Self-time summary by function

Returns the time spent directly in each function (at the top of the call stack). This shows where CPU cycles are actually being consumed.

Usage

pv_self_time(x, n = NULL, min_pct = 0, min_time_ms = 0)

Arguments

x

A profvis object.

n

Maximum number of functions to return. If NULL, returns all that pass the filters.

min_pct

Minimum percentage of total time to include (default 0).

min_time_ms

Minimum time in milliseconds to include (default 0).

Value

A data frame with columns:

• label: Function name

• samples: Number of profiling samples

• time_ms: Time in milliseconds

• pct: Percentage of total time

Examples

p <- pv_example()
pv_self_time(p)
#>                              label samples time_ms  pct
#> 1                            rnorm       6      30 42.9
#> 2                 x[i] <- rnorm(1)       4      20 28.6
#> 3                    generate_data       3      15 21.4
#> 4 result[i] <- sqrt(abs(x[i])) * 2       1       5  7.1

# Only functions with >= 5% self-time
pv_self_time(p, min_pct = 5)
#>                              label samples time_ms  pct
#> 1                            rnorm       6      30 42.9
#> 2                 x[i] <- rnorm(1)       4      20 28.6
#> 3                    generate_data       3      15 21.4
#> 4 result[i] <- sqrt(abs(x[i])) * 2       1       5  7.1