The problem is like this My solution: Now, if I enter 18 then it should be printed “Weird”. But it is showing “Not Weird”. I am not getting where the problem of my code is. Answer The operator & is the bitwise and operation. You need logical AND, instead, and it is done by means of and keyword. Just replace
Tag: conditional-statements
How to calculate with conditions in pandas?
I have a dataframe like this, I want to calculate and add a new column which follows the formula: Value = A(where Time=1) + A(where Time=3), I don’t want to use A (where Time=5). I know how to do by selecting the cell needed for the formula, but is there any other better ways to perform the calculation? I suspect
Pandas: add column with progressive count of elements meeting a condition
Given the following dataframe df: I want to add another column that counts, progressively, the elements with df[‘B’]=’yes’: How can I do this? Answer You can use numpy.where with cumsum of boolean mask: Another solution is count boolean mask created by filtering and then add 0 values by reindex: Performance (in real data should be different, best check it first):
How to solve StopIteration error in Python?
I have just read a bunch of posts on how to handle the StopIteration error in Python, I had trouble solving my particular example.I just want to print out from 1 to 20 with my code but it prints out error StopIteration. My code is:(I am a completely newbie here so please don’t block me.) Answer Any time you use
Python pandas – new column’s value if the item is in the list
I want to create a new column in pandas dataframe. The first column contains names of countries. The list contains countries I am interested in (eg. in EU). The new colum should indicate if country from dataframe is in the list or not. Below is the shortened version of the code: The error I get is: ValueError: The truth value
Why is the use of len(SEQUENCE) in condition values considered incorrect by Pylint?
Considering this code snippet: I was alarmed by Pylint with this message regarding the line with the if statement: [pylint] C1801:Do not use len(SEQUENCE) as condition value The rule C1801, at first glance, did not sound very reasonable to me, and the definition on the reference guide does not explain why this is a problem. In fact, it downright calls
pandas multiple conditions based on multiple columns
I am trying to color points of a pandas dataframe depending on TWO conditions. Example: I have tried so many different ways now and everything I found online was only depending on one condition. My example code always raises the Error: Here’s the code. Tried several variations without success. Btw: I understand, what it says but not how to handle
How to do/workaround a conditional join in python Pandas?
I am trying to calculate time-based aggregations in Pandas based on date values stored in a separate tables. The top of the first table table_a looks like this: Here is the code to create the table: The second table, table_b, looks like this: and the code to create it is: I want to be able to get the sum of