I generate a multi-index dataframe that has some NAN values using this: Which will create something like this: I’d like to get rows of a specific subset of top-level columns (eg df[[‘baz’,’qux’]]) that have no nulls. For example in df[[‘baz’,’qux’]] I’d like to get rows 0 and 1 since they both have all nulls in 3. Hoping things would just
Category: Questions
Iterate over column values matched value based on another column pandas dataframe
This is a followup to extract column value based on another column pandas dataframe I have more than one row that matches the column value and want to know how to iterate to efficiently retrieve each value when there are multiple matches. Dataframe is The below will always pick p3 So I tried to iterate like And it prints for
Summing duplicates rows
I have a database with more than 300 duplicates that look like this: I want that for each duplicate shipment_id only original_cost gets added together and rates remain as they are. like for these duplicates: it should look something like this: is there any way to do this? Answer Group by the duplicate values ([‘shipment_id’, ‘rate’]) and use transform on
Pivot and merge two pandas dataframes
I have two dataframes (taken from pd.to_clipboard(), suggest using pd.read_clipboard()) df_a: and df_b: What I am looking to do is add a third column to df_a, say ThirdVal, which contains the value in df_b where the DateField and Team align. My issue is that df_b is transposed and formatted awry compared to df_a. I have looked into pd.pivot() but have
Formatting the print statement for multiple numpy arrays inside a dictionary Python
I am trying to modify my print statement within the for loop below so that it iterates through the list and the dictionary and prints the values of the first and second numpy arrays. In accordance to the Timeframes list. How can I modify the print statement below to get the Expected output below? Expected Output: Answer If you make
Numpy matrix creation timing oddity
My application requires a starting matrix where each column is staggered-by-1 from the previous. It will contain millions of complex numbers representing a signal, but a small example is: I tried two creation methods, one fast, one slow. I don’t understand why the fast matrix creation method causes subsequent calculations to run slowly, while the slow matrix creation results in
regex for finding gene product from the text
What regex should I use for matching such text by far I have tired this pattern: Answer Use See regex proof. EXPLANATION
Kivy: best way to make a single widget containing different widgets and being able to access their properties in the kv file
I’m trying to make a class that would be a Slider + 2 Labels, one label showing the value of the slider, and one showing the name of the slider. The goal is to reuse this in lieu of Slider when convinient. I am ending up creating properties in the my class MySlider reflecting the ones I am interested in
How to count the number of times a combination appears in a binary table in Python?
I need to create a Pandas DataFrame that contains two columns: Combination – contains tuples that describe a combination of products in the binary table (e.g., (“bread”, “eggs”)) Count – contains the number of times that this combination appeared in the binary table The binary table that I keep referring to looks like this. 1 just means that the product
TypeError while executing Binary tree code
I am getting an error while testing the following function. Can anybody help me with this? code: Here’s the test script: And here’s the error I am getting: Please let me know why is this happening? Answer As your largest_leaf_value will return None in its recursion base case, you need to be ready for lres or rres to get None