lookup

问题 I have this df. I'd like to replace every instance of "1.1", "2.1" "3.2", etc. based on a lookup table. Lookup table Desired output I looked at Replace values in a dataframe based on lookup table it doesn't solve my problem. Thanks in advance! 回答1: An option would be gsubfn . We match one or more digits with a dot ( [0-9.]+ ) as the pattern and in the replacement, pass a list of key/value pairs created from the second dataset ('df2'). For the matching pattern with the 'keys', it replace the

问题 I'm trying to use Gephi Toolkit in Jython, but having problems with it. The code is below: import sys sys.path.append('gephi-toolkit.jar') from org.openide.util import Lookup import org.gephi.project.api.ProjectController as ProjectController pc = Lookup.getDefault().lookup(ProjectController) workspace = pc.newProject() print "done." It never reaches the last line. Instead gives the following error: Traceback (most recent call last): File "standalone.py", line 9, in <module> workspace = pc

问题 I'm new to Talend and trying to migrate a simple process from existing ETL into Talend ETL. The process itself is Input file-->tMap (few string manipulation and lookup)-->write output Lookup file has 3 columns (long, 1 char string, 2 char string). Long value is the key. Size of input and lookup file (each around 10GB). Server spec is 16 core (2.9GHz) 64GB RAM 8GB swap running linux. I executed the job with Xmx/Xms values of 30g,45g,50g but each time failed with either GC overhead limit

问题 Is there a built-in way in Python to look up a key k in a dict d and, if the key is not present, look it up instead in another dict e ? Can this be extended to an arbitrarily long chain of dict s d => e => f => ...? 回答1: You could use a collections.ChainMap: from collections import ChainMap d = ChainMap({'a': 1, 'b': 2}, {'b': 22}, {'c': 3}) print(d['c']) print(d['b']) This would output: 3 2 Notice that the lookup for key 'b' was satisfied by the first dictionary in the map and the remaining

问题 I have a large CSV file. The first column contains the name of a processor. The second, the processor's benchmark score. EG: Intel Pentium Dual T3400 @ 2.16GHz,1322 Using a PHP script, I would like to search the first column for a string (EG. Pentium Dual T3400), and (assuming that there is only one result per search, else return an error message) create a variable containing the value of the second column. I don't know if this will help, but I was sort of hoping it would look a little like

问题 I have a question that I a may not be thinking correctly about. But I have an a long excel file that I pull from somewhere else with the following columns: Project_Name1, Employee_Name1, Date_Worked1, Hours_Worked1 In another sheet I have these columns Project_Name2, Employee_Name2, Begin_Date2, End_Date2, Hours_Worked2 This second sheet is filled with data, and works just fine. However, it turns out that I have some employee names that I do not know that are also working on the same project.

问题 I am trying to use the $lookup aggregate stage in meteor mongo using aggregate and reactive-aggregate. Unfortunately I am getting this error. Exception from sub Feed id H3yhzuXdAk6LuQa7h MongoError: exception: Unrecognized pipeline stage name: '$lookUp' I know I am not the only one struggling here based on the meteor blogs, https://forums.meteor.com/t/new-mongodb-lookup-aggregation-operator-in-3-2/6784, so any inputs ideas, workarounds but most particularly working source examples of reactive

问题 Suppose I have a Mongo DB with only one collection data . In this collection, I have the following documents: { "type": "person", "value": { "id": 1, "name": "Person 1", "age": 10 } }, { "type": "person", "value": { "id": 2, "name": "Person 2", "age": 20 } }, { "type": "prescription", "value": { "drug": "Bromhexine", "patient": 2 } }, { "type": "prescription", "value": { "drug": "Aspirin", "patient": 1 } } With those records, I'd like to make a JOIN between documents with "type": person and

问题 In this question I need to be able to lookup a value from a dataframe's column not only based on one attribute, but based on more attributes and range comparing against a dictionary. (Yes, this is actually a continuation of a story in R conditional replace more columns by lookup ) It should be easy question for R-known ppl, because I provide working solution for basic indexing, that needs to be upgraded, possibly easily ... but it is very hard for me, because Iam in a process of learning R.

问题 I am trying to find the formula that will search in column A (of worksheet "ABC") to find a value matching G4 in worksheet "XYZ" Once that value is found, return the value of the cell adjacent (column B of "ABC") to the cell in which this formula exists in worksheet "XYZ". All sheets are in the same workbook. Thank you so much! 回答1: here's an example of what you're describing: In spreadsheet ABC, you have a reference value in column A and data in column B In spreadsheet XYZ, you have a