This is how my data looks like: I want to aggregate this by category, Issue and Date(weekly) to get count of record. Date: Group, the result should be monday to sunday Count: ADD, if two or more records have same Name and fall in a same week Date time (if falls on same interval 7 days week) The desired output
Tag: pandas
Applymap on all but one Pandas DataFrame?
I have a DataFrame df that looks like this: I would like to change each element of each column except for the first to its corresponding integer ASCII code (i.e. “M” gets mapped to the integer 77, “A” gets mapped to 65, etc.). I can achieve this result with the following: Is there a better way to do this? There
Pandas get rank on rolling with FixedForwardWindowIndexer
I am using Pandas 1.51 and I’m trying to get the rank of each row in a dataframe in a rolling window that looks ahead by employing FixedForwardWindowIndexer. But I can’t make sense of the results. My code: results: By my reckoning, it should look like: I am basing this on a backward-looking window, which works fine: Any assistance is
Is there a way to mimic the pipe operator from R in Python?
See the example below. Is it possible to put each Python operation on a new line? If I have many operations, the code is not all visible. I need to scroll the VS Code window to the right. Thanks Answer In Python, line breaks inside parentheses are ignored, so you could rewrite as: This post may be helpful.
Capturing one column values with another corresponding column values in pandas
I have got the dataframe above where costs and their corresponding probabilities are given. What I want is the following output. Any help would be greatly appreciated. Answer Here’s a way to do it: Output: Explanation: create a new dataframe that pairs cost and prob for m1, m2 and m3 and sorts in reverse create another dataframe using a list
How to remove all Pandas rows of lists if they contain specific values?
I am looking for a way how to drop all the rows that contain any value from a list: Int: Out: I have come up with this solution: which only works with these simplified data, but not in other cases, therefore I am looking for some alternative way. Thank you. Answer Use boolean indexing with set.isdisjoint:
One to many mapping with a ChainMap Dictionary
I would like do a one to many mapping with the following list and mapping dictonary: This is my dataframe: When I do the mapping as follows: The problem is that I want to do a one to many mapping and I don’t capture the relationship. The desired outcome would be something like this. Which creates a new line when
New pandas DataFrame column from datetime calculation
I am trying to calculate the number of days that have elapsed since the launch of a marketing campaign. I have one row per date for each marketing campaign in my DataFrame (df) and all dates start from the same day (though there is not a data point for each day for each campaign). In column ‘b’ I have the
Plotting values above a threshold in Python
Having issues with plotting values above a set threshold using a pandas dataframe. I have a dataframe that has 21453 rows and 20 columns, and one of the columns is just 1 and 0 values. I’m trying to plot this column using the following code: But get the following errors: Any suggestions on how to fix this? Answer The error
Fill up column based on condition goes wrong
I am trying to fill a column based on condition but something goes wrong. So I am expecting if it is not 2017 there should be a no. But yet the years 2019 and 2020 also get filled up with yes. Does anyone know what went wrong? Answer Use Series.between instead & for bitwise AND, for chain by bitwise OR