I have a dataset that looks like this: I want to iterate through each row and calculate a sum of squares value for each row above (only if the Type matches). I want to put this value in the X.sq column. So for example, in the first row, there’s nothing above. So only (-1.975767 x -1.975767). In the seco…
Tag: dataframe
Creating Dataframes for different clusters
I have a dataset Using this dataset, I clustered the dataset based on the number of times “System” is repeated for a particular “Name”. In the above example, Names A, B and D have one “AZ” “Subset” while C, E have two “AY” subsets and F has two AZ so…
Getting max values based on sliced column
Let’s consider this Dataframe: I want to compute column D based on: The max value between: integer 0 A slice of column B at that row’s index So I have created a column C (all zeroes) in my dataframe in order use DataFrame.max(axis=1). However, short of using apply or looping over the DataFrame, I …
split a workbook into different workbooks with worksheets using python pandas
I have a list of transactions from the last 7 years in one big excel file. I m trying to create an excel workbook for each year that includes each months as worksheet. Im using a column called ‘date’ that has each transactions recorded as MM/DD/YYY. I split that column to single out my years and m…
When do I need to use a GeoSeries when creating a GeoDataFrame, and when is a list enough?
I define a polygon: and create a list of random points: I want to know which points are within the polygon. I create a GeoDataFrame with a column called points, by first converting the points list to GeoSeries: Then simply do: which returns a pandas.core.series.Series of booleans, indicating which points are …
How can I make a column into rows with pandas with a dynamic number of columns?
I am trying to convert a column of values into separate columns using pandas in python. So I have columns relating to shops and their products and the number of products each shop has could be different. For example: What I am trying to achieve would look something like this: If there are any shops that have …
to_json without header and index pandas
I have the following pandas DF How can I convert this DF to json to be like: My best try was: But I got this output: Bonus Doubt: Is it possible to parse only the values 1,2,3 and 4 of column data to int? Answer The first approach is to squeeze your dataframe before use to_json For the bonus, use
Is there a way to merge on Interval Index and another Column Value in pandas?
So I currently have 2 dataframes. These have different columns and what I have been trying to figure out is how to merge on an interval index as well as a unique ID value. Below are 2 different examples of the dataframes I have: Creating the dataframe: Creating the dataframe: What I want to do is to be able t…
Filter pandas column based on ranges in a huge list
Trying to filter ‘time’ data into ‘time_filtered’ based on lut_lst ranges, ergo if ‘time’ value falls in any of the ranges, exchange with NaN otherwise copy value into new column. The output for df is not filtered. I tried using any(lut_lst) or all(lut_lst) but that just th…
Python: Concat dataframes where one of them is empty
I have the following dataframes: where df1 represents deposits and df2 represents withdrawals. I want to concat them to get I am calling an API that fetches withdrawals and deposits. So far, no withdrawals have been made but I want to display that as shown in “df” whenever the code is executed. An…