Assume I have the dataframe df and I want to slice this in multiple dataframes and store each in a list (list_of_dfs). Each sub-dataframe should only contain the rows “Result”. One sub-dataframe starts, when in column “Point” the value “P1” and in column “X_Y” the value “X” is given. I tried this with first finding the indicies of each “P1”
Tag: slice
Filter column for multiple values but only select the last one for one criteria
I have a dataframe similar to this one I would now like to slice the df based on multiple values from column ‘categorie’ and am currently using In addition to that I would like to be able to only get the [-1] row back for categorie ‘a’ instead of I think the closest would be to think about it as
What is the python code equivalent of slicing a list in dart other than using the SUBLIST method?
I understand that the sublist method works similar to slicing, but what are some other ways i can get similar outputs? For example List = [1,3,5,7,9] Python code ListSliced = List[1:] Using sublist in dart ListSliced = List.sublist(1); Is there a equivalent of List[1:] in DART?? Any ideas on whats causing this error Full code for the tree program. Answer
Removal of data /indices values(range) from a tensor tensorflow
Consider the following tensor The output of the above tensor is Now I want to remove, lets say the first value , i.e., 1.3, remove values from indices starting from 4 to 6 and from value 0.25 onwards [12:] The output shall be Can it be done? Thanks in advance Answer Sure, have a look at tensor slicing. In your
Pandas get elements from a column containing list of values using index slicing
Posting minimal reproducible example I have a dataframe say I need to create a new column where values will be only from the alternate index. This is what I tried, but this does not work P.S : There are numerous ways in which this can be achieved I am looking for a more pandaic approach Answer You may need to
Why does my slice do not change the values of the pointed dictionary in list but changes the values of all the dictionaries in my list?
I am trying to change only one out of three identical dictionary in my list using a for loop to slice out exactly the 2nd dictionary on my list. But somehow the values of all the 3 dictionaries in my list change as if i did not slice it correctly. What am I missing? Code: Actual Output: Expected Output: Answer
Pandas – Specify Slice + Additional Column Label in loc()
When using loc, it seems I can either specify a list with separate column labels or a slice. However, can I combine a slice with an additional column label and -if so- how? I tried but this throws a syntax error… Answer Solution with loc
Slice pandas row of a specific column using numpy boolean
The objective is to slice multiple pandas row of a specific column using a Numpy boolean. The following code should do the task However, I wonder whether the above code can be shortened further, especially these lines Currently, Pandas throw an error if I am to directly using Numpy boolean without converting to list Is there something I miss, or
How to filter Selenium results setting a query limit?
I managed to get the data I wanted with selenium, but now I only need the first 17 data that it gives me, I need to make a kind of filter with this data, because I’m going to use conditions on top of them to use in another code. My result is below As you can see he gave me
How do you slice a cross section in pandas or numpy?
I have the following data frame which can be copy/pasted and made to a data frame with: df = pd.read_clipboard() I would like to take a cross section from it, I want something like say: [1, 4, 9, 1, 10, 6, 4, 0, 4, 6, 10, 1, 9, 4, 1]) which is index df.loc[1, 0], df.loc[2, 1], df.loc[3, 2], df.loc[4,