rows

问题 I have this PHP function which will insert urls into MySQL, but only those which didn't exist until moment of executing. I have a problem, my if condition is simply ignored, so everything goes to database, ignoring the condition. Code is here: function storeLink($url,$gathered_from) { global $conn; $querycheck = "SELECT COUNT(*) FROM test WHERE link = '$url'"; $resultcheck = mysqli_query($conn, $querycheck); $row = mysqli_fetch_array($resultcheck, MYSQLI_ASSOC); if($row['COUNT(*)'] < 1); {

问题 I have a table with 3 columns as shown below: id | num_rows id | num_rows | group_id -----|--------- -----|----------|-------- 2502 | 330 2502 | 330 | 9 3972 | 150 3972 | 150 | 9 3988 | 200 =============> 3988 | 200 | 8 4228 | 280 Desired output 4228 | 280 | 8 3971 | 510 =============> 3971 | 510 | 1 52 | 1990 52 | 1990 | 2 895 | 2000 895 | 2000 | 3 812 | 5596 812 | 5596 | 4 1600 | 7462 1600 | 7462 | 5 910 | 7526 910 | 7526 | 6 638 | 11569 638 | 11569 | 7 id is a unique identifier for

问题 I have a table with 3 columns as shown below: id | num_rows id | num_rows | group_id -----|--------- -----|----------|-------- 2502 | 330 2502 | 330 | 9 3972 | 150 3972 | 150 | 9 3988 | 200 =============> 3988 | 200 | 8 4228 | 280 Desired output 4228 | 280 | 8 3971 | 510 =============> 3971 | 510 | 1 52 | 1990 52 | 1990 | 2 895 | 2000 895 | 2000 | 3 812 | 5596 812 | 5596 | 4 1600 | 7462 1600 | 7462 | 5 910 | 7526 910 | 7526 | 6 638 | 11569 638 | 11569 | 7 id is a unique identifier for

问题 I don't know if this is even possible or perhaps my database is designed poorly and I could have done it a better way? Anyway here goes, I have database with two tables as follows " General Data " and " Assessment Data " - they're set up so that a patient can have a few basic details entered into "General Data" and then each time they have an assessment they have data relevant to that assessment entered into the "Assessment Data" table Sorry about the dodgy formatting! Not enough reputation

问题 Here is a bit of background on what I'm trying to achieve. I have an excel file, which contains 10 sheets and each of the sheets contain many rows of data. This workbook is sent to different people and each one fills in their respective info,only in columns A,B. I have made a vba script which loops through all the filled in workbooks, and checks which rows have cells Ax , Bx filled. Then it copies those in a new workbook. So what I have right now is: A workbook which contains only the rows of

问题 So I am creating a Spring Batch job for reading a CSV file and for certain rows which contain incomplete data; it checks, outputs to the log that the row is incomplete, and skips. It works great except at the end of the job I want it to log how many rows it found that were incomplete. Just something simple like "X incomplete rows were found". I've Googled and searched around for a solution but not found anything really. Any help is appreciated and any more info needed just ask. 回答1: Spring

问题 I know this is simple, but I'm a new user to Python so I'm having a bit of trouble here. I'm using Python 3 by the way. I have multiple files that look something like this: NAME DATE AGE SEX COLOR Name Date Age Sex Color Ray May 25.1 M Gray Alex Apr 22.3 F Green Ann Jun 15.7 F Blue (Pretend this is tab delimited. I should add that the real file will have about 3,000 rows and 17-18 columns) What I want to do is select all the rows which have a value in the age column which is less than 23. In

问题 I want to change a dataframes' index (rows) from float64 to string or unicode. I thought this would work but apparently not: #check type type(df.index) 'pandas.core.index.Float64Index' #change type to unicode if not isinstance(df.index, unicode): df.index = df.index.astype(unicode) error message: TypeError: Setting <class 'pandas.core.index.Float64Index'> dtype to anything other than float64 or object is not supported 回答1: You can do it that way: # for Python 2 df.index = df.index.map(unicode

问题 I am using R and need to select rows with aged (age of death) less than or equal to laclen (lactation length). I am trying to create a new data frame to only include rows/ids whereby the value of column'aged' is less than its corresponding 'laclength' value. df: id1 id2 laclen aged 9830 64526 26 6 7609 64547 28 0 9925 64551 3 0 9922 64551 3 5 9916 64551 3 8 9917 64551 3 8 9914 64551 3 2 the new data frame should look like this: dfnew: id1 id2 laclen aged 9830 64526 26 6 7609 64547 28 0 9925

问题 I'm struggling with a query where I need to SUM DISTINCT Rows. There has to be a way to do this... but I'm lost. Here's what I've got: SELECT DISTINCT Zipcodes.CountyID, us_co_est2005_allData.PopEstimate2005, us_co_est2005_allData.EstimatesBase2000, users_link_territory.userID FROM Zipcodes Inner Join Users_link_territory ON zipcodes.CountyID = Users_link_territory.CountyID Inner Join us_co_est2005_alldata ON zipcodes.FIPS = us_co_est2005_alldata.State AND zipcodes.code = us_co_est2005