Couldn%27t convert string to float python - 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.

 
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.. Lay

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. 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 ...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 -. 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 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 ... 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 ...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 ... 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 ... 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. 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.We can use data types like int, float, string, list, set… in our applications. When using different types of variables, it may be necessary to convert these to different types. Just like the str () function, Python also offers a handy built-in function that takes an object of type String as an argument and returns the corresponding Float object.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. 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.Jul 26, 2023 · Here, we first created an empty string in Python and then had to loop over the string with commas, apply the conditional statement to remove the commas, and then convert the resultant string into a float in Python. The output is: 2999.99 <class 'float'>. This way, we can use the Naive method to convert string with comma to float in Python. Aug 28, 2023 · 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 ... Jan 3, 2018 · The problem is that your string is not just '1151226468812.22', but it is '"1151226468812.22"'. It also contains speech marks ( " ). This means that before you convert this to a float, you need to remove the leading and trailing speech marks. Luckily, Python has a very handy string method .strip () to do this for you. May 26, 2014 · 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 ... 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?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 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 valueerMay 26, 2014 · 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 ... 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 ... 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.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.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)) Mar 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. 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.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. 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 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 ... 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.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.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.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.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.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 ...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. May 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 ... 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)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.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 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. 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 ...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. 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.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. 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.GaussianNBTo convert string to float we can use the function: .astype(float). If we try to do so for the column - amount: df['amount'].astype(float) we will face error: ValueError: could not convert string to float: '$10.00' Step 2: ValueError: Unable to parse string "$10.00" at position 0. We will see similar result if we try to convert the column to ...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: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)) 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.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 ...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. To convert string to float in Python, you can use the “float()” function. Pass the string you want to convert as an argument to the float() function, and it will return the float value. Syntaxfloat() 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 ...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() .Mar 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. 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 ...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. 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.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 ...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 ...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". Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about TeamsMay 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 ... Jun 27, 2021 · We can use data types like int, float, string, list, set… in our applications. When using different types of variables, it may be necessary to convert these to different types. Just like the str () function, Python also offers a handy built-in function that takes an object of type String as an argument and returns the corresponding Float object. 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 ... 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))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'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 ('').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. Mar 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. 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.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.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 problem is related to the fact that the string '0' is not the same as the numeric 0. The empty string '' can not be converted into a float. I suggest you look into the fillna() function for pandas as a quick way to convert all of the empty strings to nulls, and perhaps also use the pandas .map() function to convert the '0' strings to floats.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. 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:

– 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%”.. Alexa tomas

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. 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 ... 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.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 -. To convert string to float in Python, you can use the “float()” function. Pass the string you want to convert as an argument to the float() function, and it will return the float value. SyntaxYes, 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".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 ... 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. 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: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 -. 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. 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: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. 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.The value stored are received as string from the JSON. I am trying to: 1) Remove all characters in the entry (ex: CA$ or %) 2) convert rate and revenue columns to float 3) Convert count columns as int. I tried to do the following: df [column] = (df [column].str.split ()).apply (lambda x: float (x [0])).

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