Convert a Unicode string to a string in Python (containing extra symbols)
How do you convert a Unicode string (containing extra characters like £ $, etc.) into a Python string?
type-conversion
NumPy or Pandas: Keeping array type as integer while having a NaN value
Is there a preferred way to keep the data type of a numpy array fixed as int (or int64 or whatever), while still having an element inside listed as numpy.NaN?
Checking if a string can be converted to float in Python
I’ve got some Python code that runs through a list of strings and converts them to integers or floating point numbers if possible. Doing this for integers is pretty easy
How can I convert a string with dot and comma into a float in Python
How can I convert a string like 123,456.908 to float 123456.908 in Python?
Convert bytes to int?
I’m currently working on an encryption/decryption program and I need to be able to convert bytes to an integer. I know that:
list to dictionary conversion with multiple values per key?
I have a Python list which holds pairs of key/value:
Import pandas dataframe column as string not int
I would like to import the following csv as strings not as int64. Pandas read_csv automatically converts it to int64, but I need this column as string.
Convert columns to string in Pandas
I have the following DataFrame from a SQL query:
Error: ‘int’ object is not subscriptable – Python
I was trying a simple piece of code, get someone’s name and age and let him/her know when they turn 21… not considering negatives and all that, just random.
Call int() function on every list element?
I have a list with numeric strings, like so: