Plotly-express-15-plotly实现水平柱状图（h）
本文中介绍的是如何在plotly中实现水平方向的柱状图：
- px.bar(oritention=“h”)
- go.Bar(oritention="h)
Horizontal Bar Chart with Plotly Express
demo
代码语言：javascript复制import plotly.express as px
df = px.data.tips()
fig = px.bar(df, x="total_bill", y="day", orientation='h')
fig.show()
Configure horizontal bar chart
In this example a column is used to color the bars, and we add the information from other columns to the hover data.
代码语言：javascript复制import plotly.express as px
df = px.data.tips()
fig = px.bar(df, x="total_bill", y="sex", color='day', orientation='h',
hover_data=["tip", "size"], # 悬停数据
height=400, # 高度
title='Restaurant bills') # 标题
fig.show()
Horizontal Bar Chart with go.Bar
demo
代码语言：javascript复制import plotly.graph_objects as go
fig = go.Figure(go.Bar(
x=[20, 14, 23],
y=['giraffes', 'orangutans', 'monkeys'],
orientation='h'))
fig.show()
Colored Horizontal Bar Chart
代码语言：javascript复制import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(go.Bar(
y=['giraffes', 'orangutans', 'monkeys'],
x=[20, 14, 23],
name='SF Zoo',
orientation='h',
marker=dict(
color='rgba(246, 78, 139, 0.6)',
line=dict(color='rgba(246, 78, 139, 1.0)', width=3)
)
))
fig.add_trace(go.Bar(
y=['giraffes', 'orangutans', 'monkeys'],
x=[12, 18, 29],
name='LA Zoo',
orientation='h',
marker=dict(
color='rgba(58, 71, 80, 0.6)',
line=dict(color='rgba(58, 71, 80, 1.0)', width=3)
)
))
fig.update_layout(barmode='stack')
fig.show()
Color Palette for Bar Chart
代码语言：javascript复制import plotly.graph_objects as go
# 最上面的属性，添加了Give up
top_labels = ['Strongly<br>agree', 'Agree', 'Neutral', 'Disagree',
'Strongly<br>disagree', 'Give<br>up']
# 每行数据中每个框的颜色
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)','rgba(224, 210, 240, 10)']
# xy的数据
x_data = [[16, 30, 21, 16, 12, 5],
[24, 21, 19, 10, 15, 11],
[7, 26, 23, 11, 13, 20],
[29, 10, 15, 18, 14, 14],
]
# 左侧的属性
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( # 每个方框都是一个trace
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)', # 整个画布和图片的背景色
plot_bgcolor='rgb(248, 248, 255)',
margin=dict(l=120, r=10, t=140, b=80),
showlegend=False,
)
annotations = [] # 添加注解
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) # 注解
fig.show()
