I want a simple way to plot multiple figures onto subplots. Below is my code , but there is a problem that right colorbar on each figure can not put in right position, they are overlaped. You know each heatmap contain different values . Create each trace manually, and set to subplot is very time consuming , that’s why I want to reuse the figure , directly draw on subplots. So what should I do to the corlorbar ? import plotly.graph_objects as go from plotly.subplots import make_subplots cols = ['total_trades', 'max_dd', 'win_rate', 'total_return', 'sharpe_ratio', 'calmar_ratio', ] cn=3 rn=int(np.ceil(len(cols)/cn)) pad_titles = cols + (cn*rn - len(cols)) * [''] fig = make_subplots(rows=rn, cols=cn, subplot_titles=pad_titles) for i, c in enumerate(cols): f = s[c].vbt.heatmap() # print(i//cn+1,i%cn+1) for trace in f.data: fig.add_trace(trace, row=i//cn+1, col=i%cn+1) fig.update_layout( height=rn* 600, ) fig.show() [MWXF]

Hi @mithril welcome to the forums. This might be helpful: [image] Colorbar for each facet_col 📊 Plotly Python how can I get colorbar for each facet_col? currently I am getting only one colorbar common for all facetcol.

Thank you for the reference. I found it very complicated to config the colorbar position automatically . I changed trace to cn=3 rn=int(np.ceil(len(cols)/cn)) for i, c in enumerate(cols): # print(i//cn+1,i%cn+1) _r = i//cn+1 _c = i%cn+1 trace = go.Heatmap( z=data, x=data.columns, y=data.index, colorbar=dict(x=floor_point(_c*1/cn-0.05, 3), y=floor_point(_r*1/rn-0.05, 3), title=c, thickness=15), # coloraxis=f'coloraxis{i+1 if i else ""}', ) Stil awful : [QQ图片20230615161001] Very frustrated

Sure, since this site can’t upload csv, I paste it here after_n,days,start,end,total_trades,max_dd,win_rate,total_return,benchmark_retur - Pastebin.com # You need read the csv and set first two columns to index s = pd.read_csv('1.csv').set_index(['after_n', 'days']) import plotly.graph_objects as go from plotly.subplots import make_subplots import math def floor_point(x, num): return math.floor(x*10**num)/10**num cols = ['total_trades', 'max_dd', 'win_rate', 'total_return', 'sharpe_ratio', 'calmar_ratio', ] cn=3 rn=int(np.ceil(len(cols)/cn)) pad_titles = cols + (cn*rn - len(cols)) * [''] fig = make_subplots(rows=rn, cols=cn, subplot_titles=pad_titles, horizontal_spacing=0.15, vertical_spacing=0.08) for i, c in enumerate(cols): # print(i//cn+1,i%cn+1) _r = i//cn+1 _c = i%cn+1 print(_r, _c, floor_point(_c*1/cn-0.05, 2), floor_point(_r*1/rn-0.05, 2)) data = s[c].to_frame().unstack().droplevel(0, axis=1).T print(f'coloraxis{i+1 if i else ""}') trace = go.Heatmap( z=data, x=data.columns, y=data.index, colorbar=dict(x=floor_point(_c*1/cn-0.05, 3), y=floor_point(_r*1/rn-0.05, 3), title=c, thickness=15), ) fig.add_trace(trace, row=i//cn+1, col=i%cn+1) fig.update_layout( height=rn* 600, ) fig.show()

How to subplot heatmap with side bar in right position?

📊 Plotly Python

AIMPED June 15, 2023, 8:16am 4

I agree, it’s a pain.

Could you create a MRE so that we can play around with this?

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How to subplot heatmap with side bar in right position?

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