I’m trying to create a excel with value counts and percentage, I’m almost finishing but when I run my for loop, the percentage is added like a new df.to_frame with two more columns but I only want one this is how it looks in excel: I want that the blue square not appears in the excel or the df and
How to assign conditional value if I want to use pct_change method on some negative values?
I have a dataframe which contains some negative and positive values I’ve used following code to get pct_change on row values df_gp1 = df_gp1.pct_change(periods=4, axis=1) * 100 and here I want to assign some specific number, depending on how the values change from negative to positive or vice versa for example, if the value turns from positive to negative, return
Python: generate 5 random int (every has own range) with fixed sum
Each value in Total has own range (in %). First: find random values (within ranges that is % from Total.). I tried this (but sum() can be >or< than 100): Second:find exact value for a,b,c,d,e (according to the percentage from Total in First part). I tried this: This code does not work. please help Answer I’d start with the smallest
Catch fish by percentage – pygame
I want to create a fishing game. Whenever the player press a button, the game will return a fish. Every fish has a percentage ( small fish , 45% ; medium fish, 25% ; big, 15%; huge, 4.9%; shark,0.1). fish_size = [(“small”,45),(“medium”,25),(“big”,15),(“huge”,4.9),(“shark”,0.1)] How can I get a fish randomly from this list by percentage? Answer If you have a list
How to plot percentage of NaN in pandas data frame?
I’d like someone to help me plot the NaN percentage of pandas data frame. I calculated percentage using this code. It gave me this result. Now, I want to plot the percentage along with the column names of data frame. Can anyone help me? Regards. Updated: The graph looks like this. How to beautify this in order to see the
Python 3: Calculating percentage change with n number of values
I have a function which should calculate percentage increase / decrease between two values. The parameters in the function are original_value and new_value. Problem: I need the program to take n number of values, for example, six values, and then run the function on every pair of values. An example: The values are 1, 2, 3, 4, 5 and 6.
Python – Calculating Percent of Grand Total in Pivot Tables
I have a dataframe that I converted to a pivot table using pd.pivot_table method and a sum aggregate function: I have received an output like this: I would like to add another pivot table that displays percent of grand total calculated in the previous pivot table for each of the categories. All these should add up to 100% and should