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))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 ...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: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 OutputMar 31, 2020 · 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. 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. Jun 9, 2015 · 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 ... Jan 3, 2023 · 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: 'X_train' ... not able to convert string to float in python and how to train the model with this dataset. 5.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.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.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. 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". 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() .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.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. 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 ...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". 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 valueerf1 = 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 ... 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=', ').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: May 14, 2013 · 6. float (line) does not convert in-place. It returns the float value. You need to assign it back to a float variable. 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 -. 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 ...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". 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.Jul 26, 2021 · 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. 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 ...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 SeabornYes, 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".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. float('fd') # Traceback (most recent call last): # File "example.py", line 11, in <module> # ValueError: could not convert string to float: 'fd' How to Solve ValueError: could not convert string to float. In order to solve it, you can use the try...except block.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: The Python ValueError: could not convert string to float occurs when you pass a string that can’t be converted into a float to the float() function. To resolve this error, you need to remove all elements that are non-compatible with float type like special characters and letters from the string.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: 'X_train' ... not able to convert string to float in python and how to train the model with this dataset. 5.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 ...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 ...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: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.1. I'm trying to build a simple program using tkinter and I want to assign the value that the user enters into an entry widget as a float variable, not a string. Here is my code: from tkinter import * root = Tk () x_entry = Entry (root) x_entry.pack () x_string=x_entry.get () def enter_click (event): x=float (x_string) print (x) enter_button ...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.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. 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. 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 ...The Python ValueError: could not convert string to float occurs when you pass a string that can’t be converted into a float to the float() function. To resolve this error, you need to remove all elements that are non-compatible with float type like special characters and letters from the string.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 hereOct 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 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 ('').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: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, 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.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:Python float () float (value) is a built-in function in Python that converts the argument value to a float number. For example, float ('42') converts the string value '42' into the float number 42.0. Argument. value. A Python object to be converted into a float number.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: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. You should change the order, right now you try to convert everything into floats, even blank spaces. while True: user_number = input ('Enter a number: ') if not user_number.isdigit (): print (number / count) break count += 1 number = number + float (user_number) Additionally, you should do the print of the average value before the break.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.
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.. Locomotive 4 8 4
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 9, 2015 · 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 ... 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 ...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: 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. 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 Maybe I should use other module to read CSV. I tried pandas right now, and it reads just fine as anyone would have expected, but OTOH I don't want to load huge package just to read CSV to array, and don't use it again...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.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. 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. 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: Apr 3, 2021 · Python float () float (value) is a built-in function in Python that converts the argument value to a float number. For example, float ('42') converts the string value '42' into the float number 42.0. Argument. value. A Python object to be converted into a float number. 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:float('fd') # Traceback (most recent call last): # File "example.py", line 11, in <module> # ValueError: could not convert string to float: 'fd' How to Solve ValueError: could not convert string to float. In order to solve it, you can use the try...except block.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: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..