How to convert a array of string to array of float using

Question

I have a array as shown below, in that I am having a variable called f, I need to assign the some value for this variable f say 2 and convert this into a floating point array.

(['0.', '0.', '-6.190649155150273*^15 + 0.7747634892904517*f^2',
       '2.2098855503598858*^10 + 4.250697125128597*^-7*f^2', '0.', '0.',
       '0.', 0.0, 0.0, -1427.5184297531378], dtype=object)

I tried with df.convert_objects(convert_numeric=True) but it is not working

Answer 1

So I presume that the math expressions for

-6.190649155150273*^15 + 0.7747634892904517*f^2 is

2.2098855503598858*^10 + 4.250697125128597*^-7*f^2 is

And, maybe my presume is wrong, but I understand that you wanna make a math expression written in the string that could run as code.

So, I will recommend SymPy, here is the official website, you can check the detail, I'll give you a little example.

Explain

1. eval

Python eval() to dynamically evaluate expressions from a string-based or compiled-code-based input.

2. subs

• dict args as function input, for your example, {f:2}
• be careful, here f is not a string, but the symbols variable

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And also, if I misunderstand the math expressing meaning, you need to replace or regexp by yourself.