I am facing a weird issue, I have a column name ‘window’ in a data frame and it has a list of values i.e., [3,9,45,78]. I am trying to explode this column using df.explode(‘window’) but this is doing no job. datatype of ‘window’ column is object. I have checked my pandas ve…
Tag: dataframe
Python replacing partial matching text based on a list of elements in data frame
I have built a dataframe that extracts data through a scraper. I extracted job positions, and currently, this column contains job positions as follows: I would like to replace these titles with the following titles: How can I look for partial text and replace it? I don’t want to fully replace the text i…
Comparing data between two CSV files to move data to a third CSV file
I have this csv file, file1.csv: Then file2.csv: For every line in file2.csv that has ‘CORP’, ‘STORE’, or ‘NEWS’, I already searched through file1.csv and created a file, such as STOREall.csv, CORPall.csv, and NEWSall.csv. I want OUs, such as ICECREAM, SECURITY, and DELI to…
Select only available rows of a pandas dataframe
Let say I have the following pandas df Now I have another array Clearly, the element ‘x’ is not available in my original df. How can I select rows of df based on select but choose only available rows without any error? i.e. in this case, I want to select only rows corresponding to ‘c’ …
Python Trim Multiple Column Names of a dataframe
I have data frame of 20 columns. All of them have a common text and a serial number. I want to trim the text part and make the name shorter. Below is an example: Expected output: Solution1: Solution2: Solution1 works fine but I have to prepare an old and new column names list. Instead, I want to iterate throu…
Pandas groupby counting values > 0
I have a pandas df of the following format I am looking to transform it such that I land up with the below result Essentially for “HIGH_COUNT” and “LOW_COUNT” I want to count the number of occurrences that column was greater than 0, grouped by “MATERIAL”. I have tried to do…
Pandas, convert values of DataFrames into tuple-DataFrame
I have a DataFrame: and a second DataFrame: and i need this two Dataframes to become this one DataFrame: I need nice little tuples, all together in one frame. How is that possible? Answer Create tuples in both DataFrames and join by +: Or join by concat and aggregate by index tuple:
Pandas apply/lambda on multiple columns
I have a simple script transforming data in a dataframe: The above seems to work fine. I have tried rewriting the last two lines to: However, this fails and gives a value error: I am trying to understand why it can’t be used in the above way. My pad_value function seems clunky – I wonder if there …
How to drop rows from a pandas dataframe based on a pre-made list
I have a big dataset. It’s about news reading. I’m trying to clean it. I created a checklist of cities that I want to keep (the set has all the cities). How can I drop the rows based on that checklist? For example, I have a checklist (as a list) that contains all the french cities. How can I drop
Draw longest possible vertical line between two curves in seaborn
I currently have a plot like this (consider that data is the dataframe I pasted at the very bottom): Which produces: Now, I want to know how can I annotate a line in this plot, such that it is located between the curves, at the x-Axis value where the distance between curves are maximized. I would also need to…