Regardless of the legend issue, using a single data frame with faceting seems like a more natural approach, given that the grouping variable is the same in each data frame. Give it a try! PlotĬomplete code from plotly.subplots import make_subplotsįig.add_trace(go.Scatter(x=, y=,įig.append_trace(go. I wasn't able to fix the double legend with two separate plots, but you can combine the two data frames to make a single faceted plot. And of course the same goes for the 2018 traces. And all 2017 traces except the first have showlegend=False. fig makesubplots (cols 2) fig.addtrace (go.Bar (x data 'a', y data 'b', row 1, col1) fig.addtrace (go.Bar (x data 'a', y. title, how do i remove the trace 0 and trace 1 in the legend. With the setup below, all 2017 traces are assigned to the same legendgroup="2017". How do i remove legend trace from subplot. I wish to have only 2 legends: 20, instead of 6 legends, easier if all the 2017 has same color along the 3 subplotsĪ correct combination of legendgroup and showlegend should do the trick. I fail to find this sample code on Plotly website.Įdit: this is a sample code: from plotly.subplots import make_subplotsįig.update_layout(height=600, width=600, title_text="Stacked Subplots") I don't need different colors amont different subplot, I can just have 3 different colors and 3 legends for the 3 years on all subplots, would be ideal if I click on for example 2017 that all the 2017 curve/line dissappear across the 25 subplots.Īnyone can share a sample code? it can be 2 instead of 25 for illustration purpose. Problem: I wanted to visualize subplots with their own legends but I was not able to do so natively in Plotly. Grid for plotting joint and marginal distributions of two variables. ![]() I can use the subplot sample code but then all the 75 legends (25 X 3) will be all together with different colors and it's messy. Subplot grid for more flexible plotting of pairwise relationships. In this example, it would be great to have virginica, versicolor, and setosa listed left to right in the legend (instead of top to bottom).For each subplot I have 3 seperate line:2017 ,20 with 3 times "go.Scatter", each subplot represents one country (25 countries) with always these 3 years. Moreover, when placing the legend below the plot, it may look better to have legend items listed horizontally (instead of vertically). Here is an example image of the legend being positioned too low: Because of this, the legend will sometimes accidentally overlap the plot (by being positioned too high up) or be separated from the plot by an awkwardly-large distance (by being positioned too low). However, for pairs of traces which do not include a pie chart, this is possible. However, I notice that this legend position changes based on how I view the plot (the dimensions I make the plot window, etc). I would encourage you to submit an issue to the plotly.py github repository if that is functionality you would like to see in the library. ![]() This issue seems to be subsumed by: plotly/plotly. Legend groups can add a little extra spacing between legend items for separate plots, but with the cost of being able to show/hide individual traces - a major feature of plotly's legends. I am able to get the legend below and centered to the plot by the following: plot_ly(data = iris, x = Sepal.Length, y = Petal.Length, mode = "markers", color = Species) %>% layout(legend = list(x = 0.35, y = -0.5)) Legend groups (as that test uses) don't really solve this problem. The default legend items are positioned vertically and located to the right of the plot, as shown here: plot_ly(data = iris, x = Sepal.Length, y = Petal.Length, mode = "markers", color = Species) One thing I am unable to figure out is how (if it is possible) to reposition legend items so that they are listed horizontally and centered below the plot. If it has only one trace, it is not displayed automatically. ![]() I have been tweaking legends in plotly and R. By default, Plotly chart with multiple traces shows legends automatically.
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