I’m running the following python script:
#!/usr/bin/python
import os,sys
from scipy import stats
import numpy as np
f=open('data2.txt', 'r').readlines()
N=len(f)-1
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
result=stats.ttest_ind(list1,list2)
print result[1]
However I got the errors like:
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:
>>> from scipy import stats
>>> import numpy as np
>>> f=open('data2.txt','r').readlines()
>>> w=f[1].split()
>>> l1=w[1:8]
>>> l2=w[8:15]
>>> list1=[float(x) for x in l1]
>>> list1
[5.3209183842, 4.6422726719, 4.3788135547, 5.9299061614, 5.9331108706, 5.0287087832, 4.57...]
It works well.
Can anyone explain a little bit about this?
Thank you.
asked Dec 7, 2011 at 17:57
LookIntoEastLookIntoEast
7,59018 gold badges60 silver badges89 bronze badges
1
Obviously some of your lines don’t have valid float data, specifically some line have text id
which can’t be converted to float.
When you try it in interactive prompt you are trying only first line, so best way is to print the line where you are getting this error and you will know the wrong line e.g.
#!/usr/bin/python
import os,sys
from scipy import stats
import numpy as np
f=open('data2.txt', 'r').readlines()
N=len(f)-1
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
try:
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
except ValueError,e:
print "error",e,"on line",i
result=stats.ttest_ind(list1,list2)
print result[1]
answered Dec 7, 2011 at 18:00
Anurag UniyalAnurag Uniyal
84.7k39 gold badges173 silver badges218 bronze badges
0
My error was very simple: the text file containing the data had some space (so not visible) character on the last line.
As an output of grep, I had 45
instead of just 45
.
answered Nov 13, 2015 at 21:01
2
This error is pretty verbose:
ValueError: could not convert string to float: id
Somewhere in your text file, a line has the word id
in it, which can’t really be converted to a number.
Your test code works because the word id
isn’t present in line 2
.
If you want to catch that line, try this code. I cleaned your code up a tad:
#!/usr/bin/python
import os, sys
from scipy import stats
import numpy as np
for index, line in enumerate(open('data2.txt', 'r').readlines()):
w = line.split(' ')
l1 = w[1:8]
l2 = w[8:15]
try:
list1 = map(float, l1)
list2 = map(float, l2)
except ValueError:
print 'Line {i} is corrupt!'.format(i = index)'
break
result = stats.ttest_ind(list1, list2)
print result[1]
answered Dec 7, 2011 at 17:59
For a Pandas dataframe with a column of numbers with commas, use this:
df["Numbers"] = [float(str(i).replace(",", "")) for i in df["Numbers"]]
So values like 4,200.42
would be converted to 4200.42
as a float.
Bonus 1: This is fast.
Bonus 2: More space efficient if saving that dataframe in something like Apache Parquet format.
answered Mar 12, 2021 at 11:49
ContangoContango
74.7k57 gold badges252 silver badges300 bronze badges
Perhaps your numbers aren’t actually numbers, but letters masquerading as numbers?
In my case, the font I was using meant that «l» and «1» looked very similar. I had a string like ‘l1919’ which I thought was ‘11919’ and that messed things up.
answered Mar 2, 2018 at 6:53
Tom RothTom Roth
1,85417 silver badges25 bronze badges
Your data may not be what you expect — it seems you’re expecting, but not getting, floats.
A simple solution to figuring out where this occurs would be to add a try/except to the for-loop:
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
try:
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
except ValueError, e:
# report the error in some way that is helpful -- maybe print out i
result=stats.ttest_ind(list1,list2)
print result[1]
answered Dec 7, 2011 at 18:02
Matt FenwickMatt Fenwick
47.7k21 gold badges126 silver badges191 bronze badges
Shortest way:
df["id"] = df['id'].str.replace(',', '').astype(float)
— if ‘,’ is the problem
df["id"] = df['id'].str.replace(' ', '').astype(float)
— if blank space is the problem
answered Apr 26, 2021 at 13:46
Update empty string values with 0.0 values:
if you know the possible non-float values then update it.
df.loc[df['score'] == '', 'score'] = 0.0
df['score']=df['score'].astype(float)
answered Nov 24, 2021 at 7:42
I solved the similar situation with basic technique using pandas. First load the csv or text file using pandas.It’s pretty simple
data=pd.read_excel('link to the file')
Then set the index of data to the respected column that needs to be changed. For example, if your data has ID as one attribute or column, then set index to ID.
data = data.set_index("ID")
Then delete all the rows with «id» as the value instead of number using following command.
data = data.drop("id", axis=0).
Hope, this will help you.
answered Oct 3, 2019 at 14:44
I’m running the following python script:
#!/usr/bin/python
import os,sys
from scipy import stats
import numpy as np
f=open('data2.txt', 'r').readlines()
N=len(f)-1
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
result=stats.ttest_ind(list1,list2)
print result[1]
However I got the errors like:
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:
>>> from scipy import stats
>>> import numpy as np
>>> f=open('data2.txt','r').readlines()
>>> w=f[1].split()
>>> l1=w[1:8]
>>> l2=w[8:15]
>>> list1=[float(x) for x in l1]
>>> list1
[5.3209183842, 4.6422726719, 4.3788135547, 5.9299061614, 5.9331108706, 5.0287087832, 4.57...]
It works well.
Can anyone explain a little bit about this?
Thank you.
asked Dec 7, 2011 at 17:57
LookIntoEastLookIntoEast
7,59018 gold badges60 silver badges89 bronze badges
1
Obviously some of your lines don’t have valid float data, specifically some line have text id
which can’t be converted to float.
When you try it in interactive prompt you are trying only first line, so best way is to print the line where you are getting this error and you will know the wrong line e.g.
#!/usr/bin/python
import os,sys
from scipy import stats
import numpy as np
f=open('data2.txt', 'r').readlines()
N=len(f)-1
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
try:
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
except ValueError,e:
print "error",e,"on line",i
result=stats.ttest_ind(list1,list2)
print result[1]
answered Dec 7, 2011 at 18:00
Anurag UniyalAnurag Uniyal
84.7k39 gold badges173 silver badges218 bronze badges
0
My error was very simple: the text file containing the data had some space (so not visible) character on the last line.
As an output of grep, I had 45
instead of just 45
.
answered Nov 13, 2015 at 21:01
2
This error is pretty verbose:
ValueError: could not convert string to float: id
Somewhere in your text file, a line has the word id
in it, which can’t really be converted to a number.
Your test code works because the word id
isn’t present in line 2
.
If you want to catch that line, try this code. I cleaned your code up a tad:
#!/usr/bin/python
import os, sys
from scipy import stats
import numpy as np
for index, line in enumerate(open('data2.txt', 'r').readlines()):
w = line.split(' ')
l1 = w[1:8]
l2 = w[8:15]
try:
list1 = map(float, l1)
list2 = map(float, l2)
except ValueError:
print 'Line {i} is corrupt!'.format(i = index)'
break
result = stats.ttest_ind(list1, list2)
print result[1]
answered Dec 7, 2011 at 17:59
For a Pandas dataframe with a column of numbers with commas, use this:
df["Numbers"] = [float(str(i).replace(",", "")) for i in df["Numbers"]]
So values like 4,200.42
would be converted to 4200.42
as a float.
Bonus 1: This is fast.
Bonus 2: More space efficient if saving that dataframe in something like Apache Parquet format.
answered Mar 12, 2021 at 11:49
ContangoContango
74.7k57 gold badges252 silver badges300 bronze badges
Perhaps your numbers aren’t actually numbers, but letters masquerading as numbers?
In my case, the font I was using meant that «l» and «1» looked very similar. I had a string like ‘l1919’ which I thought was ‘11919’ and that messed things up.
answered Mar 2, 2018 at 6:53
Tom RothTom Roth
1,85417 silver badges25 bronze badges
Your data may not be what you expect — it seems you’re expecting, but not getting, floats.
A simple solution to figuring out where this occurs would be to add a try/except to the for-loop:
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
try:
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
except ValueError, e:
# report the error in some way that is helpful -- maybe print out i
result=stats.ttest_ind(list1,list2)
print result[1]
answered Dec 7, 2011 at 18:02
Matt FenwickMatt Fenwick
47.7k21 gold badges126 silver badges191 bronze badges
Shortest way:
df["id"] = df['id'].str.replace(',', '').astype(float)
— if ‘,’ is the problem
df["id"] = df['id'].str.replace(' ', '').astype(float)
— if blank space is the problem
answered Apr 26, 2021 at 13:46
Update empty string values with 0.0 values:
if you know the possible non-float values then update it.
df.loc[df['score'] == '', 'score'] = 0.0
df['score']=df['score'].astype(float)
answered Nov 24, 2021 at 7:42
I solved the similar situation with basic technique using pandas. First load the csv or text file using pandas.It’s pretty simple
data=pd.read_excel('link to the file')
Then set the index of data to the respected column that needs to be changed. For example, if your data has ID as one attribute or column, then set index to ID.
data = data.set_index("ID")
Then delete all the rows with «id» as the value instead of number using following command.
data = data.drop("id", axis=0).
Hope, this will help you.
answered Oct 3, 2019 at 14:44
I’m running the following python script:
#!/usr/bin/python
import os,sys
from scipy import stats
import numpy as np
f=open('data2.txt', 'r').readlines()
N=len(f)-1
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
result=stats.ttest_ind(list1,list2)
print result[1]
However I got the errors like:
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:
>>> from scipy import stats
>>> import numpy as np
>>> f=open('data2.txt','r').readlines()
>>> w=f[1].split()
>>> l1=w[1:8]
>>> l2=w[8:15]
>>> list1=[float(x) for x in l1]
>>> list1
[5.3209183842, 4.6422726719, 4.3788135547, 5.9299061614, 5.9331108706, 5.0287087832, 4.57...]
It works well.
Can anyone explain a little bit about this?
Thank you.
asked Dec 7, 2011 at 17:57
LookIntoEastLookIntoEast
7,59018 gold badges60 silver badges89 bronze badges
1
Obviously some of your lines don’t have valid float data, specifically some line have text id
which can’t be converted to float.
When you try it in interactive prompt you are trying only first line, so best way is to print the line where you are getting this error and you will know the wrong line e.g.
#!/usr/bin/python
import os,sys
from scipy import stats
import numpy as np
f=open('data2.txt', 'r').readlines()
N=len(f)-1
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
try:
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
except ValueError,e:
print "error",e,"on line",i
result=stats.ttest_ind(list1,list2)
print result[1]
answered Dec 7, 2011 at 18:00
Anurag UniyalAnurag Uniyal
84.7k39 gold badges173 silver badges218 bronze badges
0
My error was very simple: the text file containing the data had some space (so not visible) character on the last line.
As an output of grep, I had 45
instead of just 45
.
answered Nov 13, 2015 at 21:01
2
This error is pretty verbose:
ValueError: could not convert string to float: id
Somewhere in your text file, a line has the word id
in it, which can’t really be converted to a number.
Your test code works because the word id
isn’t present in line 2
.
If you want to catch that line, try this code. I cleaned your code up a tad:
#!/usr/bin/python
import os, sys
from scipy import stats
import numpy as np
for index, line in enumerate(open('data2.txt', 'r').readlines()):
w = line.split(' ')
l1 = w[1:8]
l2 = w[8:15]
try:
list1 = map(float, l1)
list2 = map(float, l2)
except ValueError:
print 'Line {i} is corrupt!'.format(i = index)'
break
result = stats.ttest_ind(list1, list2)
print result[1]
answered Dec 7, 2011 at 17:59
For a Pandas dataframe with a column of numbers with commas, use this:
df["Numbers"] = [float(str(i).replace(",", "")) for i in df["Numbers"]]
So values like 4,200.42
would be converted to 4200.42
as a float.
Bonus 1: This is fast.
Bonus 2: More space efficient if saving that dataframe in something like Apache Parquet format.
answered Mar 12, 2021 at 11:49
ContangoContango
74.7k57 gold badges252 silver badges300 bronze badges
Perhaps your numbers aren’t actually numbers, but letters masquerading as numbers?
In my case, the font I was using meant that «l» and «1» looked very similar. I had a string like ‘l1919’ which I thought was ‘11919’ and that messed things up.
answered Mar 2, 2018 at 6:53
Tom RothTom Roth
1,85417 silver badges25 bronze badges
Your data may not be what you expect — it seems you’re expecting, but not getting, floats.
A simple solution to figuring out where this occurs would be to add a try/except to the for-loop:
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
try:
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
except ValueError, e:
# report the error in some way that is helpful -- maybe print out i
result=stats.ttest_ind(list1,list2)
print result[1]
answered Dec 7, 2011 at 18:02
Matt FenwickMatt Fenwick
47.7k21 gold badges126 silver badges191 bronze badges
Shortest way:
df["id"] = df['id'].str.replace(',', '').astype(float)
— if ‘,’ is the problem
df["id"] = df['id'].str.replace(' ', '').astype(float)
— if blank space is the problem
answered Apr 26, 2021 at 13:46
Update empty string values with 0.0 values:
if you know the possible non-float values then update it.
df.loc[df['score'] == '', 'score'] = 0.0
df['score']=df['score'].astype(float)
answered Nov 24, 2021 at 7:42
I solved the similar situation with basic technique using pandas. First load the csv or text file using pandas.It’s pretty simple
data=pd.read_excel('link to the file')
Then set the index of data to the respected column that needs to be changed. For example, if your data has ID as one attribute or column, then set index to ID.
data = data.set_index("ID")
Then delete all the rows with «id» as the value instead of number using following command.
data = data.drop("id", axis=0).
Hope, this will help you.
answered Oct 3, 2019 at 14:44
In Python, we can only convert specific string values to float. If we try to convert an invalid string to a float, we will raise the ValueError: could not convert string to float.
To solve this error, ensure you strip the string of invalid characters like commas, spaces or brackets before passing it to the float() function.
This tutorial will go through how to solve the error with the help of code examples.
Table of contents
- ValueError: could not convert string to float
- Example
- Solution
- Example #2
- Solution
- Summary
ValueError: could not convert string to float
In Python, a value is information stored within a particular object. You will encounter a ValueError in Python when you use a built-in operation or function that receives an argument with the right type but an inappropriate value.
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.
We can convert inf and nan to floats because they represent specific floats in Python, namely infinity and NaN (Not a Number).
Example
Consider the following CSV file called money.csv that contains the epoch timestamp and money in two accounts.
"'1645916759'",20000,18000 "'1645916790'",21000,17000 "'1645916816'",20500,17250
Next, we will write a program that will read the information from the CSV file and print it to the console. We will import the csv library to read the CSV file. Let’s look at the code:
from datetime import datetime with open("money.csv", "r") as money: readf = csv.reader(money) for line in readf: time = float(line[0]) account_one = float(line[1]) account_two = float(line[2]) print(f'At date: {datetime.fromtimestamp(time)}, Account one value £{account_one}, Account two value £{account_two}')
We use the datetime library to convert the epoch timestamp to a date. Let’s run the code to see the result:
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) 2 readf = csv.reader(money) 3 for line in readf: ----≻ 4 time = float(line[0]) 5 account_one = float(line[1]) 6 account_two = float(line[2]) ValueError: could not convert string to float: "'1645916759'"
The error occurs because the epoch timestamp contains inverted commas, which are invalid string values to convert to a float.
Solution
We need to strip the epoch timestamp of the inverted commas using the String strip() method to solve this error. Let’s look at the revised code:
from datetime import datetime with open("money.csv", "r") as money: readf = csv.reader(money) for line in readf: time = float(line[0].strip("'")) account_one = float(line[1]) account_two = float(line[2]) print(f'At date: {datetime.fromtimestamp(time)}, Account one value £{account_one}, Account two value £{account_two}')
Let’s run the code to see the result:
At date: 2022-02-26 23:05:59, Account one value £20000.0, Account two value £18000.0 At date: 2022-02-26 23:06:30, Account one value £21000.0, Account two value £17000.0 At date: 2022-02-26 23:06:56, Account one value £20500.0, Account two value £17250.0
The code successfully prints each line in the money.csv file.
Example #2
Let’s look at an example, where we write a program that converts a weight from kilograms to pounds. First, we will ask a user to insert the weight in kilograms that they want to convert to pounds:
weight = float(input("Enter the weight to convert to pounds: "))
Next, we will define the conversion value to convert kilograms to pounds:
convert_to_lbs = 2.205
Then, we will attempt to convert the kilogram value to pounds and print the result to the console.
weight_in_lbs = weight * convert_to_lbs print(f'{weight}kg is {weight_in_lbs}lbs')
Let’s run the code to see what happens:
Enter the weight to convert to pounds: 87,50 --------------------------------------------------------------------------- ValueError Traceback (most recent call last) ----≻ 1 weight = float(input("Enter the weight to convert to pounds: ")) ValueError: could not convert string to float: '87,50'
We raise the ValueError because the string we input contains a comma.
Solution
To solve the error we can use a try-except block. The program will try to run the code in the “try” block, if unsuccessful, the program will run the code in the “except” block. Let’s look at the revised code:
convert_to_lbs = 2.205 try: weight = float(input("Enter the weight to convert to pounds: ")) weight_in_lbs = weight * convert_to_lbs print(f'{weight}kg is {round(weight_in_lbs,1)}lbs') except: print('Please insert a valid weight. The weight cannot contain commas, spaces or special characters')
Let’s try the code and input an invalid string:
Enter the weight to convert to pounds: 87,50 Please insert a valid weight. The weight cannot contain commas, spaces or special characters
We see that the program executes the print statement in the except block. Let’s run the code and input a valid string:
Enter the weight to convert to pounds: 87.50 87.5kg is 192.9lbs
The code successfully executes the code in the try block and prints the kilogram and the converted pound value to the console.
Summary
Congratulations on reading to the end of this tutorial! The error ValueError: could not convert string to float occurs if you try to convert a string to a float that contains invalid characters. To solve this error, check the string for characters that you can remove and use the strip() method to get rid of them. If a value has a comma instead of a decimal point, you can use replace() to replace the comma.
You can also use a try-except statement to catch the ValueError and pass. This method is useful if you are taking input from a user.
For further reading on ValueErrors, go to the articles:
- How to Solve Python ValueError: list.remove(x) x not in list
- How to Solve Python ValueError: year is out of range
For further reading on converting values, go to the article: How to Solve Python TypeError: int() argument must be a string, a bytes-like object or a number, not ‘list’
To learn more about Python for data science and machine learning, go to the online courses page on Python for the most comprehensive courses available.
Have fun and happy researching!
Pandas
17 авг. 2022 г.
читать 1 мин
Одна распространенная ошибка, с которой вы можете столкнуться при использовании pandas:
ValueError : could not convert string to float: '$400.42'
Эта ошибка обычно возникает, когда вы пытаетесь преобразовать строку в число с плавающей запятой в pandas, но строка содержит одно или несколько из следующих:
- Пространства
- Запятые
- Специальные символы
Когда это происходит, вы должны сначала удалить эти символы из строки, прежде чем преобразовывать ее в число с плавающей запятой.
В следующем примере показано, как устранить эту ошибку на практике.
Как воспроизвести ошибку
Предположим, у нас есть следующие Pandas DataFrame:
import pandas as pd
#create DataFrame
df = pd.DataFrame({'store': ['A', 'B', 'C', 'D'],
'revenue': ['$400.42', '$100.18', '$243.75', '$194.22']})
#view DataFrame
print(df)
# store revenue
#0 A $400.42
#1 B $100.18
#2 C $243.75
#3 D $194.22
#view data type of each column
print(df.dtypes )
#store object
#revenue object
#dtype: object**
Теперь предположим, что мы пытаемся преобразовать столбец revenue из строки в число с плавающей запятой:
#attempt to convert 'revenue' from string to float
df['revenue'] = df['revenue'].astype (float)
ValueError : could not convert string to float: '$400.42'
Мы получаем ошибку, так как столбец revenue содержит в строках знак доллара.
Как исправить ошибку
Способ устранения этой ошибки заключается в использовании функции replace() для замены знаков доллара в столбце revenue ничем перед выполнением преобразования:
#convert revenue column to float
df['revenue'] = df['revenue'].apply(lambda x: float(x.split()[0].replace('$','')))
#view updated DataFrame
print(df)
# store revenue
#0 A 400.42
#1 B 100.18
#2 C 243.75
#3 D 194.22
#view data type of each column
print(df.dtypes )
#store object
#revenue float64
#dtype: object
Обратите внимание, что мы можем преобразовать столбец дохода из строки в число с плавающей запятой, и мы не получаем никаких ошибок, поскольку перед выполнением преобразования мы удалили знаки доллара.
Дополнительные ресурсы
В следующих руководствах объясняется, как исправить другие распространенные ошибки в Python:
Как исправить в Python: объект ‘numpy.ndarray’ не вызывается
Как исправить: TypeError: объект ‘numpy.float64’ не вызывается
Как исправить: ошибка типа: ожидаемая строка или байтовый объект
One common error you may encounter when using pandas is:
ValueError: could not convert string to float: '$400.42'
This error usually occurs when you attempt to convert a string to a float in pandas, yet the string contains one or more of the following:
- Spaces
- Commas
- Special characters
When this occurs, you must first remove these characters from the string before converting it to a float.
The following example shows how to resolve this error in practice.
How to Reproduce the Error
Suppose we have the following pandas DataFrame:
import pandas as pd #create DataFrame df = pd.DataFrame({'store': ['A', 'B', 'C', 'D'], 'revenue': ['$400.42', '$100.18', '$243.75', '$194.22']}) #view DataFrame print(df) store revenue 0 A $400.42 1 B $100.18 2 C $243.75 3 D $194.22 #view data type of each column print(df.dtypes) store object revenue object dtype: object
Now suppose we attempt to convert the revenue column from a string to a float:
#attempt to convert 'revenue' from string to float
df['revenue'] = df['revenue'].astype(float)
ValueError: could not convert string to float: '$400.42'
We receive an error since the revenue column contains a dollar sign in the strings.
How to Fix the Error
The way to resolve this error is to use the replace() function to replace the dollar signs in the revenue column with nothing before performing the conversion:
#convert revenue column to float
df['revenue'] = df['revenue'].apply(lambda x: float(x.split()[0].replace('$', '')))
#view updated DataFrame
print(df)
store revenue
0 A 400.42
1 B 100.18
2 C 243.75
3 D 194.22
#view data type of each column
print(df.dtypes)
store object
revenue float64
dtype: object
Notice that we’re able to convert the revenue column from a string to a float and we don’t receive any error since we removed the dollar signs before performing the conversion.
Additional Resources
The following tutorials explain how to fix other common errors in Python:
How to Fix in Python: ‘numpy.ndarray’ object is not callable
How to Fix: TypeError: ‘numpy.float64’ object is not callable
How to Fix: Typeerror: expected string or bytes-like object
The ValueError: could not convert string to float error occurs when you try to convert a string that does not contain a float number to a float. If the python string is not formatted as a floating point number, you could not convert string to float. The python ValueError: could not convert string to float will be thrown. The error is caused by a parsing error in the float() function with a string argument that cannot be parsed as a float number.
The float() function is used to convert a string with a float value to a float value. The float function parses the string and converts it as a float number. If an error occurs while converting a string to a float number, the python interpreter will throws this value error.
The string is supposed to have a valid float number. If the string is empty or does not contain a valid float number, the python interpreter can not convert it to a float number while parsing the string. In this case, the error “ValueError: could not convert string to float:” is thrown by the python interpreter.
Exception
The error “ValueError: could not convert string to float:” will be shown as below the stack trace.
Traceback (most recent call last):
File "/Users/python/Desktop/test.py", line 1, in <module>
print float('')
ValueError: could not convert string to float:
[Finished in 0.0s with exit code 1]
Root Cause
The function float() is used to convert a string to a float number. The string is supposed to have a valid float number. If the string is either empty or does not have a valid float number, the python interpreter will throw an error while parsing the string. If the valid float value is passed to the string, this issue will be resolved.
Valid arguments in float() function
The following are the valid arguments for float() function. If you use one of the following, the error will not be thrown.
float() function with no argument – The default float() function which has no argument passed returns default value 0.0.
print float() # returns 0.0
float() function with an integer value – If an integer value is passed as an argument in float() function, returns the float value.
print float(5) # returns 5.0
float() functions with a string containing an integer value – If a string having an integer value is passed as an argument in float() function, returns the float value.
print float('5') # returns 5.0
float() function with a float value – If a float value is passed as an argument in float() function, returns the float value.
print int(5.4) # returns 5.4
float() functions with a string containing an float value – If a string having an float value is passed as an argument in float() function, returns the float value.
print float('5.4') # returns 5.4
float() function with a boolean value – If a boolean value is passed as an argument in float() function, returns the float value for the boolean value.
print float(True) # returns 1.0
Invalid arguments in float() function
float() function with an empty string – The empty string can not be parsed as an float value
print float('') # throws ValueError: could not convert string to float:
float() function with a non-float string – If a string contains a non-float values such as characters and passed as an argument, the float() function will throw value error.
print float('q') # throws ValueError: could not convert string to float: q
Solution 1
The string value should be checked whether it is a number or not using buid-in isnumeric() function. If a string contains a number, it is passed as an argument in the float() function. Otherwise, the user will be shown an error message.
Program
x='a'
print float(x)
Output
Traceback (most recent call last):
File "/Users/python/Desktop/test.py", line 2, in <module>
print float(x)
ValueError: could not convert string to float: a
[Finished in 0.0s with exit code 1]
Solution
x= u'a'
if x.isnumeric():
print "float value is " , float(x)
else :
print "Not a number"
Output
Not a number
[Finished in 0.1s]
Solution 2
If a string occasionally contains a non-numeric number, the build-in function isnumeric() is not a good option. In this case, try catch method will solve this issue. If the string contains an float number, it will be executed in the try block. Otherwise, an error message will be shown to the user in the error block.
Program
x='a'
print float(x)
Output
Traceback (most recent call last):
File "/Users/python/Desktop/test.py", line 2, in <module>
print float(x)
ValueError: could not convert string to float: a
[Finished in 0.0s with exit code 1]
Solution
x= u'a'
try:
print ("float value is " , float(x))
except:
print "Not a number"
Output
Not a number
[Finished in 0.1s]
In this Python tutorial, we will discuss how to fix an error, “Could not convert string to float Python“.
In python, to convert string to float in python we can use float() method. It can only convert the valid numerical value to a floating point value otherwise it will throw an error.
Example:
my_string = '1,400'
convert = float(my_string)
print(convert)
After writing the above code (could not convert string to float python), Ones you will print ” convert ” then the output will appear as a “ ValueError: could not convert string to float: ‘1,400’ ”.
Here, we get the error because the value is not valid and we used a comma. You can refer to the below screenshot could not convert string to float python.
To solve this ValueError: could not convert string to float we need to give the valid numerical value to convert my string to float by using float() method.
Example:
my_string = '23.8'
convert = float(my_string)
print(convert)
After writing the above code (could not convert string to float python), Ones you will print ” convert ” then the output will appear as a “ 23.8 ”. Here, the float() method converts the string to float. You can refer to the below screenshot could not convert string to float python.
This is how to fix could not convert string to float python.
Read: Python find substring in string
How to fix could not convert string to float python
Let us see how to fix could not convert string to float python
In this example, we got a ValueError because the function argument is of an inappropriate type. So, when we tried to typecast a string value it throws ValueError.
Example:
str = "Hi"
print(float(str))
The normal text is not supported by the float() function in python. You can refer to the below screenshot for the error.
To fix value error: could not convert string to float python, we have to give numeric text value to convert it successfully to float. we can use the below code to solve the above error.
Example:
str = "5.45"
print(float(str))
You can refer to the below screenshot to see the output for how to fix could not convert string to float python.
You may like the following Python tutorials:
- How to handle indexerror: string index out of range in Python
- How to convert an integer to string in python
- Slicing string in Python + Examples
- Convert string to float in Python
Here we checked how to fix error, could not convert string to float python.
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Table of Contents
Hide
- ValueError: could not convert string to float
- Exception could not convert string to 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 with spaces or comma Python will throw ValueError while parsing into string object into float.
In this article, we will take a look at what this error means and how to fix this error in your code with examples.
If we are reading and processing the data from excel or CSV, we get the numbers in the form of a string, and in the code, we need to convert from string to float.
Python has a built-in float()
method that can parse the string to a floating-point number. This method will be useful when we need to perform a mathematical operation on a string object.
The float()
method only allows you to convert strings that hold float-like numbers. This means that you cannot convert a value if
- A value contains spaces
- A value contains a comma
- A value contains special characters
Exception could not convert string to float
order_value = '12,000'
tax_percentage = 4
tax_amount = (float(order_value)*(tax_percentage / 100))
print("The total tax amount is ", tax_amount)
Output
Traceback (most recent call last):
File "c:/Projects/Tryouts/main.py", line 4, in <module>
tax_amount = (float(order_value)*(tax_percentage / 100))
ValueError: could not convert string to float: '12,000'
Let’s take a simple example to demonstrate the ValueError exception. In the below code, we have the total order value in terms of USD, and we are accepting this in string format and performing a tax calculation.
If you see the above code, the order value has a comma-separated numeric value, and while parsing into a float, Python will throw ValueError: could not convert string to float.
There are a few other scenarios where you could get ValueError.
- Converting an empty string into a floating-point number
- Converting a non-floating string to a floating-point number
Fix ValueError: could not convert string to float
There are multiple ways to resolve the issue. Let’s take a look at each of the solutions.
Solution 1: Ensure the string has a valid floating value
The easiest way is to clean up the data or pass it in the correct format if we already know the data format before converting it into float.
If the value has a comma, space, or any special characters, then it needs to be processed before converting into float.
In the below code, we are storing a valid float number as a string, and later we are converting that into floating-point to calculate tax.
Example:
order_value = '12000'
tax_percentage = 4
tax_amount = (float(order_value)*(tax_percentage / 100))
print("The total tax amount is ", tax_amount)
Output
The total tax amount is 480.0
Solution 2: Use try-except
The best way is to handle the exception in case of an invalid data format. In the below code, it will run the code in the try block. If the conversion fails, then it runs the except block code.
Example:
order_value = '12,000'
tax_percentage = 4
try:
tax_amount = (float(order_value)*(tax_percentage / 100))
print("The total tax amount is ", tax_amount)
except:
print ("Order value is invalid")
Output
Order value is invalid
Srinivas Ramakrishna is a Solution Architect and has 14+ Years of Experience in the Software Industry. He has published many articles on Medium, Hackernoon, dev.to and solved many problems in StackOverflow. He has core expertise in various technologies such as Microsoft .NET Core, Python, Node.JS, JavaScript, Cloud (Azure), RDBMS (MSSQL), React, Powershell, etc.
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