As has been pointed out, it doesn't matter what you do, when in the loop you have: for ob_dict_obj in ob_dict_list: print(ob_dict) # wrong! it always print the value for ob_dict and doesn't matter what values you put in ob_dict_list .

Be aware, that in Python 3.x map() does not return a list (so you would need to do something like this: new_list = list(map(my_func, old_list))). Filling other list using simple for ... in loop. Alternatively you could use simple loop - it is still valid and Pythonic: new_list = [] for item in old_list: new_list.append(item * 10) Generators

Apr 19, 2017 · I am trying to create a dictionary by using a for loop. I have an ordered list, and I am trying to match up the values from the list to ordered numbers. For Example: {0: 100, 1: 423, 2: 434} I am just having trouble making the for loop.

Jan 21, 2015 · @stackoverflowuser2010: So my comment means that you shouldn't create a dataframe and then loop over your data to fill it. Every time you use pd.concat you're making a full copy of the data. It's wildly inefficient. Instead, just create a different data structure (e.g. a list of dicts) and then convert that to a dataframe all at once. –

Jun 4, 2015 · To operate on all companies you would typically use a loop like: for name, df in d.items(): # operate on DataFrame 'df' for company 'name' In Python 2 you were better writing. for name, df in d.iteritems(): because this avoids instantiating the list of (name, df) tuples that .items() creates in the older version. That's now largely of ...

Jan 15, 2013 · Create 2d Array in Python Using For Loop Results. 1. Creating arrays with for and while loops - Python 2 ...

Then use a separate for loop to view each entry or even execute other operations. Here is an example - I have a number of network switches (say between 2 and 8) at various BRanches. Now I need to ensure I have a way to determining how many switches are available (or alive - ping test) at any given branch and then perform some operations on them.

We can create a for loop and pass all the numeric columns into it. The loop will plot the graphs one by one in separate pane as we are including plt.figure() into it. import pandas as pd import seaborn as sns import numpy as np numeric_features=[x for x in data.columns if data[x].dtype!="object"] #taking only the numeric columns from the dataframe.

Nov 5, 2024 · Next, the way to process 5 or 10 or 100 items at once is to create a pool of 5 or 10 or 100 workers, and put the items into a queue that the workers service. Fortunately, the stdlib multiprocessing and concurrent.futures libraries both wraps up most of the details for you.

Feb 19, 2017 · I am currently learning Python (I have a strong background in Matlab). I would like to write a loop in Python, where the size of the array increases with every iteration (i.e., I can assign a newly calculated value to a different index of a variable). For the sake of this question, I am using a very simple loop to generate the vector t = [1 2 3 ...