pivot | 易学教程

How to access the last indicator values

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问题 I've got an indicator which shows pivot points: //@version=4 study("Trend", overlay=false) leftBars = input(3) rightBars = input(3) ph = pivothigh(high, leftBars, rightBars) pl = pivotlow(low, leftBars, rightBars) How can I check if the last ph was higher than the ph before? (I'd like to check for an uptrend or downtrend) 回答1: You can try the following code (including your original, as you see): //@version=4 study("Trend", overlay=false) leftBars = input(3) rightBars = input(3) ph = pivothigh

pivoting large table in postgresql

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问题 I'd like to pivot a table, similar to the one below to display as follows The actual table I'm using has over 1.6 million rows, and 1500+ fields, mostly with non-boolean answers.Most of the solutions I've found require me to specify what the Field Answer contents will be in the query, which is not feasible, given the number of fields and variety of field answers. Any help would be appreciated. 来源： https://stackoverflow.com/questions/65587003/pivoting-large-table-in-postgresql

How do I transpose a result set and group by week?

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问题 I have a view based on query: SELECT CONVERT(VARCHAR(10), date, 103) AS date, eventid, name, time, pts FROM results WHERE DATEPART(yy, date) = 2019; This provides a data set such as this: Date EventID Name Time Points 24/04/2019 10538 Fred Flintstone 22:27 10 24/04/2019 10538 Barney Rubble 22:50 9 24/04/2019 10538 Micky Mouse 23:17 8 24/04/2019 10538 Yogi Bear 23:54 7 24/04/2019 10538 Donald Duck 24:07 6 01/05/2019 10541 Barney Rubble 21:58 10 01/05/2019 10541 Fred Flintstone 22:00 9 01/05

Efficiently convert rows to columns in sql server

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问题 I'm looking for an efficient way to convert rows to columns in SQL server, I heard that PIVOT is not very fast, and I need to deal with lot of records. This is my example: ------------------------------- | Id | Value | ColumnName | ------------------------------- | 1 | John | FirstName | | 2 | 2.4 | Amount | | 3 | ZH1E4A | PostalCode | | 4 | Fork | LastName | | 5 | 857685 | AccountNumber | ------------------------------- This is my result: -----------------------------------------------------

Dynamic Pivot Query using Sql Developer Oracle

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问题 Initial table students NAME School Class John Hs English Steve Hs Maths Matthew Hs Science Jim Hs History Output Needed: I need the query to auto pick up Name column data from initial table and change it to column headers in output and since the names will continuously change i cannot hard code the names using simple pivot query. I am new to pivot queries so I wanted to request if someone can help me out. Thank You. School John Steve Matthew Jim Hs English Maths Science History Here's what i

How to pivot a dataframe?

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问题 What is pivot? How do I pivot? Is this a pivot? Long format to wide format? I've seen a lot of questions that ask about pivot tables. Even if they don't know that they are asking about pivot tables, they usually are. It is virtually impossible to write a canonical question and answer that encompasses all aspects of pivoting... ... But I'm going to give it a go. The problem with existing questions and answers is that often the question is focused on a nuance that the OP has trouble

利用ArcGIS和Python计算中国各省路网密度

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ArcGIS 相交利用ArcGIS里面的相交工具，每个省把路标识了。计算几何分别计算路网的长度和各省的面积。 Python 利用Python对属性数据进行处理导入相关模块 ## 导入相关模块 import pandas as pd import geopandas as gpd import matplotlib.pyplot as plt %matplotlib inline 解决中文乱码 plt.rcParams['font.family'] = ['sans-serif'] plt.rcParams['font.sans-serif'] = ['SimHei']# 替换sans-serif字体为黑体 plt.rcParams['axes.unicode_minus'] = False # 解决坐标轴负数的负号显示问题数据读取 regibns = gpd.GeoDataFrame.from_file("省级行政区.shp") regibns = regibns[["NAME","AREA","geometry"]] regibns["AREA"] = regibns["AREA"]/1000000 regibns.head() regibns.plot() ! road = gpd.GeoDataFrame.from_file("道路密度.shp") road

simple SQL Pivot Query

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问题 I apologize for my ignorance. I just am not familiar with pivot queries AT ALL and all the examples I find seem about as clear as mud. I have table that returns GroupName and ID Numbers. For Example: SELECT GroupName, IDnumber FROM do.Table_1 Returns GroupName IDnumber 1 8395 1 A660 1 8396 1 A661 2 8398 2 A662 2 8399 What I want is something more like this: GroupName ID1 ID2 ID3 ID4 1 8395 A660 8396 A661 2 8398 A662 8399 NULL How can I do this? Pivot query? Some other method? I am open to

simple SQL Pivot Query

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How can I Create a Multi-Value CrossTab Query in Access 2013?

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问题 My Issue I'm working in Access 2013. I have a set of data that needs broken down based on two fields (best done with a crosstab query). My issue is, I need to show the SUM and the COUNT of each 'Value' ([Amt Total] field) -- and unfortunately Access has yet to allow multi-value crosstab queries. For reference purposes if someone is searching online with similar issues - the resulting error if you try to add multiple 'Value' fields in Access: To create a crosstab query, you must specify one or