Hi,
1]. Is there a way to round all columns to sigdigits=3
in a dataframe from a simulation?
2]. Is there a faster way to download a written CSV, sometimes, when I try to download a dataframe with a large population of 200 subjects, the REPL crashes, or it just does not download for hours?
Thanks.
Yes
julia> using DataFrames
julia> df = DataFrame(rand(100, 4), :auto)
100ร4 DataFrame
Row โ x1 x2 x3 x4
โ Float64 Float64 Float64 Float64
โโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
1 โ 0.124564 0.864771 0.626393 0.769189
2 โ 0.714328 0.333885 0.0595384 0.547035
3 โ 0.558559 0.42749 0.401139 0.796654
4 โ 0.363461 0.303619 0.701028 0.357633
5 โ 0.698648 0.647859 0.729592 0.754802
6 โ 0.394524 0.119908 0.458051 0.00806654
7 โ 0.439752 0.941422 0.817513 0.240245
8 โ 0.0176141 0.966878 0.950149 0.209727
9 โ 0.778352 0.979496 0.344519 0.417361
10 โ 0.463619 0.715762 0.600934 0.823153
11 โ 0.210912 0.654695 0.226227 0.191472
12 โ 0.395527 0.167366 0.365117 0.51622
โฎ โ โฎ โฎ โฎ โฎ
90 โ 0.0435 0.333514 0.471332 0.663195
91 โ 0.0903848 0.23207 0.494652 0.818992
92 โ 0.659021 0.719138 0.62941 0.985171
93 โ 0.854198 0.410157 0.62477 0.48207
94 โ 0.833394 0.47006 0.574971 0.759535
95 โ 0.356676 0.545397 0.358455 0.339285
96 โ 0.556144 0.262727 0.0975181 0.164304
97 โ 0.219012 0.0855951 0.252604 0.176979
98 โ 0.673927 0.899355 0.417918 0.00584851
99 โ 0.555973 0.539306 0.757973 0.806727
100 โ 0.926957 0.899353 0.285144 0.935615
77 rows omitted
julia> transform!(df, All() .=> ByRow(x -> round(x; digits=3)); renamecols=false)
100ร4 DataFrame
Row โ x1 x2 x3 x4
โ Float64 Float64 Float64 Float64
โโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
1 โ 0.125 0.865 0.626 0.769
2 โ 0.714 0.334 0.06 0.547
3 โ 0.559 0.427 0.401 0.797
4 โ 0.363 0.304 0.701 0.358
5 โ 0.699 0.648 0.73 0.755
6 โ 0.395 0.12 0.458 0.008
7 โ 0.44 0.941 0.818 0.24
8 โ 0.018 0.967 0.95 0.21
9 โ 0.778 0.979 0.345 0.417
10 โ 0.464 0.716 0.601 0.823
11 โ 0.211 0.655 0.226 0.191
12 โ 0.396 0.167 0.365 0.516
โฎ โ โฎ โฎ โฎ โฎ
90 โ 0.043 0.334 0.471 0.663
91 โ 0.09 0.232 0.495 0.819
92 โ 0.659 0.719 0.629 0.985
93 โ 0.854 0.41 0.625 0.482
94 โ 0.833 0.47 0.575 0.76
95 โ 0.357 0.545 0.358 0.339
96 โ 0.556 0.263 0.098 0.164
97 โ 0.219 0.086 0.253 0.177
98 โ 0.674 0.899 0.418 0.006
99 โ 0.556 0.539 0.758 0.807
100 โ 0.927 0.899 0.285 0.936
77 rows omitted
Iโve upload and download files over 100MB fine using the browser and the right+click download or the drag and drop to upload.
1 Like
parssh.mehta:
2]. Is there a faster way to download a written CSV, sometimes, when I try to download a dataframe with a large population of 200 subjects, the REPL crashes, or it just does not download for hours?
How are you downloading those? Using the browser?
Right Click and Download, on the browser. But my dataset is 580 MB and I tried downloading even using more CPU and RAM but still did not run. Anyways I figured out, I really donโt need all the columns just need a few. So I selected the oneโs I need. Thanks againโฆ!
Where are you downloading to? Florida?
Desktop for Plotting in R.