Selecting columns from string

Selecting columns from string

By : Rafael Cabeza
Date : October 15 2020, 06:10 AM
hope this fix your issue i have a string with my needed columns, which i want to select. For example: , You can try to use dynamic sql
code :
DECLARE @SQL VARCHAR(MAX)=  'SELECT '+  @sqlstring + ' FROM MyTable '

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Selecting string columns in pandas df (equivalent to df.select_dtypes)

Selecting string columns in pandas df (equivalent to df.select_dtypes)

Date : March 29 2020, 07:55 AM
will be helpful for those in need Given a Pandas df with different data types, df.select_dtypes can be very useful to keep only desired columns or to get rid of unwanted columns for a particular application. , Option 1
Using df.applymap and type, and equating to str:
code :
In [377]: (df.applymap(type) == str).all(0)
dict_col    False
int_col     False
str_col      True
dtype: bool
In [342]: df.applymap(lambda x: isinstance(x, str)).all(0)
dict_col    False
int_col     False
str_col      True
idx = ... # one of the two methods above
df_new = df[df.columns[idx]]
df_new = df[df.columns[~idx]]
SQL Query to convert TIMESTAMP to String while selecting the columns

SQL Query to convert TIMESTAMP to String while selecting the columns

By : Naeem Chap
Date : March 29 2020, 07:55 AM
I hope this helps . I am using DB2 database. I have a table and it has two columns as below: , Aniket V's suggestion helped me in figuring out the solution.
code :
select  TO_CHAR(CRDATTIM,'YYYY-MM-DD-HH24.MI.SS.FF6') as CRDATTIM ,recordcd from sample  ;
regex selecting columns that contain string except one

regex selecting columns that contain string except one

By : user7337185
Date : March 29 2020, 07:55 AM
like below fixes the issue I have a pandas DataFrame as shown below. I want to select all columns that end with "_cd" or "_ind" except for the column "final_ind". How can I do that? , You can use filter with regex like so:
code :

# var2_ind  var3_cd
#0      a4       10
#1      a3        5
#2      b1        7
Selecting multiple columns to one string (by date)

Selecting multiple columns to one string (by date)

By : Iris Marie
Date : March 29 2020, 07:55 AM
seems to work fine My pricelist table looks like this: , I would use row_number() function :
code :
select concat(itemcode, ':', 
       stuff( ( select top (1) with ties ',(' +concat(VendorCode, ',', UnitCost ,',', cast(StartingDate as date)) +')'
                from Pricelist
                where itemcode = p.itemcode
                order by row_number() over (partition by VendorCode order by StartingDate desc)
                for xml path('')
               ), 1, 1, ''
from Pricelist p
group by itemcode;
Selecting rows on basis of the string length of two columns

Selecting rows on basis of the string length of two columns

By : user178088
Date : March 29 2020, 07:55 AM
This might help you @agstudy got the most important part. I would add that str_sub (from the stringr package I assume) is not doing anything useful here. Last, you could use subset to avoid the repetitive use of df$. So you can do:
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