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| require(data.table) | |
| require(dtplyr) | |
| require(dplyr) | |
| N <- 1e8 | |
| K <- 100 | |
| set.seed(1) | |
| DT <- data.table( | |
| id1 = sample(sprintf("id%03d", 1:K), N, TRUE), # large groups (char) | |
| id2 = sample(sprintf("id%03d", 1:K), N, TRUE), # large groups (char) |
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| import pandas as pd | |
| def filter_(df, f): | |
| return df[f(df)] | |
| pd.DataFrame.filter_ = filter_ |