Series (['1.0', '2',-3]) ... Ini tidak berfungsi saat mengonversi dari String ke Float:ValueError: could not convert string to float: 'date' — Jack @Jack apakah Anda tahu solusi di sini? In this programme i'm trying to solve a mathematical ratio problem, then calculate the squareroot, however, whenever i try to give it input like this: 2.5, it throws out the following error: Error:ValueError: could not convert string to float: . Also if I convert pandas to values it does not work either! data=pd.read_excel('link to the file') Suppose we have a string ‘181.23’ as a Str object. In the Pandas dataframe, I have to encode all the data which are categorized to dtype:object. Trouble converting string to float in python, As you guessed, ValueError: could not convert string to float: '13.75%' indicates that the % character blocks the convertion. 3 . Next Article py4j.Py4JException: Method or([class java.lang.Boolean]) does not exist Put all source into a directory named src; Create another directory at same node named backup. Dont have anything with errors(i think) so i dont know how to solve this. So, I have a dataframe with more that 10^6 lines in it and I am just doing a simple conversion of lat (degrees min) to lat (degrees only). I think the problem is in data - a problematic string exists. 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 X_fa = X_np.astype(float) There are two ways to convert String column to float in Pandas. “ValueError: could not convert string to float” may happen during transform. As mentioned earlier, I recommend that you allow pandas to convert to specific size float or int as it determines appropriate. You can use asType(float) to convert string to float in Pandas. Active 4 years, 3 months ago. $ pd.get_dummies(string column) This is not a native data type in pandas so I am purposely sticking with the float approach. The problem was a thousand separator. Pandas: Read CSV: ValueError: could not convert string to float , I found the mistake. Which converts this string to a float and returns the float object. Now when you try to Could not convert string to float - Pandas Read Column. I can read the first 16 million lines (setting nrows=160000 This is a “non-breaking Latin1 ( ISO 8859-1) space”. astype (float) Here is an example. import pandas as pd s = pd. However the numpy one is dtype "