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: . By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. Zudem würde ich geren folgende Zeile ergänzen: plt.plot([Menge], [Datum], 'b-') Das funktioniert natürlich nur wenn die Daten richtig eingelesen werden. could not convert string to float: '0,00' Question asked by phzach on Jul 2, 2019 Latest reply on Aug 1, 2019 by phzach. So I try to use KMeans from sklearn. How to convert Python string to an int and float In certain scenarios, you may need to convert a string to an integer or float for performing certain operations in Python. So I can do it for one phone number, but can't for 10. Like • Show 0 Likes 0; Comment • 3; On my system, the "Export Training Data for Deep Learning" Tool seems to export label xml files with a comma as decimal separator see image. Python doesn’t implicitly typecast strings to Integer(numbers).Python has standard built-in int()and functionfloat( ) is to convert a string into an integer or float value. Eg, if the string is s do import unicodedata as ud print(*map(ud.name, s), sep=', ').See the module docs for more nifty functions. Convert string to int Python is different from other programming languages like Java, c and etc. So, I guess that in your column, some objects are float type and some objects are str type. How to convert Python string to an int and float In certain scenarios, you may need to convert a string to an integer or float for performing certain operations in Python. If so, in this tutorial, I’ll review 2 scenarios to demonstrate how to convert strings to floats: (1) For a column that contains numeric values stored as strings; and (2) For a column that contains both numeric and non-numeric values. We’ll occasionally send you account related emails. Scenarios to Convert Strings to Floats in Pandas DataFrame Scenario 1: Numeric values stored as strings ValueError: could not convert string to float: ÿþA Ich vermute ganz stark, dass es an den Datums- und Uhrzeitangaben liegt. FWIW, you can use the standard unicodedata module to get the name of each char in string that's behaving mysteriously. Or maybe, you are also dealing with NaN objects, NaN objects are float objects. The issue is that you are trying to convert the string "#DIV/0' to a float. In Python, how can I parse a numeric string like "545.2222" to its corresponding float value, 545.2222?Or parse the string "31" to an integer, 31?. Whenever I try to run the algorithms on the datasets I get the following error 'could not convert string to float: S0' This error is produced during the during the evaluation of the 5 models; Logistic Regression, Linear Discriminant Analysis, K-Nearest Neighbors, Classification and Regression Trees, Gaussian Naive Bayes and Support Vector Machines. Honestly, I don't even understand what the issue is here... Could you guys help me out please?