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How do I filter Columns based on Rows and vice versa?
Filtering Rows based on Column Values
df.loc[df['column_name'] == some_value]
Filtering Columns based on Rows Values
df.loc[:, df.loc['row_name'] <= some_value]
The row name is sometimes called the index in a dataframe because we get the names of the rows via df.index.
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I am trying to compare cell to cell of 2 tables.
There is a situation wherein a record in column C is in row 4 of table 1 while same record is in row 7 in table 2.
Hence during comparison, record in col C and row 4 is giving a mismatch as it's not same in table 2.
In reality, such mismatches are to be ignored since it exists somewhere within table 2 but just in different row.
What is the best way to ignore such mismatches.
I am not able to get with Exist function syntax.
For example record in tbl1."Col C" is to be seen if available in tbl2."Col C" and if this record is not found, then the mismatch has to be reported.
I am not able to get right syntax here either for exist function or sorting 2 tables and then comparing.
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I have a column X of type array(bigint) in Table 1, I need to join table 1 with another table 2 and filter the rows on column X in sparksql. To do this, I need to cast the column X which is array(bigint) to int. How can I do this?
appreciate any help.
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i have only one row with a lot columns in my table. I want to select columns with values greater than zero.
WHERE (col_1 > 0) and ... (col_99 > 0)
It will be too long query, if i want to write all statements. Does it possible to write query with selecting columns with values > 0 ?
Bro flow the method its lengthy by works.
First you unpivot the data and select values where column value > 0
secondly Pivot again and you will get you desire result.
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From the above table, I want to remove the rows that have the duplicate CODE column. Out of the duplicate rows, the row with the smallest ID_CHECK should be retained.
Output:
If I understand correctly, this should be your SQL query:
Select Names, Code, ID_CHECK
FROM
(
Select Names, Code, ID_CHECK,
ROW_NUMBER() OVER(Partition by Name,Code Order By ID_CHECK) as rnk
FROM table
)tmp
WHERE tmp.rnk=1;
Let me know if this works.
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i got this table, and i want to divide all the values on one of the columns except one.
I havent wrote any code about it just looking for an explanation on how to do it, if anyone could help out would appreciate.
In order to modify the content of one column in all rows except one, you can use the following query:
UPDATE tablename SET columName = columnName / 42 WHERE rowId !=42;
WHERE contains the condition that has to evaluate to true, in order for the update to take effect. My example modifies all rows except for those whose rowId column contains the value 42.