I’m performing 2 big for loop tasks on a dataframe column. The context being what I’m calling “text corruption”; turning perfectly structured text into text full of both missing punctuation and misspellings, to mimic human errors. I found that running 10,000s rows was extremely slow, even after optimizing the for loops. I discovered a process called Batching, on this post.
Tag: for-loop
Comparing two Dataframes with diff length to find difference in specific column
i have 2 dataframes have same columns with different len. the reuslt i want to get: and each df have length like this. each dataframe has column named ‘name, id, type, len’ i need to check those columns(name,type,len) in each df to compare ‘id’ column whether it has same value or not. so i tried like this. I have above
Convert dictionary into dataframe (with repeated keys as rows)
I’m trying to convert the following dict: partlistzonesdef (has 50 keys) into a dataframe: Lets say we have the dict: How can I convert that to a dataframe like this: And so on? Answer Create a Series and transform each element of the list to a row with explode then reset_index to get expected outcome: Output:
For doesn’t restart on dataframe in python
i need do read the rows of a dataframe but it seems to stop at the first row. I also tried with iterrows but the results are similar. and the outpus is : so the for doesn’t iterate. I hope someone can help me, thank you so much. Answer You are performing inside the loop. This breaks the loop on
Iterate through nested dictionary values and return an ordered list based on dict’s values
I have a nested dictionary titled ‘transportation_costs’ that contains the transportation costs associated with every facility-customer combination. I need to iterate through each customer (key2) in the dictionary and generate five ordered lists (one for each customer) that contains the facilities ranked from cheapest to most expensive for a given customer based on the value in the nested dictionary. ***
Delete columns of a nested list with list comprehension
How would I write this for loop as a list comprehention? This is the list: I want to delete row 4 and 5 I did try this but it just gives me a syntax error Any idea how to do that with a list comprehension? Answer You can slice the list upto index 3: If that is what you want.
Formatting the print statement for multiple numpy arrays inside a dictionary Python
I am trying to modify my print statement within the for loop below so that it iterates through the list and the dictionary and prints the values of the first and second numpy arrays. In accordance to the Timeframes list. How can I modify the print statement below to get the Expected output below? Expected Output: Answer If you make
Python: Determining period of the day based on hour using a for loop and conditionals
I would like to name the period of the day based on hourly information to my dataframe. For this, I am attempting the following: However, when double-checking if the length of my day_period list is the same as that of my dataframe (df)… they differ and they shouldn’t. I can’t spot the mistake. How can I fix the code? Here’s
I’m trying to print the largest number from the inputs that the user gives, but it’s printing the wrong number
Basically, I’m trying to build a code to get the largest number from the user’s inputs. This is my 1st time using a for loop and I’m pretty new to python. This is my code: When I try running my code this is what happens: Any fixes? Answer So, first things first, the use of max can be avoided, as
How do I iterate over two lists?
I have troubles in using for loops in Python. I wrote this code: and the output is: But I would like the output to be: Is there a way to make the for loop iterate over first “Mary” and “she” and then “Joe” and “he” ? I thank you in advance. Answer Why, you can go with zip(). Here is