rows

问题 I am trying to create a query in MS Access to ultimately take the output from this: Name Cat 1 Cat 2 Cat 3 Cat 4 Cat 5 Cat 6 Joe 2 12 10 1 0 0 Bob 0 0 0 0 0 0 Jody 2 4 3 1 2 0 Harry 0 4 14 0 2 0 To something like this: Name Joe Bob Jody Harry Cat 1 2 0 2 0 Cat 2 12 0 4 4 Cat 3 10 0 3 14 Is this even possible? EDIT SELECT [Authorizer Name], Sum([Q1A - CD # 1]) AS [Category 1], Sum([Q2A- CD # 2A] + [Q8A- CD # 2A] + [Q10A- CD # 2A] + [CTS A accurate- CD # 2A] + [e-correspondence A accurate- CD #

问题 I have data frame with 12511 rows and 16 columns obtained from animal running experiment. Each row representing running counts every minute for each animal. I would like to sum the columns on every 60th row (that is counts per hour). I tried to use apply function for summing 60 rows: apply(rw[1:60,],2,sum) apply(rw[61:120,],2,sum) apply(rw[121:180,],2,sum) ... keeping to do this until 12511 is unthinkable and time consuming. I am sure there is a smart way to condense my data to 208 rows.

问题 I have a simple pdo prepared query: $result = $db->prepare("select id, course from coursescompleted where person=:p"); $result ->bindParam(':p', $q, PDO::PARAM_INT); $result->execute(); $rows = $result->fetch(PDO::FETCH_NUM); echo $rows[0]; the echo seems to be returning the ID value of the record, not the number of records returned by the query? any idea or explanation for this? 回答1: PDO::FETCH_NUM: returns an array indexed by column number as returned in your result set, starting at column

问题 I have a simple pdo prepared query: $result = $db->prepare("select id, course from coursescompleted where person=:p"); $result ->bindParam(':p', $q, PDO::PARAM_INT); $result->execute(); $rows = $result->fetch(PDO::FETCH_NUM); echo $rows[0]; the echo seems to be returning the ID value of the record, not the number of records returned by the query? any idea or explanation for this? 回答1: PDO::FETCH_NUM: returns an array indexed by column number as returned in your result set, starting at column

问题 I have a RecyclerView and GridLayoutManager with 2 columns. How can I force LayoutManager to be according with template on the first screenshot? Now I have result as on the 2th screenshot. Need result: Current result: 回答1: GridLayoutManager will use a grid, and you can set some span, but not different heights for different cells. What you want is a StaggeredGridLayoutManager. This will just put the items on the screen if they fit, leading to your needed result. You can also change the

问题 I have the following table (the number of the references is variable): Id | FK_ID| Reference | ----------------------- 1 2100 GI2, GI32 2 2344 GI56 And I need the following result: Id | FK_ID| Reference | ----------------------- 1 2100 GI2 2 2100 GI32 3 2344 GI56 Is there any short way to transform the data like this using DB2? 回答1: You really should not be storing data like this. Fortunately, there is a way to undo the damage with recursive SQL, something along these lines: WITH unpivot (lvl

问题 I have following DF col1 | col2 | col3 | col4 | col5 | col6 0 - | 15.0 | - | - | - | - 1 - | - | - | - | - | US 2 - | - | - | Large | - | - 3 ABC1 | - | - | - | - | - 4 - | - | 24RA | - | - | - 5 - | - | - | - | 345 | - I want to collapse rows into one as follows output DF: col1 | col2 | col3 | col4 | col5 | col6 0 ABC1 | 15.0 | 24RA | Large | 345 | US I do not want to iterate over columns but want to use pandas to achieve this. 回答1: Option 0 Super Simple pd.concat([pd.Series(df[c].dropna()

问题 I have a dataframe, and for each row in that dataframe I have to do some complicated lookups and append some data to a file. The dataFrame contains scientific results for selected wells from 96 well plates used in biological research so I want to do something like: for (well in dataFrame) { wellName <- well$name # string like "H1" plateName <- well$plate # string like "plate67" wellID <- getWellID(wellName, plateName) cat(paste(wellID, well$value1, well$value2, sep=","), file=outputFile) } In

问题 I have a dataframe, and for each row in that dataframe I have to do some complicated lookups and append some data to a file. The dataFrame contains scientific results for selected wells from 96 well plates used in biological research so I want to do something like: for (well in dataFrame) { wellName <- well$name # string like "H1" plateName <- well$plate # string like "plate67" wellID <- getWellID(wellName, plateName) cat(paste(wellID, well$value1, well$value2, sep=","), file=outputFile) } In

问题 If I have a table, let's say Customers and I want to receive from the user a number (Form) and create X rows in the Customer table. Let's say the customer put the number 4 I want 4 new rows at the Customer Table. How can I do this? insert into Customer Valus ('Helen' , 36 ) 回答1: You could use a stored procedure and then pass the number of customers you want added. Something like this... create procedure AddNewCustomers @NumberOfCustToAdd int as declare @counter int set @counter = 0 while