I have a dataset that has information like below: I want to convert this piece of data to this form: How can I convert my data frame to this form ?? I am not getting what should I do in this case. Answer Try with
Tag: dataframe
Have the same index for multiple rows in dataframe, shown verticaly
I am trying to create a dataframe that looks similar to an excel file, something like this: The code I am using right now: 1) Import packages What I am getting: What I want to do is have the dataframe show the index vertically, using the same index for 3 consequent rows at a time. Answer How about this? I
Pandas pivot_table aggfunc ignores categories if more than one line of data is being aggregated
I am trying to aggregate a dataframe using pandas.pivot_table and find it behaves differently when multiple lines are aggregated on a categorical series. Code from this issue helps explain (though the issue is different from mine). Setting up a dataframe with a categorical column: If I pivot the dataframe with I get a dataframe with all the categories with the
Using python pandas how can we select very specific rows and associated column
I am still learning python, kindly excuse if the question looks trivial to some. I have a csv file with following format and I want to extract a small segment of it and write to another csv file: So, this is what I want to do: Just extract the entries under actor_list2 and the corresponding id column and write it
Change columns that contain string and replace rows
How could I change all columns that have “change_” in the column name? For these columns I want to then conditionally replace rows. Want in general code for a larger dataset Expected Output: Answer Use df.filter to filter out columns and then use df.replace:
Converting a multindex dataframe to a nested dictionary [closed]
Closed. This question needs debugging details. It is not currently accepting answers. Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question. Closed 2 years ago. Improve this question I have a grouped dataframe as shown in this link: I want to
How to make clusters of Pandas data frame?
I am trying to make a cluster of the following pandas data frame and trying to give the names. E.g – “Personal Info” is cluster name and it consist of (PERSON,LOCATION,PHONE_NUMBER,EMAIL_ADDRESS,PASSPORT,SSN, DRIVER_LICENSE) and also addition of there Counts. which will be 460. Clusters: for reference I am providing clusters structure Input data: Output: Answer You can create an inverse dictionary
Pandas – Adding individual Z-Scores to each row based on an id
So I have a Pandas data-frame with a game_id, player_id, and playtime column. I would like to add a z-score rating for each row to find how much from the norm, in terms of playtime, they are for each given game. How would I go through and add each one of these scores to a new column for the data-frame?
Append two dataframes indexed with DateTime that have overlapping elements, keeping the overlaping elements of the second
Problem I have two dataframes that I want to merge. They both have a DateTime index and the measured values overlap for the last two hours of the first and the first two hours of second. I want to …
Pandas Dataframe keep rows where date is between two dates (seperate columns)
I have a dataframe that looks similar to this : And then I have a list of dates. For example: list = [2020-01-03, 2020-02-04] I would like to keep only the rows of the dataframe where the dates are in between the From column and the To column. So, after transformation I would have the following dataframe. First I thought