I'm using python arcgis 1.6.2 and arcgispro 2.3. However, the ArcGis Python API function preparedata expects float values to be separeted by a dot.
float (x) method converts x to a floating-point number. 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.
COULD NOT CONVERT STRING TO FLOAT HOW TO
How to Fix in Python: ‘numpy. Which of the following can convert string to float number The answer is option C (float (x)). The following tutorials explain how to fix other common errors in Python: 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. 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 floatĭf = df. We receive an error since the revenue column contains a dollar sign in the strings. Luckily, Python has a very handy string method. ValueError : could not convert string to float: '$400.42' This means that before you convert this to a float, you need to remove the leading and trailing speech marks. Now suppose we attempt to convert the revenue column from a string to a float: #attempt to convert 'revenue' from string to floatĭf = df. ValueError: could not convert string to float. Suppose we have the following pandas DataFrame: import pandas as pdĭf = pd. The following example shows how to resolve this error in practice.
When this occurs, you must first remove these characters from the string before converting it to a float. 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: One common error you may encounter when using pandas is: ValueError : could not convert string to float: '$400.42'
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