Wind direction and speed timeline

[AIMPED]

Hi @scelles! We had something similar in the past.

Plot arrow ( given direction - angle) at given coordinates

Hi @yogi_dhiman , if you do not mind the circles instead of arrowheads, you could do something like this: import plotly.graph_objects as go import numpy as np # set data x = np.asarray([0,1,2,3,4,5,6]) y = np.asarray([0,1,2,3,4,5,6]) a = np.asarray([55,-20,34,22,76,-20,-80]) length = 1 # calculate coordinates of second vector point dx = x + np.cos(np.radians(a)) * length dy = y + np.sin(np.radians(a)) * length # add start and end points to array xx = np.c_[x, dx] yy = np.c_[y, dy] # create…

Add a legend on a mutliple axis plot

Hello all. For a monitoring interface, I’m plotting time series which I store in a DataFrame that look like this : temp hum press windspeed winddir date 2025-04-01 13:20:01 -4.25 62.500000 1004.587054 2.66 277.320007 2025-04-01 13:15:01 -4.27 61.000000 1004.580975 3.76 241.729996 2025-04-01 13:10:01 -4.34 60.799999 1004.562020 3.86 242.029999 2025-04-01 13:05:0…

Plotly 3D Cone Plot does not scale the colorbar with the magnitude (norm) of the cones (vectors)

Welcome, @longistamina. I’m not sure, in Python the desired behaviour seems to be the default, doesnt’t it? import plotly.graph_objects as go import pandas as pd df = pd.read_csv( "https://raw.githubusercontent.com/plotly/datasets/master/cone_plot_data.csv" ) fig = go.Figure( data=go.Cone( x=df["x"][:10], y=df["y"][:10], z=df["z"][:10], u=df["u"][:10], v=df["v"][:10], w=df["w"][:10], sizemode="raw", sizeref=0.1, …

Does that help?