I have a pandas dataframe From To A B A C D E F F B G B H B I G J G K L L M M N N I want to convert it into multi column hierarchy. The expected hierarchy will look like Level_1 Level_2 Level_3 Level_4 A B G J A B G K A B
Tag: dataframe
Get the last day of a year
I have a pandas df with a year column. I want to get the last day of that year. For example: 2020 –> 2020/12/31 I tried: but I get this error: “cannot convert the series to <class ‘int’> ” What am I doing wrong? Thanks PS I realized I could just do: but I’m still wondering what was wrong in
perform df.loc to groupby df
I’ve a df consisted of person, origin and destination the df: I have grouped by the df with df_grouped = df.groupby([‘O’,’D’]) and match them with another dataframe, taxi. similarly, I group by the taxi with their O and D. Then I merged them after aggregating and counting the PersonID and TaxiID per O-D pair. I did it to see how
Split data frame in python based on one parameter shape
I have a data frame which is like the following : In this data frame, there are many repeated rows for example the first row is repeated more than 1000 times, and so on for the other rows when I plot the time distribution I got that figure which shows that the frequency of the time parameter My question is
Filter based on pairs within a group – if value represent at BOTH ends
Within each group there are pairs. In Group 1 for example; the pairs are (2,2),(2,4),(4,1) I want to filter these pairs based on code numbers 2 AND 4 being present at BOTH ends(not either) In group 1 for example, only (2,4) will be kept while (2,2) and (4,1) will be filtered out. Excepted Output: Answer You can approach by making
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:
How to concate a column’s sentences for same subject id in a single row in python dataframe?
if I have a dataset like- As output, I want that the Drug name with the same Subject_ID will concatenate in one row. How can I do that in Python pandas? Answer Group the dataframe by Subject_ID then call agg with ‘, ‘.join as aggregate for DRUG column, and first as aggregate for LOS column.
how to add a constant column to a dataframe without rows
I am trying to add a column with a constant value to a dataframe that does not have any rows. It appears this isn’t as easy as it would be if the rows were populated. How would one accomplish this? Should yield instead it yields Answer You can use .loc specifying the row index and column label, as follows: Result:
Using a for loop with beautiful soup and if statements to populate a dataframe
Goal: The goal of my project is to use BeautifulSoup aka bs4 to scrape only necessary data from an HTML file and import it into excel. The html file is heavily formatted so unfortunately I haven’t been able to tailor more common solutions to my needs. What I have tried: I have been able to parse the HTML file to
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