I have a dataframe similar to this one I would now like to slice the df based on multiple values from column ‘categorie’ and am currently using In addition to that I would like to be able to only get the [-1] row back for categorie ‘a’ instead of I think the closest would be to think about it as
Tag: dataframe
How to extract key value from deep dictionary in pandas || Python || dataframe
I am making a request call and storing data into JSON, and from there I am loading JSON to pandas DataFrame, good thing is it works like magic. However, unfortunately, I have deep dictionaries available in a few columns in the data frame. I am unable to extract key values from it. I am attaching the CSV file with a
How to group by a dataframe and concatenate by a column
I have a df with the following structure: Store Sku Value 1 A 20 2 A 20 1 B 10 2 B 25 And I have to transform it, so that the stores with the same sku and same value, end up concatenated in a cell with a “-” separator like the following. Store Sku Value 1 – 2 A
skip na while removing consecutive same numbers in a column in python
I have to remove the consecutive same number from the column in a dataframe. I am able to remove the number one time, but when I try to do it for the second time the loop does not work as there is one na value in between. dataframe is I dont know why the last line of code i.e. elif
Python pandas dataframe with daily data – keep first and last rows per month
I have a Python pandas dataframe that looks like this: I want to keep the first and the last row per month. How can I do that? I tried using the following code: but I don’t get the results I want. Answer pandas groupby operations don’t sort each group prior to aggregation, which is why ‘first’ and ‘last’ are not
Append new level to DataFrame column
Given a DataFrame, how can I add a new level to the columns based on an iterable given by the user? In other words, how do I append a new level? The question How to simply add a column level to a pandas dataframe shows how to add a new level given a single value, so it doesn’t cover this
How to replace images path in xlsx with original images using python [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 5 months ago. Improve this question I have an excel file where one field has an image path. below is the sample excel file I have
How do I add the counts of two rows where the values in the columns are swapped with respect of the other?
I have a Dataframe as follows: I have to count how many pairs of Sources and Targets there are. (1,0) and (0,1) will be treated as duplicate, hence the count will be 2. I need to do it several times as I have 79 nodes in total. Any help will be much appreciated. Answer To count pairs regardless of their
Two constraints setting together in optimization problem
I am working on an optimization problem, and facing difficulty setting up two constraints together in Python. Hereunder, I am simplifying my problem by calculation of area and volume. Only length can be changed, other parameters should remain the same. Constraint 1: Maximum area should be 40000m2 Constraint 2: Minimum volume should be 50000m3 Here, I can set values in
Pandas: I want make a new column based on a series
What I want is just to add a column that copy the value of tmp with respect to serial number of c2 and map to c1. Expected result: The length of c1 sequence and c2 sequence are the same. Longer sequence for reproduct: Answer Use Series.map with DataFrame.drop_duplicates, because c2 has duplicates: Details: Solution with merge: EDIT: If need mapping