A fast, extensible progress bar for Julia. This is a Julia clone of the great Python package tqdm.
Run the following in a julia prompt:
using Pkg
Pkg.add("ProgressBars")julia> using ProgressBars
julia> for i in ProgressBar(1:100000) #wrap any iterator
#code
end
100.00%┣█████████████████████████████████████████████████┫ 100000/100000 [00:12<00:00 , 8616.43 it/s]There is a tqdm alias, so that people coming from python will feel right at home :)
julia> using ProgressBars
julia> for i in tqdm(1:100000) #wrap any iterator
#code
end
100.00%┣█████████████████████████████████████████████████┫ 100000/100000 [00:12<00:00 , 8616.43 it/s]Iterating with a custom unit (e.g. bytes)
julia> iter = ProgressBar(1:2_000_000, unit="B", unit_scale=true)
for i in iter
# Do stuff
end
100.0%┣██████████████████████████████████████████████████████████┫ 2.0MB/2.0MB [00:00<00:00, 4.8MB/s]Or with a set description (e.g. for loss values when training neural networks)
julia> iter = ProgressBar(1:100)
for i in iter
# ... Neural Network Training Code
loss = exp(-i)
set_description(iter, string(@sprintf("Loss: %.2f", loss)))
end
Loss: 0.02 3.00%┣█▌ ┫ 3/100 00:00<00:02, 64.27 it/s]Printing persistent messages while using a ProgressBar:
julia> iter = ProgressBar(1:5)
for i in iter
println(iter, "Printing from iteration $i")
sleep(0.2)
end
Printing from iteration 1
Printing from iteration 2
Printing from iteration 3
Printing from iteration 4
Printing from iteration 5
100.0%┣█████████████████████████████████████████████████████████████████┫ 5/5 [00:03<00:00, 1.5 it/s]Postfixes are also possible, if that's your kind of thing:
julia> iter = ProgressBar(1:100)
for i in iter
# ... Neural Network Training Code
loss = exp(-i)
set_postfix(iter, Loss=@sprintf("%.2f", loss))
end
100.0%┣█████████████████████████████████████████████┫ 1000/1000 [00:02<00:00, 420.4 it/s, Loss: 0.37]You can also use multi-line postfixes, like so:
julia> iter = ProgressBar(1:100)
for i in iter
# ... Neural Network Training Code
loss = exp(-i)
set_multiline_postfix(iter, "Test 1: $(rand())\nTest 2: $(rand())\nTest 3: $loss)")
end
100.0%┣█████████████████████████████████████████████████████████┫ 1000/1000 [00:02<00:00, 420.4 it/s]
Test1: 0.6740503146383823
Test2: 0.23694728303439727
Test3: 0.06787944117144233Now with added support for Threads.@threads for:
julia> a = []
Threads.@threads for i in ProgressBar(1:1000)
push!(a, i * 2)
end
100.00%┣██████████████████████████████████████████████████████┫ 1000/1000 00:00<00:00, 28753.50 it/s]By default, the progress bar will update at most every 50ms in order to prevent the string IO from slowing down very fast iterations.
This can be adjusted by passing the desired printing delay (in seconds) to the printing_delay-parameter when constructing the progress bar:
julia> for i in ProgressBar(1:1000, printing_delay=0.001)
# do stuff
end
100.0%┣████████████████████████████████████████████████████████┫ 1000/1000 [00:00<00:00, 3006.8 it/s]
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent