duplicates

问题 I have 2 tables: Table1: id1 | id2 1 | a 2 | a 3 | a 4 | b 5 | b Table2: data | id1 ... | 1 ... | 2 ... | 2 ... | 3 ... | 4 ... | 5 At Table1 I should have unique association of id1->id2, for some unknown reason it's not. I need to fix it and add unique constraint. I need to leave only one to one relation at Table1 and update duplicated ids at Table2 only with that id which is left at Table1 . As the result I should have: Table1: id1 | id2 1 | a 4 | b Table2: data | id1 ... | 1 ... | 1 ... |

问题 I'm trying to find a way to utilize pandas drop_duplicates() to recognize that rows are duplicates when the values are in reverse order. An example is if I am trying to find transactions where customers purchases both apples and bananas, but the data collection order may have reversed the items. In other words, when combined as a full order the transaction is seen as a duplicate because it is made up up of the same items. I want the following to be recognized as duplicates: Item1 Item2 Apple

问题 my goal is to find duplicates in an array of objects, but only for specific object-variables. Instead of using two foreach-loops like the following, I am searching for a better (more elegant) way to find the duplicates: foreach ($data as $date) { foreach ($data as $innerDate) { if ($date->birthday == $innerDate->birthday && $date->street == $innerDate->street && $date->streetnr == $innerDate->streetnr && $date->zipcode == $innerDate->zipcode && $date->twinid == $innerDate->twinid && $date !==

问题 Can I use SQL to extract data into a new table any duplicates within two existing tables? The table below is a snapshot taken from an ERP system Pre my visit. PRE CO Otp Los His Whs Fac 11889204 C20 22 66 1BA 1BA 11889132 C23 22 66 1BA 1BA 11888835 C20 23 66 1BA 1BA 11887689 C20 22 66 1BA 1BA 11884977 C20 22 22 1BA 1BA 11884624 C20 22 99 1BA 1BA The table below is a snapshot taken after my visit. POST CO Otp Los His Whs Fac 11889204 C20 22 66 1BA 1BA 11889132 C23 22 66 1BA 1BA 11888835 C20 23

问题 I have two lists, the first of which represents times of observation and the second of which represents the observed values at those times. I am trying to find the maximum observed value and the corresponding time given a rolling window of various length. For example-sake, here are the two lists. # observed values linspeed = [280.0, 275.0, 300.0, 475.2, 360.1, 400.9, 215.3, 323.8, 289.7] # times that correspond to observed values time_count = [4.0, 6.0, 8.0, 8.0, 10.0, 10.0, 10.0, 14.0, 16.0]

问题 Consider a Pandas data frame: import pandas as pd df = pd.DataFrame({ 'a': pd.Series([1,1,1,2,3]), 'b': pd.Series(list('asdfg')) }) I want to return all of the rows with duplicate values for column a , including the first or last row. I can do this with df[df['a'].duplicated() | df['a'].duplicated(take_last=True)] Is there a better way? 回答1: You can count occurrences of a and return values>1 for duplicated rows. In [25]: df[(df.groupby('a').transform('count')>1).values] Out[25]: a b 0 1 a 1 1

问题 I'm sorry if this questions has been asked before, but I couldn't find an answer for quite a while. The problem is when trying to insert a row in a MySQL table that has multiple UNIQUE keys. If we take the following table as a reference: ---------------------------------------- | id | username | email | ---------------------------------------- | 1 | myuser | test@test.com | ---------------------------------------- Both username and email are UNIQUE keys. If I run a query to insert new row

问题 I have written a modified version of selection sort where I consider both a minimum and maximum of an array and place them at the two ends The algorithm works like this 1. Find the minimum and the maximum value in the list. 2. Swap the minimum value with the value in the first position. 3. Swap the maximum value with the value in the last position. 4. Repeat the steps above for the remainder of the list (starting at the second position and ending at the second to last position and narrowing

问题 I have a script to remove lower version jars files in a directory. #!/bin/bash #Script to remove lower version jar files. for PREFIX in `ls *.jar|sed 's/-[0-9\.\0-9\.a-zA-Z]*\.jar//g'|uniq -d`; do for FILE in `ls -r ${PREFIX}*|sed '1d'`; do echo " $FILE" rm $FILE done done It has a bug. I have below list of Duplicate jar files in a directory. xyz-1.1.jar xyz-1.1.1.jar abc-1.6.jar abc-1.3.jar abc-xyz-pqr-1.9.6.jar abc-xyz-pqr-1.9.2.jar xyz-tom.jar xyz-tom-20120423.jar xyz-tom-20120410.jar abc

问题 I'm fairly new to JavaScript/jQuery, but have made a script to change the background picture. First Script The first script version works fine and does the following: creates a setInterval timer that calls function backgroundChange() to run every 7 seconds decides the next picture URL sets the background picture This works great, but the problem is when the website is live, on a slow connection the background picture doesn't load in time for the next timer change. New Script So the new