Plotcli[1] is a command line application that can create plots by parsing text/csv files and from piped data, making it useful during data analysis.


Plotcli v0.8.0 has been largely rewritten to use ggplotd[2] as its backend. This results in more beautiful plots and gives us greater control over the exact plots created. Note though that the command line arguments are incompatible with previous releases.

Plotcli (through ggplotd) can now also show the plots in a gtk window, through using `plotcli --format gtk`. Previously versions only supported saving the resulting plots to files.

Examples and more documentation are available on the its github page:
https://github.com/BlackEdder/plotd

[1] https://github.com/BlackEdder/plotd
[2] https://github.com/BlackEdder/ggplotd

On Monday, 15 February 2016 at 12:11:39 UTC, Edwin van Leeuwen wrote:
>
> Plotcli v0.8.0 has been largely rewritten to use ggplotd[2] as its backend. This results in more beautiful plots and gives us greater control over the exact plots created. Note though that the command line arguments are incompatible with previous releases.
>


Cool.

On Monday, 15 February 2016 at 12:11:39 UTC, Edwin van Leeuwen wrote:
> Plotcli[1] is a command line application that can create plots by parsing text/csv files and from piped data, making it useful during data analysis.
>
>
> Plotcli v0.8.0 has been largely rewritten to use ggplotd[2] as its backend. This results in more beautiful plots and gives us greater control over the exact plots created. Note though that the command line arguments are incompatible with previous releases.
>
> Plotcli (through ggplotd) can now also show the plots in a gtk window, through using `plotcli --format gtk`. Previously versions only supported saving the resulting plots to files.
>
> Examples and more documentation are available on the its github page:
> https://github.com/BlackEdder/plotd
>
> [1] https://github.com/BlackEdder/plotd
> [2] https://github.com/BlackEdder/ggplotd

This looks very cool - does it take long to export the png file?

Particularly with the -f flag, if the data file is updated, how long until does it take to print? I know I could check, but you prob know the answer :P

On Monday, 15 February 2016 at 20:17:00 UTC, wobbles wrote:
>
> This looks very cool - does it take long to export the png file?
>
> Particularly with the -f flag, if the data file is updated, how long until does it take to print? I know I could check, but you prob know the answer :P

Currently it saves if the last save is more than 100ms ago. It also tries to read the file every 100ms, so at the outside it would take 200ms after a file update. Have been thinking I might have to increase that time a bit to deal with larger data sets.

On Monday, 15 February 2016 at 21:43:27 UTC, Edwin van Leeuwen wrote:
> On Monday, 15 February 2016 at 20:17:00 UTC, wobbles wrote:
>>
>> This looks very cool - does it take long to export the png file?
>>
>> Particularly with the -f flag, if the data file is updated, how long until does it take to print? I know I could check, but you prob know the answer :P
>
> Currently it saves if the last save is more than 100ms ago. It also tries to read the file every 100ms, so at the outside it would take 200ms after a file update. Have been thinking I might have to increase that time a bit to deal with larger data sets.

Sounds good!

I have a vibe.d app that plots our servers sar data using plotly.js.

I'll investigate integrating this instead of plotly so I'll have a fully D solution! (I tried generating my own svg file but it was too large an effort for me at the time!)

On Monday, 15 February 2016 at 22:54:19 UTC, wobbles wrote:
>
> Sounds good!
>
> I have a vibe.d app that plots our servers sar data using plotly.js.
>
> I'll investigate integrating this instead of plotly so I'll have a fully D solution! (I tried generating my own svg file but it was too large an effort for me at the time!)

If you want to plot directly from D you could consider integrating ggplotd directly, because that would give you maximum flexibility. Note that if you are interested in a particular type of plot that isn't supported yet just let me know (or submit a pull request :)). Extending ggplotd/plotcli to support a new type is relatively straightforward (see the ggplotd readme).

Ggplotd and plotcli both support saving to png/svg/pdf format.