rows

问题 I'm currently in the process of converting data, in a table, which is why I've created a new table, identical to the old one, but empty. I've run my data converter, and I have a difference in row count. How do I select all rows that are different from the two tables, leaving out the primary key identifier (that differs on every entry). 回答1: select * from ( SELECT 'Table1',t1.* FROM table1 t1 WHERE (t1.id) NOT IN (SELECT t2.id FROM table2 t2) UNION ALL SELECT 'Table2',t2.* FROM table2 t2 WHERE

问题 So I've been searching for the information I need and have not really been able to find a simple solution, though it seems like there should be one. Basically, I have the following John | Doe | 123 Wallaby Ln | 00123 | | | John | Doe | | 00123 | xxx | yy | Jane | Doe | | 01234 | | zz | Jane | Doe | bleep blop ln | | xx | | And I need John | Doe | 123 Wallaby Ln | 00123 | xxx| yy | Jane | Doe | bleep blop ln | 01234 | xx | zz | Basically pretty simple, I need to merge cells with the same

问题 I have a table with a number of variables such as: +-----------+------------+---------+-----------+--------+ | DateFrom | DateTo | Price | Discount | Cost | +-----------+------------+---------+-----------+--------+ | 01jan17 | 01jul17 | 17 | 4 | 5 | | 01aug17 | 01feb18 | 15 | 1 | 3 | | 01mar18 | 01dec18 | 12 | 2 | 1 | | ... | ... | ... | ... | ... | +-----------+------------+---------+-----------+--------+ However I want to split this so I have: +------------+------------+----------+---------

问题 How do I remove unused rows from a JTable ? I first create a table of a fixed size in a JPanel and then fill elements as needed. Now I don't want unused rows to be displayed in my table. Please help. 回答1: I presently get a table with lots of empty rows in bottom, only top 5-6 rows being used, with rest blank. I want to hide them or remove them somehow Work the other way around. Start with an empty DefaultTableModel. DefaultTableModel supports an addRow() method. So, as you get data to add to

问题 I have the following types of data. How to combine rows by id, and the type record a separate column (all types 10) (or record types, separated by commas in a single column) id,type,value 1,8,value1 1,2,value1 1,7,value1 1,3,value1 1,10,value1 2,3,value1 2,8,value1 2,7,value1 desired output: id type value 0 1 8,2,7,3,10 value1 1 2 3,8,7 value1 回答1: I think you can use groupby with apply join , but first convert int to str : df = df.groupby('id')['type'].apply(lambda x: ','.join(x.astype(str))

问题 I'm trying to write a spreadsheet that will hide the majority of rows and about half the columns when the value of A1=blank . Rows will be based on properties, with 14 rows per property (first row will have the main information; the rest will contain various types of inspections). Columns will be random information about the property, including a bunch of dates. The goal is that the spreadsheet would be a summary of data when A1=blank , but very detailed information about the property would

问题 I am current using the below code snippet i found on stackxchg to delete rows that whereby there is no numeric value in column A. This works however it is gruesomely slow for a sheet with 5000 rows. Is there any way I can get this thing to go faster? The concept is, I have some rows that will kick out dates only if a criteria is met, and a chart will be generated using the dates in this column. I would like the chart range reference to change with the rows, but this is tough since there are

问题 I'm trying to write a bash script that calculates the average of numbers by rows and columns. An example of a text file that I'm reading in is: 1 2 3 4 5 4 6 7 8 0 There is an unknown number of rows and unknown number of columns. Currently, I'm just trying to sum each row with a while loop. The desired output is: 1 2 3 4 5 Sum = 15 4 6 7 8 0 Sum = 25 And so on and so forth with each row. Currently this is the code I have: while read i do echo "num: $i" (( sum=$sum+$i )) echo "sum: $sum" done

问题 I am dealing with a pandas data frame as shown below. id x1 y1 0 2 some_val some_val 1 2 some_val some_val 2 2 some_val some_val 3 2 some_val some_val 4 2 some_val some_val 5 0 0 0 6 3 some_val some_val 7 3 some_val some_val 8 0 0 0 9 5 some_val some_val 10 5 some_val some_val 11 5 some_val some_val 12 0 0 0 13 6 some_val some_val 14 6 some_val some_val 15 6 some_val some_val 16 6 some_val some_val My original data frame was the data frame without the rows with all '0' values. As per the

问题 I have a DB in which id's are change after few rows, then same I'd in some rows then change I'd. What I want that, the same I'd values will be populated listview's in one line, then when the Ids are same, they are all in one row. And thus the next rows populate with same rows which have same ID's. My DB columns and rows are as follows: Verse_id -------words_id----------words_ar------ translate_bn-- 1-----------------------1---------------Mamun-----------Assistant--- 1-----------------------2-