A short data frame and I want to create new rows from the existing rows.
What it does now is, each row, each column multiple a random number between 3 to 5:
import pandas as pd
import random
data = {'Price': [59,98,79],
'Stock': [53,60,60],
'Delivery': [11,7,6]}
df = pd.DataFrame(data)
for row in range(df.shape[0]):
new_row = round(df.loc[row] * random.randint(3,5))
new_row.name = 'new row'
df = df.append([new_row])
print (df)
Price Stock Delivery
0 59 53 11
1 98 60 7
2 79 60 6
new row 295 265 55
new row 294 180 21
new row 316 240 24
Is it possible that it can multiple different random numbers to each row? For example:
the 1st row 3 cells multiple (random) [3,4,5]
the 2nd row 3 cells multiple (random) [4,4,3] etc?
Thank you.
Change the random to numpy random.choice in your for loop
np.random.choice(range(3,5),3)
Collected from the Internet
Please contact [email protected] to delete if infringement.
Comments