I want to filter my dataframe with an or condition to keep rows with a particular column’s values that are outside the range [-0.25, 0.25]. I tried: But I get the error: Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() Answer The or and and Python statements require truth-values. For pandas, these are considered
Tag: boolean
if x:, vs if x == True, vs if x is True
Apologies if this has been asked before, but I have searched in vain for an answer to my exact question. Basically, with Python 2.7, I have a program running a series of geoprocessing tools, depended on what is reqested via a series of True/False variables that the user adjusts in the script e.g. However, I have now discovered that x
How can I map True/False to 1/0 in a Pandas DataFrame?
I have a column in python pandas DataFrame that has boolean True/False values, but for further calculations I need 1/0 representation. Is there a quick pandas/numpy way to do that? Answer A succinct way to convert a single column of boolean values to a column of integers 1 or 0:
How to “negate” value: if true return false, if false return true?
Is there a better way to do a toggle in python, like a nyvalue = not myval ? Answer Use the not boolean operator: not returns a boolean value (True or False): If you must have an integer, cast it back: However, the python bool type is a subclass of int, so this may not be needed:
Parsing boolean values with argparse
I would like to use argparse to parse boolean command-line arguments written as “–foo True” or “–foo False”. For example: However, the following test code does not do what I would like: Sadly, parsed_args.my_bool evaluates to True. This is the case even when I change cmd_line to be [“–my_bool”, “”], which is surprising, since bool(“”) evalutates to False. How can
Python: if not val, vs if val is None
I’ve always coded in the style of if not value, however, a few guides have brought to my attention that while this style works, it seems to have 2 potential problems: It’s not completely readable; if value is None is surely more understandable. This can have implications later (and cause subtle bugs), since things like [] and 0 will evaluate
Checking date against date range in Python
I have a date variable: 2011-01-15 and I would like to get a boolean back if said date is within 3 days from TODAY. Im not quite sure how to construct this in Python. Im only dealing with date, not datetime. My working example is a “grace period”. A user logs into my site and if the grace period is