WebMay 1, 2024 · Hello, I tried it again with your suggestion but it still could not convert the string to a float. Thank you tho! – Danny. May 1, 2024 at 4:47. Add a comment Your Answer Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Provide details and share your research! WebNov 26, 2016 · It tells you exactly what the problem is -- it's trying to convert the first argument to a number. Have a look at the documentation for matplotlib.pyplot.bar. It's a bit unintuitive, but the first argument is a coordinate for the left side of …
python - "Could not convert string to float: b
WebOct 17, 2010 · np.datetime64 works with format yyyy-mm-dd hh:mm:ss. If you have a list of 5-6 elements you can directly make use of np.datetime64 data type by just changing the format (yyyy-mm-dd hh:mm:ss) of date in your list. for example: dates= ['17-10-2010 07:15:30', '13-05-2011 08:20:35', "15-01-2013 09:09:09"] #to dates= ['2010-10-17 … WebSep 3, 2024 · The data are in this form: b'-1.379531\n-0.050295\n' The lines that I use to convert them into float def . Stack Overflow. About; Products For Teams; ... "Could not convert string to float: b'-'" Ask Question Asked 6 months ago. Modified 6 months ago. Viewed 386 times the perfect package 4.0
【Python】カンマ入りの文字列(string)を数値(float)に変換する …
WebJun 7, 2016 · Python - ValueError: could not convert string to float: Ask Question Asked 6 years, 10 months ago. Modified 5 years, 10 months ago. ... Since you don't have any point in the code where you attempt to convert to float, it must be that the data you have is in a form that prevents it from being read as a number by your parsing commands. Share. WebDec 2, 2013 · the float function can take a string but it must contain a possibly signed decimal or floating point number. You want to make the variable a a float not the char 'a'.. You don't need all the ' around your variable names. When you put quotes around them 'b' you are making them a string.. On another note once you reach on of those while … WebSep 7, 2024 · 3 Answers. A quick solution would involve using pd.to_numeric to convert whatever strings your data might contain to numeric values. If they're incompatible with conversion, they'll be reduced to NaN s. from sklearn.linear_model import LinearRegression X = X.apply (pd.to_numeric, errors='coerce') Y = Y.apply (pd.to_numeric, errors='coerce ... siblings food park