How can I convert a string like 123,456.908 to float 123456.908 in Python?
For ints, see How to convert a string to a number if it has commas in it as thousands separators?, although the techniques are essentially the same.
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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.
ID
00013007854817840016671868
00013007854817840016749251
00013007854817840016754630
00013007854817840016781876
00013007854817840017028824
00013007854817840017963235
00013007854817840018860166
df =….
Using the new Enum feature (via backport enum34) with python 2.7.6.
Given the following definition, how can I convert an int to the corresponding Enum value?
from enum import Enum
class Fruit(Enum):
Apple = 4
Orange = 5
Pear = 6
I know I can hand craft a series of if-statements to do the conversion but is there an easy pythonic way t….
I am struggling with the following problem:
I want to convert an OrderedDict like this:
OrderedDict([(‘method’, ‘constant’), (‘data’, ‘1.225’)])
into a regular dict like this:
{‘method’: ‘constant’, ‘data’:1.225}
because I have to store it as string in a database. After the conversion the order is not important anymore, so I can spare the ordere….
I’m currently working on an encryption/decryption program and I need to be able to convert bytes to an integer. I know that:
bytes([3]) = b’\x03′
Yet I cannot find out how to do the inverse. What am I doing terribly wrong?
….
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?
In particular, I am converting an in-house data structure to a Pandas DataFrame. In our structure, we have integer-type columns that still have NaN’s (but the dtype of the column is int). It….
I have a list with numeric strings, like so:
numbers = [‘1’, ‘5’, ’10’, ‘8’];
I would like to convert every list element to integer, so it would look like this:
numbers = [1, 5, 10, 8];
I could do it using a loop, like so:
new_numbers = [];
for n in numbers:
new_numbers.append(int(n));
numbers = new_numbers;
Does it have to be so ugly? I’m ….
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
if element.isdigit():
newelement = int(element)
Floating point numbers are more difficult. Right now I’m using partition(‘.’) to split the string and checking to make sure tha….
What’s the correct way to convert a string to a corresponding instance of an Enum subclass? Seems like getattr(YourEnumType, str) does the job, but I’m not sure if it’s safe enough.
As an example, suppose I have an enum like
class BuildType(Enum):
debug = 200
release = 400
Given the string ‘debug’, how can I get BuildType.debug as a resul….
I have the following DataFrame from a SQL query:
(Pdb) pp total_rows
ColumnID RespondentCount
0 -1 2
1 3030096843 1
2 3030096845 1
and I want to pivot it like this:
total_data = total_rows.pivot_table(cols=[‘ColumnID’])
(Pdb) pp total_data
ColumnID -1 3030096843 3….