I have DataFrame in Python Pandas like below: ID U1 U2 U3 CP CH 111 1 1 0 10-20 1 222 1 0 1 10-20 1 333 0 1 0 20-30 0 444 0 1 1 40-50 0 555 1 0 0 10-20 0 And I need to create column with percent of ‘1’ in column ‘CH’ per combination for:
Tag: pivot-table
Python (Pandas) pivot datframe, some sums keeping the order
I’m trying to get from a to b. I got a Pandas data frame similar to the a below. I realize I’ve backed myself into a corner by computing sums in a flat file. I’m new to Python. I guess I should create the sums when I’m done pivoting? What I am stuck in is this wrong b struggle, I
Similar to pivot table in Python
Here is a dataframe data_1. I want to make this data_1 as follows: I tried pivot_table ,but the output is not the same as I expected. Moreover, I need to save the data_1 as csv file, but the there are no columns id and date in the csv file that I made. Is there any method to change the data_1
Merge two rows and put the results in the same columns
I would like to join two files by key but I would like some columns to be joined together for example: File1: File2: I would like to merge with primary key List (from file1) and Cod (from file2), to get: I think we need something like a left join and an agragation but I don’t know how. In the final
How to create pivot table from a pandas dataframe having string data types in the correct order
I have a dataframe which looks like below, Here is the same data in table format which you can copy/paste, Here is the same data in dictionary format which you can copy/paste, I tried using below code, but some of the SourceName was having wrong type, eg ‘peptide magainin’ should be a CHEMICAL, but it comes under DISEASE which is
change dataframe pivot_table headers to save it in an excel file
I have a nested hearders in a dataframe after pivoting it and I’d like to make it flat, with repeated item on each rows (like in a excel) May you help me ? where I’d like to get a flat header and reapeated rows : many thanks Nico Answer You need to use droplevel(0) which will remove the top level
Select specific rows from pivot table in pandas
I have a dataframe which I pivoted and I now want to select spefici rows from the data. I have seen similar questions such as the one here: Selecting columns in a pandas pivot table based on specific row value?. In my case I want to return all the columns but I want to select only specific rows. I have
pandas pivot_tables doesn’t work with date data (No numeric types to aggregate)
I have the following dataframe: I want to create pivot table to get the following table: I have tried to do this using pivot_table (pandas): but I get this error: DataError: No numeric types to aggregate I have read this post but it seems to be a bit different as I don’t want to change the columns and also I
Pandas pivot table count
I would like to ask a question concerning pivot tables in Pandas. I have been trying to make a pivot table for this kind of table: sector score US null US null US 1 EU null EU 2 EU 2 EU 4 UK null UK null UK null UK 4 UK 4 Eventually, I would like this table to be
Add pivot table in excel with python
I am trying to add a pivot table in excel using python script with pandas but not able to do so. I won’t to count number of missed and met entries for each priority. Excel script: Excel data: Priority SLA p1 Met p2 Missed p3 Missed p2 Missed p3 Missed desired output: Priority Met Missed p1 1 0 p2 1