Float() This function is used to convert any data type to a floating-point number. And this is generally a good first step you can take to further explore your data. If no argument is passed then the method returns 0.0. I am having a very tough time converting float to string. I want something like. Highlighted. array([['143347', '1325', '28.19148936', ..., '61', '0', '0'], ['50905', '0', '0', ..., '110', '0', '0'], ['143899', '1325', '28.80434783', ..., '61', '0', '0'], ..., ['85', '0', '0', ..., '1980', ' As the title suggests, I am having problems loading intraday data into my code. To convert this to a floating-point number, i.e., float object, we will pass the string to the float() function. Scenarios to Convert Strings to Floats in Pandas DataFrame Scenario 1: Numeric values stored as strings. The significant trace in plain text: "ValueError: could not convert string to float: b'0,000000'" with the ',' (instead of '.') ValueError: could not convert string to float: ' ' Refresh. But each time i insert it it gives the code error: ValueError: could not convert string to float: '30,'. Artem Kuzmin Artem Kuzmin. It is giving ValueError, but I don't know why. For this I try to convert the list of strings to a list of floats for example with: CD_cent2=[float(x) for x in CD_cent] But I a It has a dtype of
could not convert string to float comma 2021