Automate initializing random integers for various columns in data frame Python

Question

I am trying to minimize the following code to a for loop, as I have 14 of the similar columns, or something in a fewer number of code lines. What would be a pythonic way to do it?

df['fan1_rpm'] = np.random.randint(5675, 5725, 30)
df['fan2_rpm'] = np.random.randint(5675, 5725, 30)
df['fan3_rpm'] = np.random.randint(5675, 5725, 30)
df['fan4_rpm'] = np.random.randint(5675, 5725, 30)
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Answer 1

So given you have 14 columns:

n_cols = 14

And assuming your column names follow the pattern implied:

cols = [f"fan{i}_rpm" for i in range(1, n_cols + 1)]

Then with pandas/numpy, you can simply:

df[cols] = np.random.randint(5675, 5725, (30, n_cols))