Hi community, I have been playing around with Histograms with Plotly Express: Complete Guide | by Vaclav Dekanovsky | Towards Data Science and Categorical Axes | Python | Plotly etc. I got my non-numerical values shown on the y-axis but not sorted the order I want. My y-axis would by yaxis_List…

Have you tried setting the category order? Categorical Axes | Python | Plotly

looks like :slight_smile: I tried the following fig = go.Figure([go.Scatter(x=df['TIMESTAMP'], y=df['STEP'], category_orders = yaxis_List)]) ... fig.update_yaxes(type="category", categoryarray=tuple(yaxis_List), categoryorder='array') fig.update_yaxes(type="category", category_orders=yaxis_List) b…

Works for me: categories_ordered = np.array(["01", "02", "03", "04", "5A", "5B", "06", "07", "08", "09", "10", "30", "31", "40", "41", "50", "51"]) categories_shuffled = categories_ordered.copy() np.random.shuffle(categories_shuffled) values = np.arange(categories_shuffled.shape[0]) fig = px.bar( …

[image] RenaudLN: category_orders={"x": categories_ordered} I’m sorry that I was not clear enough but the array shall be on the y-axis (vertical axis)

Should work exactly the same on the vertical axis?

not exactly i import numpy as np import plotly.express as px import pandas as pd categories_ordered = np.array(["01", "02", "03", "04", "5A", "5B", "06", "07", "08", "09", "10", "30", "31", "40", "41", "50", "51"]) categories_shuffled = categories_ordered.copy() np.random.shuffle(categories_shuff…

px.bar( pd.DataFrame(np.c_[vals_shuffled, values], columns=["x", "y"]), x="y", y="x", category_orders={"x": vals_ordered}, orientation="h" ) [image] This?

rather this x-axis: time/date y-axis: category [image] (painted in PowerPoint)

any chance to get my painted chart done with plotly?

Order non-numeric y-axis

📊 Plotly Python

PackElend May 28, 2021, 2:43pm 9

rather this
x-axis: time/date
y-axis: category

(painted in PowerPoint)

:mega: Dash v1.21.0 - Plotly.js 2.0, Icicle Charts, Bar Chart Patterns, Clipboard Component, Bug Fixes

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Order non-numeric y-axis

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