I am facing some difficulties using merge function in Pandas. I am looking for some kind of Vlookup formula to assist me on this. However, I couldn’t solve my problem. My data is huge and I couldn’t share here due to confidential. However, I try to came up with similar data here. Old Code New Code Name Invoice Date 1001011
Tag: merge
python3 join lists that have same value in list of lists
I have similar question to one that has been asked several years ago, the link is down here. the thing is that all answers are in python 2 and does work for me. my lists are huge so time is important. if anyone can solve that for python3, that will really help. Consider this list of lists: I want to
How to set merge and normalize multple dataframes for pd.merge_as_of
I am trying to merge multiple dataframes using pd.merge_asof. They all contain 2 columns with datetime as index column and a variable column with floating values. They are not balanced in their indexes and times so I have to normalize the values. I can succesfully merge the dfs and normalize the values like this using Now what I want to
Pandas merge stop at first match like vlookup instead of duplicating
I have two tables, PO data and commodity code data. Some genius decided that some material group codes should be the same as they are differentiated at a lower level by GL accounts. Because of that, I can’t merge on material groups, as I’ll get duplicate rows. Assume the following: As you can see, PO 123456 shows up twice, as
How to merge CSV files such that rows with a unique identifier are added into the same row of the output?
I’m using Python to merge 4 headerless CSV’s into one output file. Each CSV has a unique number in the first column as shown in the 2 example CSV files below: 1.csv 2.csv I have generated the output from these CSV’s using the following code. This works fine and outputs a file. The data ends up as follows Is there
Merge dataframes with mirrored values
I have a dataframe which stores measurement points of an circular area. So each point has a Radius_mm and Angle_deg value. As a visual representation of the data, I would now like to create a section through the surface. I.e. I choose one angle and the corresponding angle that lies at 180° to it, including the center. The x-axis should
Is there a way to merge on Interval Index and another Column Value in pandas?
So I currently have 2 dataframes. These have different columns and what I have been trying to figure out is how to merge on an interval index as well as a unique ID value. Below are 2 different examples of the dataframes I have: Creating the dataframe: Creating the dataframe: What I want to do is to be able to
Join two data frames by searching & matching exactly same strings
I have two python dataframes: one of them have a column has a row ‘AC-2’ another data frame includes columns which has a string row ‘AC-20,AC8,AC-15’ First dataset: second dataset: I found: above there is a matching between AC-2 for dataset1 and AC-20 in string for dataset 2 but they are different thing in my dataset. my desired output: I
pandas join tables on two columns without ordering of values
I would like to achieve what it’s described here: stackoverflow question, but only using standard pandas. I have two dataframes: Fist Second: I want to join the two dataframes such that my final dataframe is identical to the first one, but it has also the book_count column with the corresponding values (and NaN if not available). I already wrote something
How to read video file using Foundry Nuke Python interpreter?
I try to merge 2 videos in Nuke. When I’m doing it in GUI everything is OK but when I’m doing it in python interpreter the result contains only the first frames of each video. What am I doing wrong in the code below? Answer Info for developers – ☢️ NUKE reads in video’s last frame value as 1 by