This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
using DataFrames | |
df1 = DataFrame(v1 = rand(Int16, 10000), | |
v2 = rand(Int8, 10000), | |
v3 = randn(10000)) | |
df2 = DataFrame(v1 = rand(Int16, 10000), | |
v2 = rand(Int8, 10000), | |
v4 = randn(10000)) | |
# this works |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
using DataFrames | |
df = DataFrame(v1 = rand(Int16, 500), | |
v2 = rand(Int16, 500), | |
v3 = rand(Int16, 500), | |
v4 = rand(Int16, 500)) | |
unique0 = size(unique(df[:, [:v1, :v2, :v3]]), 1) | |
unique1 = size(unique(df[:, [:v1, :v2, :v3, :v4]]), 1) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
using DataFrames | |
df1 = DataFrame(v1 = rand(Int16, 500)) | |
df2 = DataFrame(v2 = rand(Int16, 500)) | |
df = join(df1, df2, kind = :cross) | |
# this works | |
groupby(df, [:v1, :v2]) | |
# this doesn't |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
addprocs(4) | |
blas_set_num_threads(1) | |
function f(K, k, y, masks, ranges) | |
function dowork(i) | |
z = K[masks[:, i], masks[:, i]] \ y[ranges[i, 1]:ranges[i, 2]] | |
z = k[:, ranges[i, 1]:ranges[i, 2]] * z | |
return z | |
end | |
r = pmap(dowork, collect(1:size(ranges, 1))) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
using DataFrames | |
ids = rand(15000:25000, 1600) | |
ids = unique(ids) | |
ids = String[string("f",x) for x in ids] | |
keys = 1:200 | |
keys = String[string("k",x) for x in keys] | |
temp = join(DataFrame(id = ids), DataFrame(key = keys), kind = :cross) | |
keepflag = rand(size(temp,1)) |