The center (x and y axis) of my 2D cartesian graph color not changing accordingly in Plotly?

I have this code that makes a 2D cartesian graph and I came across a strange problem. While the quadrant shapes color is changing according to the code, the ones under #AXIS are not changing to black and remaining white, even though im using the same fig.add_shape function, and specifying a black color. It still… Read More The center (x and y axis) of my 2D cartesian graph color not changing accordingly in Plotly?

How can I convert Plotly graph to a PNG image

I have this Plotly graph, and I’m trying to save it as a png or JPEG file import plotly.graph_objects as go import numpy as np np.random.seed(1) N = 100 x = np.random.rand(N) y = np.random.rand(N) colors = np.random.rand(N) sz = np.random.rand(N) * 30 fig = go.Figure() fig.add_trace(go.Scatter( x=x, y=y, mode="markers", marker=go.scatter.Marker( size=sz, color=colors, opacity=0.6, colorscale="Viridis"… Read More How can I convert Plotly graph to a PNG image

Why I can't change colors of px.scatter?

I am combined px.scatter and px.lines, but can’t change the color_continuous_scale of px.scatter, and also color_continuous_midpoint. Could someone help me, please? import plotly.graph_objs as go import plotly.express as px import pandas as pd def to_pd(a, b, c): p = pd.DataFrame({"Date": a, "Cost": b, ‘Color’: c}) return p fig1 = px.line(x=[1,2,3],y=[10,8,20]) a = [1,2,3,4,5,6] b =… Read More Why I can't change colors of px.scatter?

Plotly hover data and hover text

My input: df=(pd.DataFrame({‘label_color’:[‘white’,’white’,’cyan’,’cyan’,’cyan’,’cyan’,’white’,’white’], ‘label_quality’:[‘white’,’white’,’red’,’green’,’green’,’red’,’white’,’white’], ‘label’:[‘foo’,’foo’,’foo’,’foo’,’foo’,’foo’,’foo’,’foo’]})) My code: df[‘color_value’] = 1 df[‘quality_value’] = 1 fig = px.bar(df, y=[‘color_value’,’quality_value’], x=[1]*len(df), orientation=’h’, barmode=’group’, template=’plotly_white’, hover_data=[df.index.values,df.label]) fig.data[0][‘marker’][‘color’] = df[‘label_color’].tolist() fig.data[1][‘marker’][‘color’] = df[‘label_quality’].tolist() fig.update_traces(marker_line_color=’rgb(8,48,107)’) fig.update_layout(showlegend=False, yaxis_title=’foo’, xaxis_title=”) fig.show() My output: . As you can see, I create some custom plot within bar chart. And now I try make some "glitter",… Read More Plotly hover data and hover text