Why floor division is not working according to the rule in this case? p.s. Here Python is treating 0.2 as 0.20000000001 in the floor division case So (12/0.2000000001) is resulting in 59.999999… And floor(59.999999999) outputting 59 But don’t know why python is treating 0.2 as 0.2000000001in the floor division case but not in the division case? Answer The reason why
Tag: floating-point
How do I get the user to input an int rather than a float?
I’m writing a program that takes in a value from the user, in the console, and I’m casting it to an int like so: I need my program to work with ints only. This works to convert an actual int entered into the console to an int I can use in the program, but if the user enters a float,
Why does SQL Server return numbers like 0.759999 while MySQL returns 0.76?
I have a SQL Server database table which has three columns. As an example, one of the values in this column might be 0.76. This column of data, named ‘paramvalue’ is defined as real. When I use the pyodbc module command fetchall() I get back a number like 0.7599999904632568 instead of 0.76. I’m using Visual Studio 2017 and Python Tools
Explicitly Define Datatype in Python Function
I want to define 2 variables in python function and define them as float explicitly. However, when i tried to define them in the function parameter, it’s showing syntax error. Please help me get the desired output. Here is the code: Answer Python is a strongly-typed dynamic language, which associates types with values, not names. If you want to force
Convert floats to ints in Pandas?
I’ve been working with data imported from a CSV. Pandas changed some columns to float, so now the numbers in these columns get displayed as floating points! However, I need them to be displayed as integers or without comma. Is there a way to convert them to integers or not display the comma? Answer To modify the float output do
Format / Suppress Scientific Notation from Pandas Aggregation Results
How can one modify the format for the output from a groupby operation in pandas that produces scientific notation for very large numbers? I know how to do string formatting in python but I’m at a loss when it comes to applying it here. This suppresses the scientific notation if I convert to string but now I’m just wondering how
remove leading 0 in exponential format in python
I have the following code in Python 3.1 Which gives a string of 9.038768E-08, but I want the string 9.038768E-8 with the leading 0 of E-08 removed. How should I go about this? Answer you could do something like this or better as JBernardo suggests You need to do a replace for E+0 as well if you have big numbers
How to get a random number between a float range?
randrange(start, stop) only takes integer arguments. So how would I get a random number between two float values? Answer Use random.uniform(a, b):
How to get numbers after decimal point?
How do I get the numbers after a decimal point? For example, if I have 5.55, how do i get .55? Answer An easy approach for you:
Format floats with standard json module
I am using the standard json module in python 2.6 to serialize a list of floats. However, I’m getting results like this: I want the floats to be formated with only two decimal digits. The output should look like this: I have tried defining my own JSON Encoder class: This works for a sole float object: But fails for nested