Aug 2, 2010 · If you need to convert a string float to an int you can use this method. Example: '38.0' to 38 In order to convert this to an int you can cast it as a float then an int.

Nov 27, 2015 · To convert an integer to a float in Python you can use the following: float_version = float(int_version) The reason you are getting 0 is that Python 2 returns an integer if the mathematical operation (here a division) is between two integers. So while the division of 144 by 314 is 0.45~~~, Python converts this to integer and returns just the 0 ...

Jan 22, 2014 · For an people hitting the above and finding it useful in concept but not working for you, this is the version that worked for me in python 3.7.5 with pandas X: df = df.astype(int) – Oliver.R Commented Feb 24, 2020 at 8:13

Regarding division in Python 2, there is by default only / which maps to __div__ and the result is dependent on the input types (e.g. int, float). Python 2.2 introduced the __future__ feature division, which changed the division semantics the following way (TL;DR of PEP 238):

Note that passing int as dtype to astype or array will default to a default integer type that depends on your platform. For example on Windows it will be int32 , on 64bit Linux with 64bit Python it's int64 .

A few side notes: You almost never want to check if spam == False:, just if not spam:.In an elif, you don't need to recheck the opposite of the if test—you already know isalpha is true, because you know it isn't false.

Dec 19, 2008 · This is a function which will convert any object (not just str) to int or float, based on if the actual string supplied looks like int or float. Further if it's an object which has both __float and __int__ methods, it defaults to using __float__. def conv_to_num(x, num_type='asis'): '''Converts an object to a number if possible.

2.51 and 4.02 are the only values that lead to that strange behaviour on the 2.50 -> 5.00 range. Every other two digits value in that range converts to int without any problem when given the same operations. So, what am I missing that leads to …

3. infer_objects() Version 0.21.0 of pandas introduced the method infer_objects() for converting columns of a DataFrame that have an object datatype to a more specific type (soft conversions).

Feb 26, 2012 · numpy.float32 -> "python float" numpy.float64 -> "python float" numpy.uint32 -> "python int" numpy.int16 -> "python int" I could try to come up with a mapping of all of these cases, but does numpy provide some automatic way of converting its dtypes into the closest possible native python types?