Overview:
- div() method divides element-wise division of one pandas DataFrame by another.
- DataFrame elements can be divided by a pandas series or by a Python sequence as well.
- Calling div() on a DataFrame instance is equivalent to invoking the division operator (/).
- The div() method provides the fill_value parameter which is used for replacing the np.nan and None values present in the DataFrame or in the resultant value with any other value.
Example:
|
import pandas as pd
# Data creation part data1 = [(20, 40, 60, 80), (10, 30, 50, 70), (15, 25, 35, 45)];
data2 = [(2, 3, 4, 6), (5, 1, 0, 3), (3, 6, 9, 1)];
# Creation of pandas DataFrames dataFrame1 = pd.DataFrame(data=data1); dataFrame2 = pd.DataFrame(data=data2);
# Divide the DataFrame1 elements by the elements of DataFrame2 divisionResults = dataFrame1.div(dataFrame2);
print("Elements of DataFrame1:") print(dataFrame1);
print("Elements of DataFrame2:") print(dataFrame2);
print("DataFrame1 elements divided by DataFrame2 elements:") print(divisionResults); |
Output:
