Modify Annotation or Hover Text on Plotly Graph in Python
Question
I have a dataset , df, where I am trying to modify and add some additional text to the already established hover text.
Here is the data:
POD Start End Diff Percent Date
IAD 4/1/2019 5/1/2019 160.4279 11.10809 04-01-2019 to 05-01-2019
IAD 5/1/2019 6/1/2019 136.0248 8.476798 05-01-2019 to 06-01-2019
IAD 6/1/2019 7/1/2019 174.0513 9.998946 06-01-2019 to 07-01-2019
IAD 7/1/2019 8/1/2019 112.0424 5.851551 07-01-2019 to 08-01-2019
IAD 8/1/2019 9/1/2019 141.8488 6.998691 08-01-2019 to 09-01-2019
IAD 9/1/2019 10/1/2019 103.5522 4.774984 09-01-2019 to 10-01-2019
IAD 10/1/2019 11/1/2019 125.6087 5.528085 10-01-2019 to 11-01-2019
IAD 11/1/2019 12/1/2019 145.2591 6.058016 11-01-2019 to 12-01-2019
IAD 12/1/2019 1/1/2020 115.5121 4.542251 12-01-2019 to 01-01-2020
IAD 1/1/2020 2/1/2020 185.7191 6.985673 01-01-2020 to 02-01-2020
IAD 2/1/2020 3/1/2020 126.7386 4.455896 02-01-2020 to 03-01-2020
IAD 3/1/2020 4/1/2020 231.3461 7.786734 03-01-2020 to 04-01-2020
IAD 4/1/2020 5/1/2020 97.02587 3.02981 04-01-2020 to 05-01-2020
IAD 5/1/2020 6/1/2020 42.85235 1.298792 05-01-2020 to 06-01-2020
IAD 6/1/2020 7/1/2020 124.666 3.729997 06-01-2020 to 07-01-2020
IAD 7/1/2020 8/1/2020 357.9974 10.32609 07-01-2020 to 08-01-2020
IAD 8/1/2020 9/1/2020 490.9587 12.8358 08-01-2020 to 09-01-2020
IAD 9/1/2020 10/1/2020 204.5478 4.739428 09-01-2020 to 10-01-2020
IAD 10/1/2020 11/1/2020 287.6025 6.362292 10-01-2020 to 11-01-2020
SJCtest 4/1/2019 5/1/2019 12.38486 5.780551 04-01-2019 to 05-01-2019
SJCtest 5/1/2019 6/1/2019 -2.61735 -1.15487 05-01-2019 to 06-01-2019
SJCtest 6/1/2019 7/1/2019 -5.6187 -2.50814 06-01-2019 to 07-01-2019
SJCtest 7/1/2019 8/1/2019 3.204252 1.467153 07-01-2019 to 08-01-2019
SJCtest 8/1/2019 9/1/2019 -25.3782 -11.4521 08-01-2019 to 09-01-2019
SJCtest 9/1/2019 10/1/2019 -10.9717 -5.59137 09-01-2019 to 10-01-2019
Here is the code: (A SO member has assisted me with this code)
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
df = pd.read_csv("df.csv")
fig = px.line(df, x="Date", y="Diff", color = 'POD')
import plotly.graph_objects as go
included = 0
lim = {'IAD': {'lower': 90,'upper': 350, 'color':'yellow'},
'SJCtest': {'lower': 10,'upper': 12, 'color':'green'}}
for i, d in enumerate(fig.data):
for j, y in enumerate(d.y):
if y < lim[d.name]['lower'] or y > lim[d.name]['upper']:
if j == 0:
fig.add_traces(go.Scatter(x=[fig.data[i]['x'][j]],
y=[fig.data[i]['y'][j]],
mode = 'markers',
marker = dict(color=lim[d.name]['color']),
name = d.name + ' threshold',
legendgroup = d.name + ' threshold'))
included = included + 1
else:
fig.add_traces(go.Scatter(x=[fig.data[i]['x'][j-1], fig.data[i]['x'][j]],
y=[fig.data[i]['y'][j-1], fig.data[i]['y'][j]],
mode = 'lines',
# marker = dict(color='yellow'),
line = dict(width = 6, color = lim[d.name]['color']),
name = d.name + ' threshold',
legendgroup = d.name + ' threshold',
showlegend = False if included > 0 else True,
))
included = included + 1
fig.show()
Here is the visualization
This looks great, but I wish to add some additional lines to the hover text such as text that appears like this:
POD: IAD
Date: ....(the appropriate date)
Percent: ...(the appropriate percent value)
I have read the documentation and have tried to implement the:
fig = (hover_name="", hover_data=["", ""]
I am not getting the correct result. Any suggestion is appreciated.
2 answers
solution1
1 2020-11-11 02:33:48
Try these steps:
- Add the parameter hover_data to your fig when calling px.line :
fig = px.line(df, x="Date", y="Diff", color = 'POD', hover_data=['POD','Date','Percent'])
- Add the parameter customdata = fig.data[i].customdata to both of your go.Scatter calls.
- Define your desired hover template:
template = """
<b>POD:</b> %{customdata[0]}<br>
<b>Date:</b> %{x}<br>
<b>Percent:</b> %{customdata[2]:.2f}%
<extra></extra>
"""
- Finally, you can change the hovertemplate with:
fig.update_traces(hovertemplate=template)
Hope it works.
The whole code would be like this:
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
df = pd.read_csv("df.csv")
fig = px.line(df, x="Date", y="Diff", color = 'POD', hover_data=['POD','Date','Percent']) # modified line
included = 0
lim = {'IAD': {'lower': 90,'upper': 350, 'color':'yellow'},
'SJCtest': {'lower': 10,'upper': 12, 'color':'green'}}
for i, d in enumerate(fig.data):
for j, y in enumerate(d.y):
if y < lim[d.name]['lower'] or y > lim[d.name]['upper']:
if j == 0:
fig.add_traces(go.Scatter(x=[fig.data[i]['x'][j]],
y=[fig.data[i]['y'][j]],
customdata = fig.data[i].customdata, # newline
mode = 'markers',
marker = dict(color=lim[d.name]['color']),
name = d.name + ' threshold',
legendgroup = d.name + ' threshold'))
included = included + 1
else:
fig.add_traces(go.Scatter(x=[fig.data[i]['x'][j-1], fig.data[i]['x'][j]],
y=[fig.data[i]['y'][j-1], fig.data[i]['y'][j]],
mode = 'lines',
customdata = fig.data[i].customdata, # newline
# marker = dict(color='yellow'),
line = dict(width = 6, color = lim[d.name]['color']),
name = d.name + ' threshold',
legendgroup = d.name + ' threshold',
showlegend = False if included > 0 else True,
))
included = included + 1
# custom template
template = """
<b>POD:</b> %{customdata[0]}<br>
<b>Date:</b> %{x}<br>
<b>Percent:</b> %{customdata[2]:.2f}%
<extra></extra>
"""
fig.update_traces(hovertemplate=template) #newline
fig.show()
solution2
1 ACCPTED 2020-11-11 06:34:00
Just inlclude the following in fig.add_traces(go.Scatter() when you're adding your highlighted series:
hovertemplate = 'POD='+d.name+'<br>Date=%{x}<br>Diff=%{y}<extra></extra>'
Plot
Complete code:
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
df = pd.DataFrame({'POD': {0: 'IAD',
1: 'IAD',
2: 'IAD',
3: 'IAD',
4: 'IAD',
5: 'IAD',
6: 'IAD',
7: 'IAD',
8: 'IAD',
9: 'IAD',
10: 'IAD',
11: 'IAD',
12: 'IAD',
13: 'IAD',
14: 'IAD',
15: 'IAD',
16: 'IAD',
17: 'IAD',
18: 'IAD',
19: 'SJCtest',
20: 'SJCtest',
21: 'SJCtest',
22: 'SJCtest',
23: 'SJCtest',
24: 'SJCtest'},
'Start': {0: '4/1/2019',
1: '5/1/2019',
2: '6/1/2019',
3: '7/1/2019',
4: '8/1/2019',
5: '9/1/2019',
6: '10/1/2019',
7: '11/1/2019',
8: '12/1/2019',
9: '1/1/2020',
10: '2/1/2020',
11: '3/1/2020',
12: '4/1/2020',
13: '5/1/2020',
14: '6/1/2020',
15: '7/1/2020',
16: '8/1/2020',
17: '9/1/2020',
18: '10/1/2020',
19: '4/1/2019',
20: '5/1/2019',
21: '6/1/2019',
22: '7/1/2019',
23: '8/1/2019',
24: '9/1/2019'},
'End': {0: '5/1/2019',
1: '6/1/2019',
2: '7/1/2019',
3: '8/1/2019',
4: '9/1/2019',
5: '10/1/2019',
6: '11/1/2019',
7: '12/1/2019',
8: '1/1/2020',
9: '2/1/2020',
10: '3/1/2020',
11: '4/1/2020',
12: '5/1/2020',
13: '6/1/2020',
14: '7/1/2020',
15: '8/1/2020',
16: '9/1/2020',
17: '10/1/2020',
18: '11/1/2020',
19: '5/1/2019',
20: '6/1/2019',
21: '7/1/2019',
22: '8/1/2019',
23: '9/1/2019',
24: '10/1/2019'},
'Diff': {0: 160.4279,
1: 136.0248,
2: 174.0513,
3: 112.0424,
4: 141.8488,
5: 103.5522,
6: 125.6087,
7: 145.2591,
8: 115.5121,
9: 185.7191,
10: 126.7386,
11: 231.3461,
12: 97.02587,
13: 42.85235,
14: 124.666,
15: 357.9974,
16: 490.9587,
17: 204.5478,
18: 287.6025,
19: 12.38486,
20: -2.61735,
21: -5.6187,
22: 3.204252,
23: -25.3782,
24: -10.9717},
'Percent': {0: 11.108089999999999,
1: 8.476797999999999,
2: 9.998946,
3: 5.851551000000001,
4: 6.998691,
5: 4.774984,
6: 5.528085,
7: 6.058016,
8: 4.542251,
9: 6.985672999999999,
10: 4.455896,
11: 7.786734,
12: 3.02981,
13: 1.298792,
14: 3.729997,
15: 10.326089999999999,
16: 12.8358,
17: 4.739428,
18: 6.362292,
19: 5.780551,
20: -1.15487,
21: -2.50814,
22: 1.4671530000000002,
23: -11.4521,
24: -5.5913699999999995},
'Date': {0: '04-01-2019 to 05-01-2019',
1: '05-01-2019 to 06-01-2019',
2: '06-01-2019 to 07-01-2019',
3: '07-01-2019 to 08-01-2019',
4: '08-01-2019 to 09-01-2019',
5: '09-01-2019 to 10-01-2019',
6: '10-01-2019 to 11-01-2019',
7: '11-01-2019 to 12-01-2019',
8: '12-01-2019 to 01-01-2020',
9: '01-01-2020 to 02-01-2020',
10: '02-01-2020 to 03-01-2020',
11: '03-01-2020 to 04-01-2020',
12: '04-01-2020 to 05-01-2020',
13: '05-01-2020 to 06-01-2020',
14: '06-01-2020 to 07-01-2020',
15: '07-01-2020 to 08-01-2020',
16: '08-01-2020 to 09-01-2020',
17: '09-01-2020 to 10-01-2020',
18: '10-01-2020 to 11-01-2020',
19: '04-01-2019 to 05-01-2019',
20: '05-01-2019 to 06-01-2019',
21: '06-01-2019 to 07-01-2019',
22: '07-01-2019 to 08-01-2019',
23: '08-01-2019 to 09-01-2019',
24: '09-01-2019 to 10-01-2019'}})
fig = px.line(df, x="Date", y="Diff", color = 'POD')
import plotly.graph_objects as go
included = 0
lim = {'IAD': {'lower': 90,'upper': 350, 'color':'yellow'},
'SJCtest': {'lower': 10,'upper': 12, 'color':'green'}}
for i, d in enumerate(fig.data):
for j, y in enumerate(d.y):
if y < lim[d.name]['lower'] or y > lim[d.name]['upper']:
if j == 0:
fig.add_traces(go.Scatter(x=[fig.data[i]['x'][j]],
y=[fig.data[i]['y'][j]],
mode = 'markers',
marker = dict(color=lim[d.name]['color']),
name = d.name + ' threshold',
legendgroup = d.name + ' threshold',
hovertemplate= 'POD=IAD<br>Date=%{x}<br>Percent=%{y}<extra></extra>'))
included = included + 1
else:
fig.add_traces(go.Scatter(x=[fig.data[i]['x'][j-1], fig.data[i]['x'][j]],
y=[fig.data[i]['y'][j-1], fig.data[i]['y'][j]],
mode = 'lines',
# marker = dict(color='yellow'),
line = dict(width = 6, color = lim[d.name]['color']),
name = d.name + ' threshold',
legendgroup = d.name + ' threshold',
showlegend = False if included > 0 else True,
hovertemplate = 'POD='+d.name+'<br>Date=%{x}<br>Diff=%{y}<extra></extra>'
))
included = included + 1
fig.show()
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