conditional-statements

问题 I got stuck in one point. See this playground, it should follow this logic: if history's collection is empty, return data if history's date collection is greater then main's collection base on specified user_id , return nothing if specified user_id doesn't match with history's collection date then it should return all data that is in main collection. So everything looks fine in playground the only problem when i am putting 5e4e74eb380054797d9db623 id it should not return me data because its

问题 As the topic, how do I manipulate the data from the flat file before loading them onto teradata database using BTEQ script.... I'm unsure which part should the manipulation be written onto the bteq script.... USING ------------------------------------------------------ INSERT INTO ------------------------------------------------------ Values In my opinion, data manipulation should be done here ------------------------------------------------------ Table Name : Jerry A ------- | 5 | | 6 | | 7

问题 I have 2 genetic datasets. I filter file1 based on a column in file2. However, I also need to account for a second column in file2 and I'm not sure how to do this. The condition for file 1 row extraction is that only rows that have a chromosome position either more than 5000 larger or more than 5000 smaller than any chromosome positions for variants on the same chromosome in file 2 are selected. For example my data looks like: File 1: Variant Chromsome Chromosome Position Variant1 2 14000

问题 I have 2 genetic datasets. I filter file1 based on a column in file2. However, I also need to account for a second column in file2 and I'm not sure how to do this. The condition for file 1 row extraction is that only rows that have a chromosome position either more than 5000 larger or more than 5000 smaller than any chromosome positions for variants on the same chromosome in file 2 are selected. For example my data looks like: File 1: Variant Chromsome Chromosome Position Variant1 2 14000

问题 I would like to add (numerous) conditions to a loop that cycles through my data (and currently only picks the closest (not necessarily most recent) previous owner within a set distance). Previous owners (>20,000) are stored in a dataset called lifetime_census (data available here): previous_id reflo locx locy lifespan census_year gr 5587 -310 -3 10 1810 2003 A 7687 -310 -3 10.1 110 2001 A 5101 Q1 17.3 0.8 55 2004 A 9109 Q1 17.4 0.9 953 2003 B 6077 M2 13 1.8 979 2003 B 8044 M2 13.1 1.7 100

问题 I have two threads running and I want them to wait for each other at a specific line using threading.Condition(). However it seems that the global variable v is not global. It is a different variable for each thread. Here is the minimum viable product: import threading lock = threading.Condition() v = 0 n = 2 def barrier(): with lock: global v v =+ 1 print("v is increased to " + str(v)) if v == n: print("v is equal to n") lock.notifyAll() print("v equals n") v = 0 else: lock.wait() class

问题 I would like to pick the closest previous owner within a set distance only after the first search condition isn't met. The locations are called reflo (reference location), and they have a corresponding x and y coordinates (called locx and locy , respectively). The conditions: if lifetime_census$reflo==owners$reflo.x[i] then condition is met if lifetime_census$reflo!=owners$reflo.x[i] , then find next closest record (within 30 meters) if there is no record within 30 meters, then assign NA

问题 Basically I want to stop a function but not by terminating the script. While True: do function A() do function B() if ( condition ): function B.stop() What I mean is when the condition is met, the while loop still runs but in the next iteration of the while loop, it only does function A, no longer does it do function B. I wonder if we can archive this in python? Thanks 回答1: How about using a flag within the loop flag = True while True: if flag: do function B() if condition: flag = false 回答2:

问题 My question is simple, I have a dataframe and I groupby the results based on a column and get the size like this: df.groupby('column').size() Now the problem is that I only want the ones where size is greater than X . I am wondering if I can do it using a lambda function or anything similar? I have already tried this: df.groupby('column').size() > X and it prints out some True and False values. 回答1: The grouped result is a regular DataFrame, so just filter the results as usual: import pandas

问题 My question is simple, I have a dataframe and I groupby the results based on a column and get the size like this: df.groupby('column').size() Now the problem is that I only want the ones where size is greater than X . I am wondering if I can do it using a lambda function or anything similar? I have already tried this: df.groupby('column').size() > X and it prints out some True and False values. 回答1: The grouped result is a regular DataFrame, so just filter the results as usual: import pandas