I have a dataframe df_params. It contains parameters for the stored procedure. I simply want to access the elements of the dataframe in a loop: But it gives me an error without really explanation: The goal is to supply value to the stored procedure: desired outcome from print(query): Answer pandas.DataFrames don’t behave exactly like numpy.ndarrays. There are basically three options:
Tag: loops
loop over rows of csv and put inside code
I am trying to read 5 columns from a 6 column csv data and use each row in a formula and itarete for all the rows. the file is csv file is something like this with hunderds of rows when I put values by hand it works all in well. However, when I put the df columns to do it
changing the name of a function in a loop
I didn’t find the answer my problem I have function with names stage_1(), stage_2() e.t.c (to 8). Can I run it using loop? I know this is wrong. what is the right way? Answer I have function with names stage_1(), stage_2() e.t.c (to 8). Actually this is a very bad idea. Can I run it using loop? For sure! You
Iterating through list of lists of lists
I am trying to iterate through a 3-D list in python(not numpy but I am willing to convert to a numpy array if this makes it easier) in such a way that from a list like this: I can get the output I can’t figure out how to make it iterate like this… My code: I’ve tried different things but
how to get nth chunks of items of a list in python?
I would like to get every 4 chunks of a list of items, where the first item has the index corresponding to 4-1, so a previous step. I am only able to get every 4 chunks, but I am stuck at getting every item of the list to start at a “previous step” or 4-1. Should I loop through this
Changing specific elements in a list of list of numpy arrays
I have a list of lists of numpy arrays. I would like to loop through the list of lists and change certain elements. Below is an example, but just with integers: The i==j element has been changed to something else. When I run the exact same code logic, but with 2×2 numpy arrays, I cannot get it to do the
Problem with counting times a parameter is in a certain range
I am trying to count how many times a value, “i”, is in the range i<0.5. I am counting from a csv file. To be clear, I only want the number of times to be appended to a dictionary. I will post my code and the result I get. the result I want is like this:(86 is a place holder,
Creating a function to standardize categorical variables (python)
I don’t know if it is right to say “standardize” categorical variable string, but basically I want to create a function to set all observations F or f in the column below to 0 and M or m to 1: I tried this: But I got an error: Any ideas? Thanks! Answer There is no replace function defined in your
Given a string, print its even-indexed and odd-indexed characters as space-separated strings on a single line
Given a string, print its even-indexed and odd-indexed characters as space-separated strings on a single line. Example: s = adbecf => Print abc def My approach: Answer No need to use complex ways. here is a easy way to do it. Input: adbecf Output: abc def
How would I perform an operation on each element in an array and add the new value to a new array in Python?
I have an array of ten random values generated using Numpy. I want to perform an operation on each element in the array by looping over all ten elements and then add the result of each to a new array. The first part of looping over the array but I am stuck on how to add the result to a