data-processing

问题 I have below object returned by a particular function {"count":3, "items":[ { "organizationCode": "FP1", "organizationName": "FTE Process Org" }, { "organizationCode": "T11", "organizationName": "FTE Discrete Org" }, { "organizationCode": "M1", "organizationName": "Seattle Manufacturing" } ] }; user has to search whether particular string exist in this object or not. If user need to search T11 then he can enter either T11 or 'T11' or "T11" . all this case should be accepted. If user enteres

问题 I have below object returned by a particular function {"count":3, "items":[ { "organizationCode": "FP1", "organizationName": "FTE Process Org" }, { "organizationCode": "T11", "organizationName": "FTE Discrete Org" }, { "organizationCode": "M1", "organizationName": "Seattle Manufacturing" } ] }; user has to search whether particular string exist in this object or not. If user need to search T11 then he can enter either T11 or 'T11' or "T11" . all this case should be accepted. If user enteres

问题 Am using scrapy to scrape data off the new york times website, but the scraped data are full of null values I don't want so in order to clean my extracted data I have changed the pipeline.py script. and it worked when I extract a single value or two it works like a charm. but when I extract multiple values and since there is at least one null value on each extracted row the algorithm ends up deleting almost all my data. is there a way to stop this from happening ? here is my spider file : # -

问题 I am trying load a Simple CSV file from GCS to BQ using Google Data Fusion Free version. The pipeline is failing with error . it reads com.google.api.gax.rpc.InvalidArgumentException: io.grpc.StatusRuntimeException: INVALID_ARGUMENT: Insufficient 'DISKS_TOTAL_GB' quota. Requested 3000.0, available 2048.0. at com.google.api.gax.rpc.ApiExceptionFactory.createException(ApiExceptionFactory.java:49) ~[na:na] at com.google.api.gax.grpc.GrpcApiExceptionFactory.create(GrpcApiExceptionFactory.java:72)

问题 I'm trying to make a network that identifies missing atoms from an image, and is then able to count them. So far, I have created a CNN that is able to output an image like below that solely highlights such atoms 1, and I have found an OpenCV library tat I think would be able to count all the individual white spots (https://www.geeksforgeeks.org/white-and-black-dot-detection-using-opencv-python/). However I would like to be able to count the missing atoms for a given structre: eg I've circled

问题 Background I have 4 sets of data for a brushed DC motor all collected from the same experiment : torque vs speed (T vs w) torque vs efficiency (T vs n) torque vs input power (T vs Pin) torque vs output power (T vs Pout) However, each data set has: slightly different x values for the first and last data pairs (T_0 and T_N do not match between each data set) different spacing between each data point (dT is not the same for all sets) different sizes ("T vs w" has more data pairs than "T vs Pin")

问题 I Have a table ( excel ) with two columns ( Time 'hh:mm:ss' , Value ) and i want to get most frequent value for each group of row. for example i have Time | Value 4:35:49 | 122 4:35:49 | 122 4:35:50 | 121 4:35:50 | 121 4:35:50 | 111 4:35:51 | 122 4:35:51 | 111 4:35:51 | 111 4:35:51 | 132 4:35:51 | 132 And i want to get most frequent value of each Time Time | Value 4:35:49 | 122 4:35:50 | 121 4:35:51 | 132 Thanks in advance UPDATE The first answer of @scott with helper column is the correct

问题 I have a pandas dataframe which has results of record similarity. For example, rowid 123 is similar to rowid 512 and rowid 123 is similar to 681. Technically, all three rows are similar. How can I group similar rows? Note that my data has combinations - Example (123,512) and (512,123) import pandas as pd df = pd.DataFrame({'A': [123,123,512,412,412,536], 'B': [512,681,123,536,919,412]}) df A B 123 512 123 681 512 123 412 536 412 919 536 412 Expected Output Group1 123 Group1 512 Group1 681

问题 I have a list of Java Objects and I need to reduce it applying Aggregate Functions like a select over a DataBase. NOTE: The data were calculated from multiples Databases and services calls. I expect to have thousands of rows and each row always will have the same quantity of "cells" for each execution. This quantity changes between executions. Samples: Supposing I have my data represented in a List of Object[3] ( List<Object[]> ) my data could be: [{"A", "X", 1}, {"A", "Y", 5}, {"B", "X", 1},

问题 I am quite new with CKEditor (starting to use it 2 days ago) and I am still fighting with some configuration like removing the tag from editor. So for example, if a user type in source mode the following: <script type="text/javascript">alert('hello');</script> I would like to remove it. Looking the documentation, I found that this can be done using an HTML filter. I so defined it but it does not work. var editor = ev.editor; var dataProcessor = editor.dataProcessor; var htmlFilter =