I'm using Plotly to produce a similar graph from https://plotly.com/python/horizontal-bar-charts/, section "Color Palette for Bar Chart".
Here's the code, based on the reference link, but with few modifications (values in x_data and showlegend = True) to show my problem:
import plotly.graph_objects as go
top_labels = ['Strongly<br>agree', 'Agree', 'Neutral', 'Disagree',
'Strongly<br>disagree']
colors = ['rgba(38, 24, 74, 0.8)', 'rgba(71, 58, 131, 0.8)',
'rgba(122, 120, 168, 0.8)', 'rgba(164, 163, 204, 0.85)',
'rgba(190, 192, 213, 1)']
x_data = [[21, 30, 21, 16, 12],
[24, 31, 19, 15, 11],
[27, 26, 23, 11, 13],
[29, 24, 15, 18, 14]]
y_data = ['The course was effectively<br>organized',
'The course developed my<br>abilities and skills ' +
'for<br>the subject', 'The course developed ' +
'my<br>ability to think critically about<br>the subject',
'I would recommend this<br>course to a friend']
fig = go.Figure()
for i in range(0, len(x_data[0])):
for xd, yd in zip(x_data, y_data):
fig.add_trace(go.Bar(
x=[xd[i]], y=[yd],
orientation='h',
marker=dict(
color=colors[i],
line=dict(color='rgb(248, 248, 249)', width=1)
)
))
fig.update_layout(
xaxis=dict(
showgrid=False,
showline=False,
showticklabels=False,
zeroline=False,
domain=[0.15, 1]
),
yaxis=dict(
showgrid=False,
showline=False,
showticklabels=False,
zeroline=False,
),
barmode='stack',
paper_bgcolor='rgb(248, 248, 255)',
plot_bgcolor='rgb(248, 248, 255)',
margin=dict(l=120, r=10, t=140, b=80),
showlegend=True, ###changed here
)
annotations = []
for yd, xd in zip(y_data, x_data):
# labeling the y-axis
annotations.append(dict(xref='paper', yref='y',
x=0.14, y=yd,
xanchor='right',
text=str(yd),
font=dict(family='Arial', size=14,
color='rgb(67, 67, 67)'),
showarrow=False, align='right'))
# labeling the first percentage of each bar (x_axis)
annotations.append(dict(xref='x', yref='y',
x=xd[0] / 2, y=yd,
text=str(xd[0]) + '%',
font=dict(family='Arial', size=14,
color='rgb(248, 248, 255)'),
showarrow=False))
# labeling the first Likert scale (on the top)
if yd == y_data[-1]:
annotations.append(dict(xref='x', yref='paper',
x=xd[0] / 2, y=1.1,
text=top_labels[0],
font=dict(family='Arial', size=14,
color='rgb(67, 67, 67)'),
showarrow=False))
space = xd[0]
for i in range(1, len(xd)):
# labeling the rest of percentages for each bar (x_axis)
annotations.append(dict(xref='x', yref='y',
x=space + (xd[i]/2), y=yd,
text=str(xd[i]) + '%',
font=dict(family='Arial', size=14,
color='rgb(248, 248, 255)'),
showarrow=False))
# labeling the Likert scale
if yd == y_data[-1]:
annotations.append(dict(xref='x', yref='paper',
x=space + (xd[i]/2), y=1.1,
text=top_labels[i],
font=dict(family='Arial', size=14,
color='rgb(67, 67, 67)'),
showarrow=False))
space += xd[i]
fig.update_layout(annotations=annotations)
fig.show()
Bar Chart showing multiple equal traces as legend
Here's what I've got:
I'd like to:
remove these horizontal labels on top, since there are 0% for some of them and so the text alignment gets weird (know that top_labels = ['','','','',''] would do the trick, but then how to show that previous content in legend?) and then show the right labels in legend -- that is, instead of showing 4 times the same color for traces, show each only once with appropriate title.
Like this: Bar Chart with unique labesl in legend
How can I do that properly?
[Showing these labels instead of trace 0, ... , trace 19, when hovering over the plot is of interest too.]
Thanks in advance!
