trame-plotly 2.1.1

How to use it?

Using the Python library

import plotly.graph_objects as go
from trame.widgets import plotly

fig = go.Figure(
    data=go.Contour(
        z=[
            [10, 10.625, 12.5, 15.625, 20],
            [5.625, 6.25, 8.125, 11.25, 15.625],
            [2.5, 3.125, 5.0, 8.125, 12.5],
            [0.625, 1.25, 3.125, 6.25, 10.625],
            [0, 0.625, 2.5, 5.625, 10],
        ]
    )
)
fig2 = go.Figure(
    data=go.Contour(
        z=[
            [5.625, 6.25, 8.125, 11.25, 15.625],
            [2.5, 3.125, 5.0, 8.125, 12.5],
            [10, 10.625, 12.5, 15.625, 20],
            [0.625, 1.25, 3.125, 6.25, 10.625],
            [0, 0.625, 2.5, 5.625, 10],
        ]
    )
)

widget = plotly.Figure(fig)
widget.update(fig2)

But if you are feeling more adventurous you can use the component API directly by building the data yourself as well.

from trame.widgets import plotly

# https://plotly.com/javascript/reference/
plotly_data = [
  {
    "x": [1,2,3,4],
    "y": [10,15,13,17],
    "type": "scatter",
  }
]

# https://plotly.com/javascript/reference/layout/
plotly_layout = {
  "title": "My graph",
}

# https://plotly.com/javascript/configuration-options/
plotly_options = {
  "scroll_zoom": True,
  "editable": True,
  "static_plot": True,
  "to_image_options": {
    "format": "svg", # one of png, svg, jpeg, webp
    "filename": "custom_image",
    "height": 500,
    "width": 700,
    "scale": 1 # Multiply title/legend/axis/canvas sizes by this factor
  },
  "display_mode_bar": True,
  "mode_bar_buttons_to_remove": [
    "zoom2d", "pan2d", "select2d", "lasso2d", "zoomIn2d", "zoomOut2d", "autoScale2d", "resetScale2d", # 2D
    "zoom3d", "pan3d", "orbitRotation", "tableRotation", "handleDrag3d", "resetCameraDefault3d", "resetCameraLastSave3d", "hoverClosest3d", # 3D
    "hoverClosestCartesian", "hoverCompareCartesian", # Cartesian
    "zoomInGeo", "zoomOutGeo", "resetGeo", "hoverClosestGeo", # Geo
    "hoverClosestGl2d", "hoverClosestPie", "toggleHover", "resetViews", "toImage", "sendDataToCloud", "toggleSpikelines", "resetViewMapbox", # Other
  ],
  "mode_bar_buttons_to_add": [
    {
      "name": 'color toggler',
      "icon": icon1, # https://plotly.com/javascript/configuration-options/#add-buttons-to-modebar
      "click": "...",
    },
  ],
  "locale": "fr",
  "display_logo": False,
  "responsive": True,
  "double_click_delay": 1000,
}

# Hand made chart
chart = plotly.Figure(
  data=("chart_data", plotly_data),
  layout=("chart_layout", plotly_layout),
  **plotly_options,
)