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Querying Column Headers in GBQ


Querying Column Headers in GBQ

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Querying Column Headers in GBQ
Tag : sql , By : Gipsy.D
Date : November 28 2020, 04:01 AM

Does that help I am assuming your files are in CSV format so schema of table does not have repeated fields. With this in mind - below is for BigQuery Standard SQL and requires just fully qualified table name
#standardSQL
SELECT 
  REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r'"(.+?)"') cols_as_array,
  ARRAY_TO_STRING(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r'"(.+?)"'), ',') cols_as_string
FROM (SELECT 1) LEFT JOIN 
  (SELECT * FROM `project.dataset.table` WHERE FALSE) t
ON TRUE  
#standardSQL
SELECT 
  REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r'"(.+?)"') cols_as_array,
  ARRAY_TO_STRING(REGEXP_EXTRACT_ALL(TO_JSON_STRING(t), r'"(.+?)"'), ',') cols_as_string
FROM (SELECT 1) LEFT JOIN 
  (SELECT * FROM `bigquery-public-data.utility_us.us_states_area` WHERE FALSE) t
ON TRUE  
Row cols_as_array           cols_as_string   
1   region_code             region_code,division_code,state_fips_code,state_gnis_code,state_geo_id,state_abbreviation,state_name,legal_area_code,feature_class_code,functional_status_code,area_land_meters,area_water_meters,internal_point_lat,internal_point_lon,state_geom   
    division_code        
    state_fips_code      
    state_gnis_code      
    state_geo_id         
    state_abbreviation       
    state_name       
    legal_area_code      
    feature_class_code       
    functional_status_code       
    area_land_meters         
    area_water_meters        
    internal_point_lat       
    internal_point_lon       
    state_geom    

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Querying Two Tables & Using Record Data as Column Headers in Access?


Tag : ms-access , By : Nandor Devai
Date : March 29 2020, 07:55 AM
this one helps. If I understand the question correctly, you would like to present the count of records from both tables, with the handset type and source table as column headings, for each site ID.
The first step is to merge your tables into a single table, creating a column which expresses the handset type and source table:
SELECT Handset_Type & " in T1" as TypeFromT, Handset_Site_Id FROM [Table 1]
UNION ALL
SELECT Handset_Type & " in T2" as TypeFromT, Handset_Site_Id FROM [Table 2]
TRANSFORM Count(SubQry.Handset_Site_Id) AS SiteIDCount
SELECT SubQry.Handset_Site_Id
FROM (
    SELECT Handset_Type & " in T1" as TypeFromT, Handset_Site_Id FROM [Table 1]
    UNION ALL
    SELECT Handset_Type & " in T2" as TypeFromT, Handset_Site_Id FROM [Table 2]
) AS SubQry
GROUP BY SubQry.Handset_Site_Id
PIVOT SubQry.TypeFromT;

sql result with numbers as column headers, how to call with with PHP or change sql column headers for pivot


Tag : php , By : nabbed
Date : March 29 2020, 07:55 AM
it fixes the issue If you want to alias your columns then you would have to use something like the following, where you place your alias in the final select list:
select section, 
  [0.9] as a,
  [1.2] as b
from t 
pivot 
( 
  avg(stock) 
  for length in ([0.9], [1.2])
) piv

Encompassing same subset of column headers under N number of parent column headers Pandas


Tag : python-3.x , By : user184415
Date : March 29 2020, 07:55 AM
To fix this issue I think need MultiIndex created by MultiIndex.from_product:
np.random.seed(1256)

dates = pd.date_range('2018-01-12', periods=10)
c= pd.MultiIndex.from_product([dates, ['Morning','Afternoon','Night']])
df = pd.DataFrame(np.random.randint(10, size=(52,30)), columns=c)
print (df.head())

  2018-01-12                 2018-01-13                 2018-01-14            \
     Morning Afternoon Night    Morning Afternoon Night    Morning Afternoon   
0          1         5     8          8         9     3          6         3   
1          0         7     2          8         2     4          8         3   
2          6         9     4          2         8     7          1         6   
3          1         8     9          1         6     3          4         9   
4          7         8     7          0         6     3          0         2   

        2018-01-15  ...  2018-01-18 2018-01-19                 2018-01-20  \
  Night    Morning  ...       Night    Morning Afternoon Night    Morning   
0     0          6  ...           4          9         4     6          1   
1     5          5  ...           2          4         7     4          0   
2     3          2  ...           3          2         4     1          5   
3     1          3  ...           0          2         1     3          7   
4     0          7  ...           8          2         1     5          0   

                  2018-01-21                  
  Afternoon Night    Morning Afternoon Night  
0         7     7          5         8     3  
1         4     9          6         0     4  
2         4     9          5         2     4  
3         4     8          1         0     2  
4         3     9          1         7     1  

[5 rows x 30 columns]

Wanted: function to remove whitespace from column headers that is robust to column headers not being strings


Tag : python , By : D B
Date : March 29 2020, 07:55 AM
hope this fix your issue You could use a list comprehension, which is quite unusual when working with Pandas as it's usually more efficient to apply built-in Pandas functions (as you've done). But for something as simple as fixing column names, this should be fine:
df = pd.DataFrame(columns=[1, 2, 'A '])
df.columns = [col.strip() if isinstance(col, str) else col for col in df.columns]
In [75]: df.columns
Out[75]: Index([1, 2, 'A'], dtype='object')

UiPath - Options - Add Headers within Read Range adding excel column headers while unselected and not adding column head


Tag : excel , By : Robert MacGregor
Date : March 29 2020, 07:55 AM
wish help you to fix your issue The Read Range activity reads data into a DataTable object. Checking AddHeaders makes sure that columns are present in said object. Here's an example - Read Range writes items into a variable called items of type System.Data.DataTable, and the Write Range activity writes that table back to an Excel (XLSX or XLS) sheet.
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