Questions tagged [groupby]
A groupby operation: splits the data, applies a function to each group, and combines the results.
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Combination of groupby and mean methods
I am looking at the below csv file :
We have the question :
Display the mean of the variable gre by group of admitted/not admitted students, using the combination of groupby and mean methods.
I would ...
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Finding Weekly Inventory from Sold Date and Inventory Added Date
I am aggregating data by week and need to find the number of items in inventory for each week. I have the date sold(Contract Date) and the date the item was added ...
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Approach to aggregating & creating subtotals for each new record / subgroup rather than doing a full "recalculation" over full dataframe each time
Just wondering if I could pick the brains of the many experts here. I am fairly new to programming in Python so please excuse the novice level question.
I am currently working on a machine learning ...
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Spark - Group by coulmn_1, and calculate the precentiles of coulmn_2 where the precentile to calculate is in coulmn_3
I have a data frame with 3 main columns.
coulmn_1 - the column I want to preform group by on
coulmn_2 - contains numeric values I would like to calculate percentiles on
coulmn_3 - contains a number ...
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How to groupby and sum values of only one column based on value of another column
I have a dataset that has the following columns: Category, Product, Launch_Year, and columns named 2010, 2011 and 2012. These 13 columns contain sales of the product in that year. The goal is to ...
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Using Pandas.groupby.agg with multiple columns and functions
I have a data frame which contains duplicates I'd like to combine based on 1 column (name). In half of the other columns I'd like to keep one value (as they should all be the same) whereas I'd like to ...
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Grouping by Multi-Indices of both Row and Column [closed]
I have created a table using Pandas following material from here.
The table created makes use of Multi-Indices for both columns and rows.
I am trying to compute the descriptive statistics for each ...
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Applied and view jobs ratio
I have the following data set where the column "kind" can be V(view) or A(apply), how can I do the following things given a particular job id how many applicant Apply (A) to that particular ...
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How to find median/average values between data frames with slightly different columns?
I am trying to combat run-to-run variance of the data I collect by combining the data from different runs and finding the mean/average. The problem is that in each run there is a chance that some of ...
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panda grouping dates by variable with transposed value variables
I had read this post
panda grouping by month with transpose
and it gave me the nearest answer to my question but not the completely solution.
How would I get somewhat like the reverse output?
My ...
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pandas groupby.count doesn't count zero occurrences
I am using groupby.count for 2 columns to get value occurrences under a class constraint. However, if value $x$ in feature never occurs with class $y$, then this pandas method returns only non-zero ...
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MongoDB Groupby Rank [closed]
Im Working With Mongodb And Wanted to do a query using Aggregate fucntion. Query Is ...
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Using user defined function in groupby
I am trying to use the groupby functionality in order to do the following given this example dataframe:
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Accessing group elements in groupby
I had a doubt about groupby operations. Lets suppose I have grouped my data based on one column and got 5 groups as output. I know that we can iterate over these groups and apply functions to them as ...
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Access keys of pandas dataframe when using groupby
I have the following database:
And I would like to know how many times a combination of BirthDate and Zipcode is repeated throughout the data table:
Now, my question is: How can I access the keys of ...
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Pandas Groupby datetime by multiple hours [closed]
I have a log dataset which looks like the following:-
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Pandas - Avoid boolean result when using groupby()
I have this script:
sectors = df.groupby(['company_sector']).mean()['investment_in_millions']
Output:
I wanted to keep the same groupy() but having a result ...
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Why is the behaviour of groupby command different in R and in python with pandas? [closed]
if I execute the following lines of codes in R as well as python for groupby command, the order of the resulting ...
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How to use df.groupby() to select and sum specific columns w/o pandas trimming total number of columns
I got Column1, Column2, Column3, Column4, Column5, Column6
I'd like to group Column1 and get the row sum of Column3,4 and 5
When I apply groupby() and get this that is correct but it's leaving out ...
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pandas groupby and sort values
I am studying for an exam and encountered this problem from past worksheets:
This is the data frame called 'contest' with granularity as each submission of question from each contestant in the math ...
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User defined aggregations on data of around 200GB where row order matters
I am working with "medium large" data of around 200GB. The data are long form log files, where there are several thousand logs for each "entity". The entities are actually flights ...
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Custom DataFrame format for exporting to excel sheets
I have the following DataFrame and I want it exported in an excel file with different sheets having different words as shown in the image
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Calculating Median and Mode of numerical variables for different subgroups in R
I have customer call data and I want to get the median and mode for the call success rate for different subgroups.
My variables are: Customer ID, Employment Status (Retired, Employed, Unemployed), ...
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How to group by one column and count frequency from other column for each item in the previous column in python?
I am trying to group my data by the 'ID' column. Then I want to count the frequency of 'sequence' for each 'ID'. Here is a sample of the data frame:
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How to combine rows after Pandas Groupby function
May I know how to combine several rows into one single row after I used Pandas groupby function?
In below example, I would like to to group the data by Employee ID, Customer Last Name and Customer ...
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Normalize data from different groups
I have data that has been grouped into 27 groups by different criteria. The reason for these groupings is to show that each group has different behavior. However, I would like to normalize everything ...
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Group_by 2 variables and pivot_wider distribution based on 2 others
Performing some calculations on a dataframe and stuck trying to calculate a few percentages. Trying to append 3 additional columns added for %POS/NEG/NEU. E.g., the sum of amount col for all ...
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Pushing down Group By clause [closed]
I've studied this exercise in class
But I cannot figure out why, when I push down the Group By clause, I can remove RLCode attribute from GroupBy. Does this action change the meaning of query tree?
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Problem with sort by and group by in pandas
I have a DataFrame with duplicate id's but have different dates.
For Example:
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