I have an xlsx file containing too much data. however the data contains duplicate values in column named UniversalIDS which I wanted to replace it with a randomly generated IDS with Pandas. So far I’ve tried different scenarios which I googled but did not work. for example I tried this: also I tried other alternatives seen on this site like
Tag: dataframe
IndexError: single positional indexer is out-of-bounds
I have a dataframe that contains a few rows. I want to access one by one row and create another data frame with specific columns. After that running some other logics but it failed before that. Dataframe df_input_data Access row using iterrows(): Output: Creating another dataframe: issue is df_src_input is empty. Is there any other way to assign value to
Merge number of records to dataframe based on end date and start date of individual record
I have these two initial tables: Table1: CustID StartTime EndTime Area 1 12/1/2022 4:00:00 PM 12/1/2022 4:05:00 PM ABC 2 12/1/2022 4:02:00 PM 12/1/2022 4:03:00 PM ABC Table2: Area StartTime EndTime ABC 12/1/2022 4:01:26 PM 12/1/2022 4:02:00 PM ABC 12/1/2022 4:02:05 PM 12/1/2022 4:02:55 PM ABC 12/1/2022 4:04:10 PM 12/1/2022 4:05:00 PM I need to end up with this: Table3:
How to visualize Classification using pandas and matplotlib?
I’m trying to classify a dataset using python with pandas. The iris flower dataset consists of 50 samples from each of three species of Iris and contains four features.The goal is to distiguish between the species of irises based on these features. Question: Generate a scatter plot with sepal_length feature in x-axis and petal_width feature in y-axis, which shows the
Why can’t I replace Ellipsis using `pd.DataFrame.replace`?
I have this following pd.DataFrame: I am trying to replace the Ellipsis with 1. I know I could do something like: But, for some reason. If I do: Or: I get the following error: Why doesn’t replace allow me to replace Ellipsis? I know how to fix it, I want to know why this happens. The strange thing here is
How to filter based on id which contains specific name in another column in an excel file using Python
I have a excel file containing three columns as shown below, ID Name Date 1136 GG Daubringen 2019-04-08 1136 Manheinm 2020-06-16 1136 Manheinm Streitkof 2020-07-24 1136 Staufenberg 2020-08-15 1136 Stürcken 2021-03-05 1136 Stürcken (FTTH) 2021-09-13 1234 Lerbeck 2019-04-18 1234 BAd oyehausen 2020-06-26 1234 Werre Park 2020-07-14 1234 Werre Park (FTTH) 2020-08-25 1234 Werre Park (FTTH) 2021-03-15 1234 Bad oyehausen 2021-09-23
Applymap on all but one Pandas DataFrame?
I have a DataFrame df that looks like this: I would like to change each element of each column except for the first to its corresponding integer ASCII code (i.e. “M” gets mapped to the integer 77, “A” gets mapped to 65, etc.). I can achieve this result with the following: Is there a better way to do this? There
Pandas get rank on rolling with FixedForwardWindowIndexer
I am using Pandas 1.51 and I’m trying to get the rank of each row in a dataframe in a rolling window that looks ahead by employing FixedForwardWindowIndexer. But I can’t make sense of the results. My code: results: By my reckoning, it should look like: I am basing this on a backward-looking window, which works fine: Any assistance is
Capturing one column values with another corresponding column values in pandas
I have got the dataframe above where costs and their corresponding probabilities are given. What I want is the following output. Any help would be greatly appreciated. Answer Here’s a way to do it: Output: Explanation: create a new dataframe that pairs cost and prob for m1, m2 and m3 and sorts in reverse create another dataframe using a list
One to many mapping with a ChainMap Dictionary
I would like do a one to many mapping with the following list and mapping dictonary: This is my dataframe: When I do the mapping as follows: The problem is that I want to do a one to many mapping and I don’t capture the relationship. The desired outcome would be something like this. Which creates a new line when