sum

问题 I am trying to replicate Excel formula to PowerBI.Which is Is There any DAX to perform this calculation((1-0.2)*B2+0.2*C2). Thanks. 回答1: There no inherent way to do relative row reference in DAX, so you need to explicitly tell it which row to reference. CalculatedColumn = VAR PrevDate = MAXX ( FILTER ( Table1, Table1[Date] < EARLIER ( Table1[Date] ) ), Table1[Date] ) VAR B = LOOKUPVALUE ( Table1[B], Table1[Date], PrevDate ) VAR C = LOOKUPVALUE ( Table1[C], Table1[Date], PrevDate ) RETURN ( 1

问题 If I have a dictionary such as: my_dict = {"A": [1, 2, 3], "B": [9, -4, 2], "C": [3, 99, 1]} How do I create a new dictionary with sums of the values for each key? result = {"A": 6, "B": 7, "C": 103} 回答1: Use sum() function: my_dict = {"A": [1, 2, 3], "B": [9, -4, 2], "C": [3, 99, 1]} result = {} for k, v in my_dict.items(): result[k] = sum(v) print(result) Or just create a dict with a dictionary comprehension: result = {k: sum(v) for k, v in my_dict.items()} Output: {'A': 6, 'B': 7, 'C': 103

问题 I figured out these two methods. Is there a better one? >>> import pandas as pd >>> df = pd.DataFrame({'A': [5, 6, 7], 'B': [7, 8, 9]}) >>> print df.sum().sum() 42 >>> print df.values.sum() 42 Just want to make sure I'm not missing something more obvious. 回答1: Updated for Pandas 0.24+ df.to_numpy().sum() Prior to Pandas 0.24+ df.values Is the underlying numpy array df.values.sum() Is the numpy sum method and is faster 回答2: Adding some numbers to support this: import numpy as np, pandas as pd

问题 I am rather new to coding in general and I'm working on making a heat map, which is straightforward enough. But I am stuck in processing a piece of data. I have an array 5x3 like below for example: [9,9,1; 1,2,6; 3,6,2; 3,2,6; 5,6,2] I want to scan through columns 2 and 3 and sum up column 1 when for each column 2&3 pair. In this case would result in 9 for 9,1 pair, 4 for 2,6 pair and 8 for 6,2 pair. This is a simplified version, my columns 2,3 will have values from 1:20 Thanks for your help

问题 Here are examples of the 4 tables I'm working with. Items +----+------+ | id | name | +----+------+ | 1 | abc | | 2 | def | | 3 | ghi | +----+------+ Buy Table +----+-------------+-----+---------+ | id | date | qty | item_id | +----+-------------+-----+---------+ | 1 | 2020-05-01 | 10 | 1 | | 2 | 2020-05-02 | 20 | 2 | | 3 | 2020-05-03 | 5 | 3 | +----+-----------+-------+---------+ Rent Table +----+-------------+-----+---------+ | id | date | qty | item_id | +----+-------------+-----+---------

问题 Here are examples of the 4 tables I'm working with. Items +----+------+ | id | name | +----+------+ | 1 | abc | | 2 | def | | 3 | ghi | +----+------+ Buy Table +----+-------------+-----+---------+ | id | date | qty | item_id | +----+-------------+-----+---------+ | 1 | 2020-05-01 | 10 | 1 | | 2 | 2020-05-02 | 20 | 2 | | 3 | 2020-05-03 | 5 | 3 | +----+-----------+-------+---------+ Rent Table +----+-------------+-----+---------+ | id | date | qty | item_id | +----+-------------+-----+---------

问题 I have two columns: Col A Col B 01.02.2020 17 03.11.2020 24 03.11.2020 12 As I stated in another question, I tried to sum Col B, based on the month in Col A. The solution was the following formula (without the sort): =ARRAYFORMULA( SUMIF( MID(A:A, 4, 2), SORT(UNIQUE(MID(FILTER(A3:A, A3:A <> ""), 4, 2))), B:B ) ) Something I missed was the population of missing months. Therefore my question is: How can I populate the result table with the missing months and zeroes until values are entered? The

问题 I have two columns: Col A Col B 01.02.2020 17 03.11.2020 24 03.11.2020 12 As I stated in another question, I tried to sum Col B, based on the month in Col A. The solution was the following formula (without the sort): =ARRAYFORMULA( SUMIF( MID(A:A, 4, 2), SORT(UNIQUE(MID(FILTER(A3:A, A3:A <> ""), 4, 2))), B:B ) ) Something I missed was the population of missing months. Therefore my question is: How can I populate the result table with the missing months and zeroes until values are entered? The

问题 I have the dataset below. Col1 is given data and Col2 is the rolling sum of the previous 5 rows of Col1 (inclusive). Date Col1 Col2 01/04/20 2 2 02/04/20 1 3 03/04/20 4 7 04/04/20 7 05/04/20 7 06/04/20 5 10 07/04/20 2 11 08/04/20 7 09/04/20 7 10/04/20 1 8 11/04/20 3 12/04/20 1 13/04/20 1 14/04/20 1 15/04/20 1 1 Is there a way to use arrayformula to do this rather than inputting a sum formula into every cell in Col2 going down? I had a similar question using count and was given this solution:

问题 I have the dataset below. Col1 is given data and Col2 is the rolling sum of the previous 5 rows of Col1 (inclusive). Date Col1 Col2 01/04/20 2 2 02/04/20 1 3 03/04/20 4 7 04/04/20 7 05/04/20 7 06/04/20 5 10 07/04/20 2 11 08/04/20 7 09/04/20 7 10/04/20 1 8 11/04/20 3 12/04/20 1 13/04/20 1 14/04/20 1 15/04/20 1 1 Is there a way to use arrayformula to do this rather than inputting a sum formula into every cell in Col2 going down? I had a similar question using count and was given this solution: