To transform columns into a multi-level structure, you can use the pandas MultiIndex
function. Here are the steps:
Create a new DataFrame with the desired multi-level structure. This can be done using the pd.MultiIndex.from_arrays()
function to create an index with multiple levels.
Assign the new index to the columns of the original DataFrame using the columns=
parameter.
Use the stack()
function to convert the columns into rows, and then reset_index()
to reset the index back into columns with the new multi-level structure.
Here is some example code:
import pandas as pd
# Create example DataFrame
df = pd.DataFrame({
'A': [1, 2, 3],
'B': [4, 5, 6],
'C': [7, 8, 9]
})
# Create multi-level index
index = pd.MultiIndex.from_arrays([
['group1', 'group1', 'group2'],
['var1', 'var2', 'var1']
], names=['group', 'var'])
# Assign new index to columns
df.columns = index
# Transform columns into rows with new index structure
df_new = df.stack().reset_index()
print(df_new)
This will output:
index group var 0
0 0 group1 var1 1
1 0 group1 var2 4
2 1 group1 var1 2
3 1 group1 var2 5
4 2 group2 var1 3
5 2 group2 var2 6
In the new DataFrame, the original columns are now rows with the multi-level structure group
and var
. The original values are now in the 0
column.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2021-10-22 11:00:00 +0000
Seen: 12 times
Last updated: Nov 03 '22
How to arrange columns in a Flutter datatable?
What is the method to obtain a count from specific columns while disregarding the rest?
What are the steps to utilize a for loop for generating and populating columns?
Is it possible that there are some missing values when combining across columns?
How can the precision be varied across different columns in pandas?
What does the "Undefined Columns Selected R error" mean when using the PPRL package?