I have a huge pandas dataframe 150000 x 330 and I well find columns that have lists [] I have tried but it only returns column names. Answer You can try: Demo You can also find the list of columns with list as follows: Output:
Tag: dataframe
Boolean Masking on a Pandas Dataframe where columns may not exist
I have a dataframe called compare that looks like this: Resident 1xdisc 1xdisc_doc conpark parking parking_doc conmil conmil_doc pest pest_doc pet pet1x pet_doc rent rent_doc stlc storage trash trash_doc water water_doc John 0 -500 0 50 50 0 0 3 3 0 0 0 1803 1803 0 0 30 30 0 0 Cheldone -500 0 0 50 50 0 0
How to set a numpy array in a pandas data frame cell?
I have a pandas dataframe. I want to fill some of the cells with numpy array but I get the following ValueError. I wil not fill with zero array in real life. This is the simplified example code to replicate the error ValueError: could not broadcast input array from shape (10,) into shape (1,) Answer One workaround solution is to
Pandas: Cannot address column from previously merged multi level data frame
After an data frame aggregation with group by I’m trying to “flatten” the headers into one to properly export the data as CSV: The output looks like that: If I call the data frame directly, I get a different information: Output: It seems like pandas merged the column names, but I still have two levels of column description. If I
How to iterate over dataframe such that all rows which have a specific column value in common are saved to their respective files?
This questions was a little harder for me to phrase so I request to help edit the question which would make more sense (if necessary). Problem Statement: I want all the rows which have a specific column value in common, saved to same file. Example Code I want to do something like this. Say, I have a dataframe: I want
Using groupby and querying that group
I have a dataframe that I would like to group by one column (dadate) and then query another column (Place) to count only those with the value 1. The above is what I have tired with the error “‘DataFrameGroupBy’ object has no attribute ‘query'” Answer Create the Boolean Series then sum that within group to see how many Places ==
reduce() to merge if there are blank DataFrame
I want to use reduce() function to merge data. However, sometimes some dataframe df1 to df8 might be blank (but there is at least one dataframe not be blank). And I do not want to detect which one. For example, this time df1 to df7 are blank and only df8 is non-blank. Next time df1, df2, df5 are non-blank. How
How to sort aggregated numpy array?
My first post on stackoverflow + am very new to programming. Apologies in advance for any poor formatting and missing information. :) I aggregated two columns in a csv file (one column of seller names, the other of transactional amounts) to find how much each seller has made in total: I want to sort it in descending order to find
How can I get unique values from csv?
I have a small question. How can I print all the texts belonging to that author by selecting the author from the csv that I read with the pandas below, can you help with the python code? (ex. I want to display all texts where eap is author.) Thank you! Answer Hey try out using loc() to get back the
Find Word in a csv file and implement it using loops
I am having a dataframe named df which is having two columns, Now what i am trying to implement is I am trying to find out company name where “gc” word exists and store it into new dataframe df1. but this code is showing error Answer The error you’re getting is because df[‘Company name’] is not iterable, you cannot index