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I have a sample dataframe which looks like this:

 894385426F4B81 8932F0978F4B80 89434C3243F4B81 899AD7554F4B80 metric 82.557 227.063 9.193 91.205 

But when I generate a table with plotly dash:

def generate_table(dataframe, max_rows=10): return html.Table([ html.Thead( html.Tr( [html.Th(col) for col in dataframe.columns]) ), html.Tbody([ html.Tr([ html.Td(dataframe.iloc[i][col]) for col in dataframe.columns ]) for i in range(min(len(dataframe), max_rows)) ]) ]) app = dash.Dash(__name__) app.layout = html.Div([ html.H4(children='table name'), generate_table(output) ]) 

I see this table with this index name:

index 894385426F4B81 8932F0978F4B80 89434C3243F4B81 899AD7554F4B80 metric 82.557 227.06299999999996 9.193 91.205 

I pulling my hair out to get rid of the name index

for the dataframe itself this works, means I see the dataframe in my terminal without index:

output = output.rename_axis(None, axis=0) 

I also tried:

output = output.rename_axis('', axis=1) output = output.index.set_names(['']) output.columns.name = None output.index.name = None 

Nothing helps!

Btw, I need to use output = output.reset_index(), otherwise plotly dash doesn't print "metric"

1 Answer 1

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reset_index automatically adds index as column name. Rename index column as empty string after reset_index if you don't need to display it:

output.reset_index().rename(columns={'index': ''}) 894385426F4B81 8932F0978F4B80 89434C3243F4B81 899AD7554F4B80 0 metric 82.557 227.063 9.193 91.205 
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