New plots

[v0dro]

New plots are to be implemented on a priority basis. Priority to be determined by:

• Frequency of usage.
• Need and requests by users.
• Dependence on other kinds of plots.

Please post your comments in this thread and we can update the new plots to be implemented.

List:

• [ ] Histogram.
  • [x] GR
  • [ ] Magick
• [ ] Error bars.
  • [x] GR
  • [ ] Magick
• [ ] Candle sticks.
  • [x] GR
  • [ ] Magick
• [ ] Violinplot - https://seaborn.pydata.org/examples/grouped_boxplot.html
  • [ ] GR
  • [ ] Magick
• [ ] Grouped boxplot. - https://seaborn.pydata.org/examples/grouped_boxplot.html
  • [ ] GR
  • [ ] Magick
• [ ] Dot plot.
  • [ ] GR
  • [ ] Magick.

[arafatkatze]

Thanks for raising the issue.
I think it's important to consider these factors before we add new plots.

Here are a few top choices for now

Histogram

Matplot Lib Link
Frequency of Usage: Very High
Requests: High
Dependence on Other plots: Strongly correlated with Bar chart implementation in both GR Plot and in MAgickplot, therefore, the implementation aspect is fairly easy.

Error Bars

MatplotLib Links
Frequency of usage: Moderate to low
Dependence on Other plots: Strongly correlated with line plot implementation and is easy to add to the current codebases.

Candle Sticks

Matplotlib Links
Frequency of usage: High
Dependency on other plots: A mix of line/BarPlot. Also, this has already been implemented in GR Plot and needs to be implemented in Magickplot.

[v0dro]

@Arafatk works. I'm adding your suggestions to the list.

[mrkn]

For statistical data analysis, I often use boxplot and violinplot, and scatter plot matrix layout.

There are examples of them in seaborn's gallery:

• Grouped boxplot
• Grouped violinplot
• Scatterplot matrix

[v0dro]

Thank you @mrkn . I'm adding your suggestions.