Reputation: 323
How can I add hover information from the column "value" to this figure?
import plotly-graph_objects as go
fig = go.Figure()
fig.add_trace(go.Scatter(x = df.category,
y = df.type,
mode='markers',
marker={"color": df.value,
"colorscale": 'Sunsetdark',
"size": df["size"],
"showscale": True}
),
)
My dataframe looks like this:
category value type size
8 B 95890.0 A 19.171122
35 G 95890.0 B 22.312869
67 V 4113.75 C 20.188301
.
.
.
I tried to pass the argument hoverinfo = df.value
to go.Scatter()
but that does not work. It would work with plotly express but I want to use the plotly graph object. The error says (the invalid elements are the first 10 of my df):
ValueError:
Invalid element(s) received for the 'hoverinfo' property of scatter
Invalid elements include: [95890.0, 69910.0, 4113.75, 40450.0, 77530.0, 67470.0, 97660.03, 644340.03, 79488.89, 45591.7399999998]
The 'hoverinfo' property is a flaglist and may be specified
as a string containing:
- Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
(e.g. 'x+y')
OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
- A list or array of the above
Upvotes: 2
Views: 4461
Reputation: 8663
You could pass df.value
as text
, and then set hoverinfo='text'
. Note that, since you set mode='markers'
, no text will be displayed on the plot itself.
import plotly.graph_objects as go
import pandas as pd
df = pd.DataFrame({'category': ['B', 'G', 'V'],
'value': [95890.0, 95890.0 , 4113.75],
'type': ['A', 'B', 'C'],
'size': [19.171122, 22.312869, 20.188301]})
fig = go.Figure()
fig.add_trace(go.Scatter(x=df.category,
y=df.type,
text=df.value,
hoverinfo='text',
mode='markers',
marker={'color': df.value,
'colorscale': 'Sunsetdark',
'size': df.size,
'showscale': True}))
fig.show()
Upvotes: 3