how to remove the value heading in pivot table in pandas? - pandas

I want to create a pivot table and for that I have written the code below
pvt_df = df1.pivot_table(index=["Title"],values=['Rating'],columns=["Gender"], aggfunc='mean')
pvt_df.head()
I am getting the output as
but I want the desired output as
I just want to remove the "Rating" which is values heading.I tried few but couldn't get it.Can anyone please help me with this, It would be a great help

Ok, Somehow I could find my answer after looking into this https://pandas.pydata.org/docs/user_guide/reshaping.html.
If you have a value heading above all.You can get rid of it by using below
I just wrote this
pvt_df["Rating"].head()
After adding this I got my desired output

Related

BigQuery How to fill column looking the previous values of the same?

Good morning, guys. How are you?
I need your help to understanding how to solve this problem, please.
I need fill column, that is being created, looking to previous values of the same column. Like this:
Any help will apreciate. Thank you!

PG admin shows empty data output

My query is apparently correct and I should get outputs given the fact that the data output board shows the column and the number of values per column, but it doesn't display the values.
Any help is welcome, looking forward to solving this, thank you!
A screenshot for clarity:
try to use explain (shift+f7) button to see how many rows ur query match

How to add constraints with a large amount of objects in SQL query?

I want to get output from a SQL query by adding
WHERE ID IN (
15325335122,
85962128962,
12354789522,
64125335125,
64523578945,
12354784589,
......
........)
This list contains over 9000 rows, I'm wondering if there's an easy way to add them in the where statement since I don't want to copy and paste and add comma one by one. I'm new to SQL, can someone help me? Thanks in advance.
I've figured out the solution by following this instruction
In excel, select the cell next the first cell next to the first item on the right, then enter =A1&","

Top/Bottom 10 Entries from Each Group/Category Excel?

anybody knows how to find top/bottom 10 entries from each category? I found a partial solution for my problem from this StackExchange question , and it works great, except that it only shows the TOP values, not the BOTTOM values.
Anyone can tell me how to do the same for bottom values? I know it requires me to change some of the syntax, but I tried for hours but didn't find any.
Any help is greatly appreciated.
Thanks!
If your data is in excel's table try the following:
Create a Rank Column which will rank each value through your category
=COUNTIFS([Category],[#Category],[value],">"&[#value])+1
Create another column which calculates max value for the category, it is an array formula so, hit ctrl+shift+enter to execute it:
=MAX(IF([Category]=[#Category],[RANK]))
Create third column to decide top and bottom values based on previous 2 columns, in my example the column is either 1 or 0 to indicate relevant rows:
=IF([Category]=[#Category],IF(OR([#RANK]<=10,[#RANK]>=[#Мах]-10),1,0))
You'll end up with something like that:
Hope that helped

How can I create a column of running values?

I have been creating reports to get use to the tools available etc.
I have come across an issue where I cannot get a column of running values to appear correctly.
I have circled the column where I want the running values to be displayed based on the values in "Min Heads" column.
I have tried this expression:
=RunningValue(Fields!DefaultValue.Value, Sum, "Tablix")
Where Tablix is the Matrix, this calculated the running values for each row. I have tried changing the scope to the row's group and dataset but haven't had any luck.
I would really appreciate it if someone could tell me what I am doing wrong and could tell me how to create the expression for the results I require.
Try setting the scope of the function to the name of the Min Heads column. So it would be something like this:
=RunningValue(Fields!DefaultValue.Value, Sum, "Min_Heads")
I think that the scopes you have tried are too wide, or simply not valid for this.