![]() Print(" Inside result status IF block - firing line drawing FOR loop. In general, for the first: fig.addannotation (xref'x domain',yref'y domain',x0.5, y1. So this can be mostly duplicated using annotation methods. As described in Layout - titles, axes and ticks, by default, the attribute or key for axes in the layout dictionary of a plot are: xaxis and yaxis. MyFig.update_layout(legend=dict(bgcolor='rgba(0,0,0,0)'), paper_bgcolor='rgb(12,12,12)', dragmode='pan') at 8:18 Add a comment 3 Answers Sorted by: 7 +50 When makesubplots is used it's creating (correctly placed) annotations. # Legend Background Transparent Color, 'Paper' background color - plot canvas, sets pan enabled on load MyFig.update_layout(title="BTCUSD 5min", title_x=0.5, yaxis_title="Price", yaxis2_title="Indicator") MyFig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='dimgray')įamily="Microsoft Sans Serif", # Font needs to be installed on system to be accessible ![]() MyFig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='dimgray') in the list if no subplot title is desired in that space so that the titles are properly indexed. ![]() In the following figure, we set the figure-wide font to Courier New in blue, and then override this for certain parts of the figure. Title of each subplot as a list in row-major ordering. MyFig.update_layout(yaxis=) # Displays thousands,hundreds without scientific 'K' notation You can set the figure-wide font with the layout.font attribute, which will apply to all titles and tick labels, but this can be overridden for specific plot items like individual axes and legend titles etc. # Tick value display format - yaxis is for subplots MyFig.update_yaxes(showline=True, linewidth=1, linecolor='dimgray') Apparently subplot titles are annotations ( Subplot font size is hardcoded to 16pt Issue 985 plotly/plotly.py GitHub) Hence you can update the subplots font size using: fig.updateannotations (fontsize12) Hope this helps, Cheers 4 Likes 9eqUoa2vHj March 20, 2021, 5:11pm 3 Thank you, your suggestion worked. MyFig.update_xaxes(showline=True, linewidth=1, linecolor='dimgray') MyFig.update_layout(xaxis_rangeslider_visible=False) MyFig.add_trace(go.Scatter(x=myInputData, y=myInputData, name="Indicator", line=dict(color='rgb(235,140,52)')), row=2, col=1) # Dark orange ![]() # Add Indicator subplot with go.Scatter - works, Line is deprecated automargin Code: fig.updatelayout (titleautomargin) Type: boolean Determines whether the title can automatically push the figure margins.MyFig = make_subplots(rows=2, row_heights=, cols=1, shared_xaxes=True, vertical_spacing=0.02) # Heights must add up to 1 title Code: fig.updatelayout (titledict (.)) Type: dict containing one or more of the keys listed below. I can do it on a static example, like the one I made above â but when I want to add lines, even when I pass the list into my abstracted function for the figure: def måandleChart(myInputData, myResults): # Adding results to pass final result list. Iâm trying to add vertical lines AFTER the chart is drawn, from the output of another function that does some computation, then creates a list of x index numbers. ![]()
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