How to force image to span the full width of the div component

I’m encountering an issue with my app’s layout where I’m trying to display an image alongside a table. My goal is to have the image span the entire width of the screen allocated to it, regardless of the table’s height. However, I’ve noticed that the size of the image seems to be somehow tied to the height of the table. As a result, when the table is short or empty, the image shrinks accordingly. I’ve experimented with adjusting margins, changing the width of the image in pixels (px fig), and even altering the actual image size, but none of these approaches seem to resolve the issue. The only noticeable difference occurs based on the aspect ratio of the image, where wider images appear larger than taller ones. What could be causing this behavior, and how can I ensure that the image always spans the full width of its allocated space regardless of the table’s height? Here is my a simple version of my code.

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
server = app.server

colors = {"graphBackground": "#F5F5F5", "background": "#ffffff", "text": "#000000"}

img_rgb = np.array(
    [
        [[255, 0, 0], [0, 255, 0], [0, 0, 255]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
    ],
    dtype=np.uint8,
)
df = pd.DataFrame(columns=["A", "B", "C"])

app.layout = html.Div(
    [
        html.H5("Table"),
        html.Div(
            [
                html.Div(
                    [
                        dash_table.DataTable(
                            df.to_dict("records"),
                            [{"name": i, "id": i} for i in df.columns],
                        ),
                    ],
                    style={"width": "30%", "display": "inline-block"},
                ),
                html.Div(
                    [
                        dcc.Graph(
                            figure=px.imshow(
                                img_rgb,
                                title="Table ",
                                width=20000,
                                aspect="auto",
                            ),
                            style={"width": "100%"},
                            responsive=True,
                        )
                    ],
                    style={"width": "60%", "display": "inline-block"},
                ),
            ],
            style={"display": "flex"},  # , "justify-content": "space-around"},
        ),
        dbc.InputGroup(
            [
                dcc.Dropdown(
                    ["A", "B", "C"],
                    id={
                        "type": "table_select_test",
                        "index": 100,
                    },
                    placeholder="Select test type",
                    value="",
                    multi=False,
                    clearable=False,
                    style={"width": 300},
                ),
                html.Button(
                    "Add Row",
                    id={"type": "table_add_row", "index": 100},
                    n_clicks=0,
                ),
            ],
            className="mb-3",
        ),
        html.Hr(),
    ]
)


if __name__ == "__main__":
    app.run_server(debug=True, processes=1, threaded=False)

The output looks like this, but I would like the image to fill the full with.

I would appreciate any help!

Hello,
do you rely on plotly express? You could have a graphical_object Image which comes with the parameter dx and dy. You could set these accordingly. Reference: go.Image
Hope this might help

Hi thank you for this proposal. However, in my actual app I will need to add figure elements such as lines on top of the image and therefore I am not sure if this is suitable way to solve my problem.

1 Like

graphical_object allows that, you can place plots on top of each other like so:

fig = go.Figure(data=[image, scatter], layout=layout)
combined_graph = dcc.Graph(figure = fig)

but I am also not sure if it will work for you.

Should the graph be displayed below the table? Should the graph be shown alongside the table (right side)?

I would like the graph to be shown next to the table on the right side. As in the image, but such that it would always fill 60% of the page width.

Well it does, right now.

import dash
from dash import html, dcc, dash_table
import dash_bootstrap_components as dbc
import plotly.express as px
import pandas as pd
import numpy as np


app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server

colors = {"graphBackground": "#F5F5F5", "background": "#ffffff", "text": "#000000"}

img_rgb = np.array(
    [
        [[255, 0, 0], [0, 255, 0], [0, 0, 255]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
    ],
    dtype=np.uint8,
)
df = pd.DataFrame(columns=["A", "B", "C"])

app.layout = html.Div(
    [
        html.H5("Table"),
        html.Div(
            [
                html.Div(
                    [
                        dash_table.DataTable(
                            df.to_dict("records"),
                            [{"name": i, "id": i} for i in df.columns],
                        ),
                    ],
                    style={"width": "30%", "display": "inline-block", "background-color": "darkblue"},
                ),
                html.Div(
                    [
                        dcc.Graph(
                            figure=px.imshow(
                                img_rgb,
                                title="Table ",
                                aspect="auto",
                            ).update_layout({"paper_bgcolor": "gray"}),
                            responsive=True,
                        )
                    ],
                    style={"width": "60%", "display": "inline-block"},
                ),
            ],
            style={"display": "flex"},  # , "justify-content": "space-around"},
        ),
        dbc.InputGroup(
            [
                dcc.Dropdown(
                    ["A", "B", "C"],
                    id={
                        "type": "table_select_test",
                        "index": 100,
                    },
                    placeholder="Select test type",
                    value="",
                    multi=False,
                    clearable=False,
                    style={"width": 300},
                ),
                html.Button(
                    "Add Row",
                    id={"type": "table_add_row", "index": 100},
                    n_clicks=0,
                ),
            ],
            className="mb-3",
        ),
        html.Hr(),
    ]
)


if __name__ == "__main__":
    app.run_server(debug=True, processes=1, threaded=False)

I just added some background color.

Yes, indeed it seems that the div.Graph object is correct width, however the svg inside it seems to be the shrinking part. i.e. the colorful image appears smaller than intended. And I don’t understand why.

Hi, unfortunately the same problem remains with go.Image objects. If I scale up the pixel size in x and y direction the image appears as small as before.

Did you set the margins to zero? That’s the first thing you could try.

fig.update_layout(margin=dict(b=0, t=0,l=0,r=0))

Yes, I have explored changing the margins. While it makes the image appear slightly larger it does not solve the root problem, that is that the height of the image seems to be related to the height of the table next to it.

I think I don’t understand what you are after, unfortunately.

Oh I am sorry to hear that. I would like the image always to fill the full width available and then take as much height as needed. The wanted behavior can be seen if the image is wider, but as soon as the image ratio changes the height of the image somehow limits how big the image appears. Here is an example of expected behavior when the image is wider with just img_rgb = np.array( [ [[255, 0, 0], [0, 255, 0], [0, 0, 255]]])

But as soon as the image is higher it becomes smaller.

With img_rgb = np.array( [ [[255, 0, 0], [0, 255, 0], [0, 0, 255]], [[0, 255, 0], [0, 0, 255], [255, 0, 0]], [[0, 255, 0], [0, 0, 255], [255, 0, 0]], [[0, 255, 0], [0, 0, 255], [255, 0, 0]], [[0, 255, 0], [0, 0, 255], [255, 0, 0]], [[0, 255, 0], [0, 0, 255], [255, 0, 0]], [[255, 0, 0], [0, 255, 0], [0, 0, 255]], [[255, 0, 0], [0, 255, 0], [0, 0, 255]], [[255, 0, 0], [0, 255, 0], [0, 0, 255]], [[255, 0, 0], [0, 255, 0], [0, 0, 255]], ], dtype=np.uint8, )

The image becomes smaller in width, instead of keeping the same width and just expanding further down in the page.

Maybe this clarifies the problem and and the outcome I would like to get? Thank you for your time!

Yes that helps. You basically want to scale your image to have a certain width maintaining the aspect ratio. I actually think, this is not possible, at least, I would not know how to do that right now maintaining the interactivity of the graph.

You can modify the aspect ratio of your figure using scaleanchor and scaleratio however. In the following example I first obtain the figure dimensions. Then I fix the y-axis with respect to the x-axis and apply a scaling factor. First I force the image to be square by w / h and then I bring it into a common display ratio → 16:9.

You could adapt the 16:9 to whatever you like, for example your ratio of div width div height. Just keep in mind, that usually you work with relative values for your layout- in your case 60% of parent width- whreas the dimensions of the figure are fixed by the scaleratio.

import dash
from dash import html, dcc, dash_table
import dash_bootstrap_components as dbc
import plotly.express as px
import pandas as pd
import numpy as np


app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server

colors = {"graphBackground": "#F5F5F5", "background": "#ffffff", "text": "#000000"}

img_rgb = np.array(
    [
        [[255, 0, 0], [0, 255, 0], [0, 0, 255]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
        [[0, 255, 0], [0, 0, 255], [255, 0, 0]],
    ],
    dtype=np.uint8,
)

# get dimensions of image
h, w, _ = img_rgb.shape

df = pd.DataFrame(columns=["A", "B", "C"])

app.layout = html.Div(
    [
        html.H5("Table"),
        html.Div(
            [
                html.Div(
                    [
                        dash_table.DataTable(
                            df.to_dict("records"),
                            [{"name": i, "id": i} for i in df.columns],
                        ),
                    ],
                    style={"width": "30%", "display": "inline-block", "background-color": "darkblue"},
                ),
                html.Div(
                    [
                        dcc.Graph(
                            figure=px.imshow(
                                img_rgb,
                                title="Table ",
                                aspect="auto",
                            ).update_layout(
                                {
                                    "paper_bgcolor": "gray",
                                    'margin': {
                                        "b": 0,
                                        "t": 0,
                                        "l": 0,
                                        "r": 0
                                    },
                                    'yaxis': {
                                        'scaleanchor': 'x',
                                        'scaleratio': w/h * 9/16,
                                        'constrain': 'domain'
                                    }
                                    # ^^ scaling of image
                                }
                            ),
                            responsive=True,
                        )
                    ],
                    style={"width": "60%", "display": "inline-block"},
                ),
            ],
            style={"display": "flex"},  # , "justify-content": "space-around"},
        ),
        dbc.InputGroup(
            [
                dcc.Dropdown(
                    ["A", "B", "C"],
                    id={
                        "type": "table_select_test",
                        "index": 100,
                    },
                    placeholder="Select test type",
                    value="",
                    multi=False,
                    clearable=False,
                    style={"width": 300},
                ),
                html.Button(
                    "Add Row",
                    id={"type": "table_add_row", "index": 100},
                    n_clicks=0,
                ),
            ],
            className="mb-3",
        ),
        html.Hr(),
    ]
)


if __name__ == "__main__":
    app.run_server(debug=True, processes=1, threaded=False)

Hi,

Thank you so much for your assistance. Unfortunately, this approach didn’t solve my problem, as I need to maintain the aspect ratio of the original image. I discovered that by adjusting the height of the Graph object, I can somewhat make it work. However, it’s quite messy because now the Graph object always fills the height of the entire window, whereas I only need it to wrap the image inside it.

If anyone knows how to adjust the height of the dcc.Graph based on the figure inside it, rather than the parent div or the default 450px, I would greatly appreciate your help. Here’s the updated code, which is closer to what I need, although it may make my app appear unprofessional.

dcc.Graph(
          figure=image,
          style={"width": "100%", "height": "100vh"},
          responsive=True,
      )