Django Unique Together (with foreign keys)
I have a situation where I want to use the Meta options of unique_together to enforce a certain rule, here’s the intermediary model:
indexing
Increment Numpy array with repeated indices
I have a Numpy array and a list of indices whose values I would like to increment by one. This list may contain repeated indices, and I would like the increment to scale with the number of repeats of each index. Without repeats, the command is simple:
Using an index to get an item
I have a list in python (‘A’,’B’,’C’,’D’,’E’), how do I get which item is under a particular index number?
How to query MultiIndex index columns values in pandas
Code example:
Tuple unpacking order changes values assigned
I think the two are identical.
Generalise slicing operation in a NumPy array
This question is based on this older question:
Explicitly select items from a list or tuple
I have the following Python list (can also be a tuple):
Get column index from column name in python pandas
In R when you need to retrieve a column index based on the name of the column you could do
Get first row value of a given column
This seems like a ridiculously easy question… but I’m not seeing the easy answer I was expecting.
Using monotonically_increasing_id() for assigning row number to pyspark dataframe
I am using monotonically_increasing_id() to assign row number to pyspark dataframe using syntax below: