aggregate

问题 This is pretty complicated for a person just learning Linq! I asked how to JOIN and GROUP BY in this question and a BIG SHOUT OUT to TriV for his explicit and very helpful answer. Now, I want to take my already very complicated query and create a UNION to a similar query. I have below, 2 separate SQL queries that I have put into 1 query using a UNION clause. The first query joins two tables. But the second query is against only one table, because it is for unassigned assets that are not

问题 (Have already looked at similar questions but they don't answer this query) I have a dataframe df1 with below structure {'token': {0: '180816_031', 1: '180816_031', 2: '180816_031', 3: '180816_031', 4: '180816_031', 5: '180816_031', 6: '180816_031', 7: '180816_031', 8: '180816_031', 9: '180816_031'}, 'variable': {0: 'Unnamed: 0', 1: 'adj_active_polymerase', 2: 'adj_functional_sequencing_pores', 3: 'adj_high_quality_reads', 4: 'adj_single_pores', 5: 'cell_mask_bilayers_sum', 6: 'num_align_high

问题 I am new to DDD, and so am just understanding the basic concepts around it. Can someone please guide me more towards aggregate objects in DDD? particularly, why would you use an “aggregate” object and what key principles would you apply when designing an aggregate? Thanks, 回答1: Let's start it from the beginning. A long time ago in a galaxy far, far away there were SQL databases with ACID transactions. What we are really interested here are the atomicity and consistency from the ACID ancronym.

问题 I am working with elasticsearch and create the following mapping, creating geo index, long field to compare it (gte) ,and boolean filed to identify gender. curl -XDELETE 'http://localhost:9165/locations' && echo curl -XPUT 'http://localhost:9165/locations' && echo curl -XPUT 'http://localhost:9165/locations/location/_mapping' -d ' { "location": { "properties": { "location": {"type" : "geo_point"}, "gender" : {"type" : "boolean"}, "last_appearance": {"type": "long"} } } }' && echo "Mapping

问题 Given a dict, performances , storing Series of kind: 2015-02-28 NaN 2015-03-02 100.000000 2015-03-03 98.997117 2015-03-04 98.909215 2015-03-05 99.909979 2015-03-06 100.161486 2015-03-09 100.502772 2015-03-10 101.685314 2015-03-11 102.518433 2015-03-12 102.427237 2015-03-13 103.424257 2015-03-16 102.669184 2015-03-17 102.181841 2015-03-18 102.436339 2015-03-19 102.672482 2015-03-20 102.238386 2015-03-23 101.460082 ... I want to group them by month, but only pick the first value which is not np

问题 Given a dict, performances , storing Series of kind: 2015-02-28 NaN 2015-03-02 100.000000 2015-03-03 98.997117 2015-03-04 98.909215 2015-03-05 99.909979 2015-03-06 100.161486 2015-03-09 100.502772 2015-03-10 101.685314 2015-03-11 102.518433 2015-03-12 102.427237 2015-03-13 103.424257 2015-03-16 102.669184 2015-03-17 102.181841 2015-03-18 102.436339 2015-03-19 102.672482 2015-03-20 102.238386 2015-03-23 101.460082 ... I want to group them by month, but only pick the first value which is not np

问题 Lets say I have a data frame as follows: gageID date flow_cms 1011000 1937-02-19 25.768334 1011000 1937-02-20 24.918828 1011000 1937-02-21 24.069322 I want to aggregate the rows that have the same month summing the flow, and store the result into a new data value: the first day of every month; in order to obtain the following output: gageID date sum_monthly_flow 1011000 1937-02-01 500.2222 1011000 1937-03-01 589.222 I'm using this line: >rowsum(qfile$flow_cms, format(qfile$date, '%Y-%m-01'))

问题 I have two questions about the query seen on this capture: How do I order by value in the sum_category field in the results? I use respsize again in the query but it's not correct as you can see below. Even if I make only an aggregration, why do all the documents come with the result? I mean, if I make a group by query in SQL it retrieves only grouped data, but Elasticsearch retrieves all documents as if I made a normal search query. How do I skip them? 回答1: Try this: { "query" : { "match_all

问题 I am new to Python. How do I sum data based on date and plot the result? I have a Series object with data like: 2017-11-03 07:30:00 NaN 2017-11-03 09:18:00 NaN 2017-11-03 10:00:00 NaN 2017-11-03 11:08:00 NaN 2017-11-03 14:39:00 NaN 2017-11-03 14:53:00 NaN 2017-11-03 15:00:00 NaN 2017-11-03 16:00:00 NaN 2017-11-03 17:03:00 NaN 2017-11-03 17:42:00 800.0 2017-11-04 07:27:00 600.0 2017-11-04 10:10:00 NaN 2017-11-04 11:48:00 NaN 2017-11-04 12:58:00 500.0 2017-11-04 13:40:00 NaN 2017-11-04 15:15:00

问题 Suppose I have a table with a article headers, author, and also a publication date, I retrieve all of the ones that are published after July 1st, - but now I want to iterate through not the article headers individually, but through sets of all the articles published on each day, what's the best and most pythonic way to build this list. Can it be done in the sqlite query? Edit: I don't actually have a table with articles in sqlite3, but let's suppose I did. And suppose the table articles is