A list of 5 ranges, that I want to create a dataframe (10 rows * 5 columns) from. The values of the columns will be random numbers in the given range.
The given ranges are a mix of integers and floats, i.e. [1,31] is of integer, [4, 172.583333] is of floats etc.
Below works for outputs of either integers or floats only.
How can I have an output of a mix of integers and floats together? i.e. column A is random of integers, column B is floats, column C is floats, D and E are integers.
Thank you.
import numpy as np
import pandas as pd
min_max = [
[1, 31],
[4, 172.583333],
[0, 88.50561],
[4, 297],
[3, 37]]
for a, b in min_max:
df = pd.DataFrame(np.random.randint(a,b,size=(10, 5)), columns=list('ABCDE')) # to generate intergers only
df = pd.DataFrame(np.random.uniform(a,b,size=(10, 5)), columns=list('ABCDE')) # to generate floats only
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