indexing

问题 DataFrame : category value A 25 B 10 A 15 B 28 A 18 Need to Select rows where following conditions are satisfied, 1. category=A and value between 10 and 20 2. categories other than A 回答1: I think you need boolean indexing: df1 = df[(df['category'] == 'A') & (df['value'].between(10,20))] print (df1) category value 2 A 15 4 A 18 And then: df2 = df[(df['category'] != 'A') & (df['value'].between(10,20))] print (df2) category value 1 B 10 Or: df3 = df[df['category'] != 'A'] print (df3) category

问题 Type mismatch error Dim lr As Integer lr = Range("A1").CurrentRegion.Rows.Count Range("N2").Select Range("N2").Formula = Application.WorksheetFunction.Index(Sheets("SMSv2").Range("A2:L" & lr), Application.Match(Sheets("SMSv2").Range("C2"), Sheets("SMSv2").Range("A2:A" & lr), False), 4) 回答1: Dim lr As Integer lr = Range("A1").CurrentRegion.Rows.Count Range("N2").Select Range("N2").Formula = "=INDEX(SMSv2!$A$2:$L$" & lr & ",MATCH(SMSv1!C2,SMSv2!$A$2:$A$" & lr & ",0),4)" 来源： https:/

问题 I have the following dataframe: g= pd.DataFrame({'A':[1,2,42,5,7],'B':[5,6,7,3,2]}) A B 0 1 5 1 2 6 2 42 7 3 5 3 4 7 2 am using the following list to filter the dataframe: list_values = [5,7,1] and get the following output using: indexes = g[g['A'].isin(list_values)].index.values output array([0, 3, 4], dtype=int64) How do I change the code so that indexes is the following? array([3, 4, 0], dtype=int64) Essentially, I am looking for a way to filter a DF with a list and return the original

问题 I have few spanner tables where I'm facing latency issue while fetching rows through API's. So we are using secondary index for multiple tables, as it improves the performance. We are using around 50 spanner nodes and average utilisation is around 60% and the query being performed are on top of secondary index. Spanner table has 16 secondary index. With all this functionality on place, we are still facing latency issue as query took around 37 seconds to complete. Query is not the complicated

问题 I have few spanner tables where I'm facing latency issue while fetching rows through API's. So we are using secondary index for multiple tables, as it improves the performance. We are using around 50 spanner nodes and average utilisation is around 60% and the query being performed are on top of secondary index. Spanner table has 16 secondary index. With all this functionality on place, we are still facing latency issue as query took around 37 seconds to complete. Query is not the complicated

问题 I have few spanner tables where I'm facing latency issue while fetching rows through API's. So we are using secondary index for multiple tables, as it improves the performance. We are using around 50 spanner nodes and average utilisation is around 60% and the query being performed are on top of secondary index. Spanner table has 16 secondary index. With all this functionality on place, we are still facing latency issue as query took around 37 seconds to complete. Query is not the complicated

问题 I need to use the "savefig" in Python to save the plot of each iteration of a while loop, and I want that the name i give to the figure contains a literal part and a numerical part. This one comes out from an array or is the number associated to the index of iteration. I make a simple example: # index.py from numpy import * from pylab import * from matplotlib import * from matplotlib.pyplot import * import os x=arange(0.12,60,0.12).reshape(100,5) y=sin(x) i=0 while i<99 figure() a=x[:,i] b=y[

问题 I need to use the "savefig" in Python to save the plot of each iteration of a while loop, and I want that the name i give to the figure contains a literal part and a numerical part. This one comes out from an array or is the number associated to the index of iteration. I make a simple example: # index.py from numpy import * from pylab import * from matplotlib import * from matplotlib.pyplot import * import os x=arange(0.12,60,0.12).reshape(100,5) y=sin(x) i=0 while i<99 figure() a=x[:,i] b=y[

问题 I'm working with a json which comes from an API, here is what I'm talking about: { "popularity": 3.518962, "production_companies": [ { "name": "value1", "id": 4 }, { "name": "value2", "id": 562 }, { "name": "value13", "id": 14654 }, { "name": "value4", "id": 19177 }, { "name": "value5", "id": 23243 } ] } I already can return value of popularity As an example I need to know how can I access value of name and which name it is? I also tried to convert it to an array but didn't work or I did

问题 While studying for the 70-433 exam I noticed you can create a covering index in one of the following two ways. CREATE INDEX idx1 ON MyTable (Col1, Col2, Col3) -- OR -- CREATE INDEX idx1 ON MyTable (Col1) INCLUDE (Col2, Col3) The INCLUDE clause is new to me. Why would you use it and what guidelines would you suggest in determining whether to create a covering index with or without the INCLUDE clause? 回答1: If the column is not in the WHERE/JOIN/GROUP BY/ORDER BY , but only in the column list in