Categorical Scatter Plot with Plotly

Question

I am trying to draw a scatter plot with numerical x-values that are discrete. The problem is that Plotly interprets the values as continuous and the resulting dots are not evenly spaced. In Seaborn I could solve this problem by converting the x-values to str, but this doesn't work in Plotly. Any solutions? MWE below:

4489058292 0.60 4600724046 0.26 6102975308 0.19 6122589624 0.10 4467367136 1.67 6008680375 2.50 4588967207 0.21 4941295226 0.34 4866979526 0.18 4906915418 0.38

test_df = pd.read_clipboard(sep="\s+", names=["ID", "Value"], index_col=0) fig = px.scatter( test_df, x=test_df.index.astype(str), y=test_df, ) fig.update_layout(showlegend=False)

The expected output is just one in which the x-values are treated as categorical so that the dots are evenly spaced. I’ll add the expected output in a bit. — K G
– K G, Commented May 18, 2020 at 11:57

Ben.T · Accepted Answer · 2020-05-18 12:08:28Z

IIUC, in the update_layout, you can specify the xaxis_type to be category like:

fig = px.scatter( test_df, x=test_df.index, #no need of str here y=test_df, ) fig.update_layout(showlegend=False, xaxis_type='category') #add this

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