When To Use Random_state=0 - Q&A - Dataquest Community

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We can use random_state to reproduce same output every time. Here, In context of sampling we are using pd.DataFrame.sample that return a random sample of items from data frame. (Without setting random_state Every time it will return different results or sample.)

But if we want to re-produce same output each time say for testing purpose then we take use of random_state.

For example: Using stratum_F from the mission Without random_state

stratum_F = wnba[wnba["Pos"] == "F"] # Without setting `random_state` print(stratum_F.sample(2)) print(stratum_F.sample(2)) Name Team Pos Height Weight BMI Birth_Place ... 55 Evelyn Akhator DAL F 191 82.0 22.477454 NG ... 76 Kayla Pedersen CON F 193 86.0 23.087868 US ... [2 rows x 33 columns] Name Team Pos Height Weight BMI Birth_Place ... 17 Bashaara Graves CHI F 188 91.0 25.746944 US ... 108 Ramu Tokashiki SEA F 193 80.0 21.477087 JP ... [2 rows x 33 columns]

First it return [55, 76] rows and second time [17, 108].

With random_state=123 (We can set any integer number to random_state.)

print(stratum_F.sample(2, random_state=123)) print(stratum_F.sample(2, random_state=123)) Name Team Pos Height Weight BMI Birth_Place ... 29 Candice Dupree IND F 188 81.0 22.917610 US ... 103 Nneka Ogwumike LA F 188 79.0 22.351743 US ... [2 rows x 33 columns] Name Team Pos Height Weight BMI Birth_Place ... 29 Candice Dupree IND F 188 81.0 22.917610 US ... 103 Nneka Ogwumike LA F 188 79.0 22.351743 US ... [2 rows x 33 columns]

Both time return same [29, 103] rows.

Hope that helps! :slight_smile: @candiceliu93

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