Assume, you have a dataframe and the result for flatten records in C and F order as,
flat c_order: [10 12 25 13 3 12 11 14 24 15 6 14] flat F_order: [10 25 3 11 24 6 12 13 12 14 15 14]
Solution
To solve this, we will follow the steps given below −
Define a dataframe
Apply df.values.ravel() function inside set an argument as order=’C’ and save it as C_order,
C_order = df.values.ravel(order='C')
Apply df.values.ravel() function inside set an argument as order=’F’ and save it as F_order,
F_order = df.values.ravel(order='F')
Example
Let’s check the following code to get a better understanding −
import pandas as pd df = pd.DataFrame({'Id':[10, 25, 3, 11, 24, 6], 'Age':[12,13,12,14,15,14] }) print("Dataframe is:\n",df) C_order = df.values.ravel(order='C') print("flat c_order:\n",C_order) F_order = df.values.ravel(order='F') print("flat F_order:\n",F_order)
Output
Dataframe is: Id Age 0 10 12 1 25 13 2 3 12 3 11 14 4 24 15 5 6 14 flat c_order: [10 12 25 13 3 12 11 14 24 15 6 14] flat F_order: [10 25 3 11 24 6 12 13 12 14 15 14]