The answer:
Without changing the data source, a complete replacement of names both in the legend
, legendgroup
and hovertemplate
will require:
newnames = {'col1':'hello', 'col2': 'hi'}
fig.for_each_trace(lambda t: t.update(name = newnames[t.name],
legendgroup = newnames[t.name],
hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])
)
)
Plot:
The details:
Using
fig.for_each_trace(lambda t: t.update(name = newnames[t.name]))
…you can change the names in the legend without ghanging the source by using a dict
newnames = {'col1':'hello', 'col2': 'hi'}
…and map new names to the existing col1
and col2
in the following part of the figure structure (for your first trace, col1
):
{'hovertemplate': 'variable=col1<br>index=%{x}<br>value=%{y}<extra></extra>',
'legendgroup': 'col1',
'line': {'color': '#636efa', 'dash': 'solid'},
'mode': 'lines',
'name': 'hello', # <============================= here!
'orientation': 'v',
'showlegend': True,
'type': 'scatter',
'x': array([0, 1, 2], dtype=int64),
'xaxis': 'x',
'y': array([1, 2, 3], dtype=int64),
'yaxis': 'y'},
But as you can see, this doesn’t do anything with 'legendgroup': 'col1'
, nor 'hovertemplate': 'variable=col1<br>index=%{x}<br>value=%{y}<extra></extra>'
And depending on the complexity of your figure, this can pose a problem. So I would add legendgroup = newnames[t.name]
and hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])
into the mix.
Complete code:
import pandas as pd
import plotly.express as px
from itertools import cycle
d = {'col1': [1, 2, 3], 'col2': [3, 4, 5]}
df = pd.DataFrame(data=d)
fig = px.line(df, x=df.index, y=['col1', 'col2'])
newnames = {'col1':'hello', 'col2': 'hi'}
fig.for_each_trace(lambda t: t.update(name = newnames[t.name],
legendgroup = newnames[t.name],
hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])
)
)