I have a dataframe that looks like the below. You can see that, to start, the SMA column is a duplicate of the Index Value column intentionally. I’m trying to adjust the SMA column so that it will be the result of a simple calculation, something to the effect of the below, which I believe would require a loop of some kind:

I have a dataframe that looks like the below. You can see that, to start, the SMA column is a duplicate of the Index Value column intentionally. I’m trying to adjust the SMA column so that it will be the result of a simple calculation, something to the effect of the below, which I believe would require a loop of some kind:

I have a dataframe that looks like the below. You can see that, to start, the SMA column is a duplicate of the Index Value column intentionally. I’m trying to adjust the SMA column so that it will be the result of a simple calculation, something to the effect of the below, which I believe would require a loop of some kind:

I have a dataframe that looks like the below. You can see that, to start, the SMA column is a duplicate of the Index Value column intentionally. I’m trying to adjust the SMA column so that it will be the result of a simple calculation, something to the effect of the below, which I believe would require a loop of some kind:

I have a dataframe that looks like the below. You can see that, to start, the SMA column is a duplicate of the Index Value column intentionally. I’m trying to adjust the SMA column so that it will be the result of a simple calculation, something to the effect of the below, which I believe would require a loop of some kind:

I have a table with users and times of their actions

I have a list of subcategories and a dataframe. I want to filter out the dataframe on the basis of each subcategory of the list.