Could you, please, help me with highlighting the columns in my dataframe with multiindex/advanced indexing? I have the code which forms the Table 1: So, (2022-02-27, ‘Разница в процентах’), (2022-02-26, ‘Разница в процентах’), etc. are columns in this table in python and ‘Источник’ is an index. I want to highlight the columns, where the values >= 15, and make it
Tag: pivot-table
Pandas pivot_table gives KeyError
(I’m fairly new to Python and completely new to Pandas.) I have software usage data in a tab-separated txt file like this: The DataFrame is imported correctly, and groupby methods like this work all right: However, when I’m trying to create a pivot table with this line: I get where the “key” is the first IP value – which should
Pandas pivot value are merged
Hi have data like below result like below I want the sum of qty value Answer Based on the output, it seems to me that “qty” a “string” dtype. Try forcing it to be a “float” and try again:
reorder data in pandas pivot_table function
I’ve a sample dataframe I’m trying to pivot the data using The values are not in order which I’ve mentioned in the above snippet. How can I re-structure my data to (by also repeating the row labels) Answer Use DataFrame.swaplevel with DataFrame.reindex: EDIT:
How to get a specific value from a pivot table – python
How do I get a specific value from a pivot table? I need to store “imdb_score” as a int in a variable. how can I do this? this is the the contents of the table: Answer set the index to the unique column you have in dataframe which you want to use to filter.
pivot table raise error uniquely valued index error
I am trying to modify the following dataset in python 3/pandas into a dataframe that will have the first columns or index to be the rank and the second column all the Maj value. Something like that: … I am trying to do that with a table pivot: But get the following error: But i do not have any duplicated
Pivot table unable to get same output as excel
I have a dataframe below: I’m trying to find the customer that keeps coming back I did this but it returned me this Edit: I am trying to get the sum of the total amount and the count of the customer code. Any help is appreciated. Thanks! Answer You can use DataFrame.groupby
Python – Calculating Percent of Grand Total in Pivot Tables
I have a dataframe that I converted to a pivot table using pd.pivot_table method and a sum aggregate function: I have received an output like this: I would like to add another pivot table that displays percent of grand total calculated in the previous pivot table for each of the categories. All these should add up to 100% and should
How to create a pivot table on extremely large dataframes in Pandas
I need to create a pivot table of 2000 columns by around 30-50 million rows from a dataset of around 60 million rows. I’ve tried pivoting in chunks of 100,000 rows, and that works, but when I try to recombine the DataFrames by doing a .append() followed by .groupby(‘someKey’).sum(), all my memory is taken up and python eventually crashes. How