use*_*222 8 python plotly plotly-dash
我需要帮助向图表添加文本。
我尝试过 text = 'y' 和 text-position = 'inside' 但文本会垂直或被挤压成小条形图,以便它可以适合条形图。我只是想让它写下来。
这是需要修复的代码的工作示例:
app = dash.Dash(__name__)
app.css.append_css({'external_url': 'https://codepen.io/amyoshino/pen/jzXypZ.css'})
labels1 = ['0-7', '8-12', '13-15', '16-20', '21-25', '26+']
values1 = [10, 30, 10, 5, 6, 8]
labels2 = ['India', 'Scotland', 'Germany', 'NW England', 'N Ireland', 'Norway', 'NE England', 'Paris', 'North Africa', 'scandinavia']
values2 = [1, 0, 4, 9, 11, 18, 50, 7, 0, 2]
values3 = [10, 111, 75, 20]
labels4 = ['Safety Manager', 'Office Administrator', 'Internal Officer', 'Assistant Producer']
bar_color = ['#f6fbfc', '#eef7fa', '#e6f3f7', '#deeff5', '#d6ebf2', '#cde7f0', '#c5e3ed', '#bddfeb', '#b5dbe8', '#add8e6']
bar_color2 = ['#e6f3f7', '#deeff5', '#d6ebf2', '#cde7f0', '#c5e3ed', '#bddfeb', '#b5dbe8', '#add8e6']
app.layout = html.Div([
html.Div([
html.Div([
dcc.Graph(id = 'age',
figure = {
'data': [go.Bar(x = values1,
y = labels1,
orientation = 'h',
marker=dict(color = bar_color2),
text = labels1,
textposition = 'inside'
)
],
'layout': go.Layout(title = 'Number of respondees per tenure',
yaxis=dict(
zeroline=False,
showline=False,
showgrid = False,
autorange="reversed",
),
xaxis=dict(
zeroline=False,
showline=False,
showgrid = False
)
)
}
)
], className = 'four columns'),
html.Div([
dcc.Graph(id = 'location',
figure = {
'data': [go.Bar(x = values2,
y = labels2,
orientation = 'h',
marker=dict(color = bar_color),
text = labels2,
textposition = 'inside'
)
],
'layout': go.Layout(title = 'Number of respondees per region',
yaxis=dict(
zeroline=False,
showline=False,
showgrid = False,
autorange="reversed",
),
xaxis=dict(
zeroline=False,
showline=False,
showgrid = False
) )
}
)
], className = 'four columns'),
html.Div([
dcc.Graph(id = 'job',
figure = {
'data': [go.Bar(x = values3,
y = labels4,
orientation = 'h',
marker=dict(color = bar_color2),
text = labels4,
textposition = 'inside'
)
],
'layout': go.Layout(title = 'Number of respondees per role',
yaxis=dict(
# automargin=True,
zeroline=False,
showline=False,
showgrid = False,
autorange="reversed",
),
xaxis=dict(
zeroline=False,
showline=False,
showgrid = False
)
)
}
)
], className = 'four columns')
], className = 'row')
])
if __name__ == '__main__':
app.run_server()
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这是输出:
我需要两件事上的帮助:
如果您还可以解释如何修复第三个图表中 y 轴被切断的问题,那就太棒了。现在,我必须更改标签以强制其适合,这非常耗时。有没有办法向容器添加填充物或其他东西?
谢谢。
小智 8
您可以传递text到go.Bar(),您可以在其中设置textposition="inside"和insidetextanchor="start",这应该可以解决这个问题。
fig = go.Figure(go.Bar(
x=[20, 14, 23],
y=['giraffes', 'orangutans', 'monkeys'],
orientation='h',
# define the annotations
text=['giraffes', 'orangutans', 'monkeys'],
# position, "auto", "inside" or "outside"
textposition="auto",
# anchor could be "start" or "end"
insidetextanchor="start",
insidetextfont=dict(family='Times', size=13, color='white'),
outsidetextfont=dict(family='Times', size=13, color='white')))
fig.update_layout(
yaxis=dict(
showticklabels=False,
))
fig.show()
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这是一个不优雅的解决方法,但是在搜索了plotly python 文档之后,我找不到任何可以完全按照您所要求的提供的plotly 属性进行操作的东西。如果您现在需要一次性快速修复,请尝试使用yaxis=dict(showticklabels=False)标签并将其手动添加为注释,例如:
layout = go.Layout(
# Hide the y tick labels
yaxis=dict(
showticklabels=False),
annotations=[
dict(
# I had to try different x values to get alignment
x=0.8,
y='giraffes',
xref='x',
yref='y',
text='Giraffes',
font=dict(
family='Arial',
size=24,
color='rgba(255, 255, 255)'
),
align='left',
# Don't show any arrow
showarrow=False,
),
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您可以查看绘图注释和图表属性文档,看看是否有更适合您需求的内容。
编辑:我在将代码添加到问题之前就开始发布此回复。下面是如何为相关代码中第一个图形的前两个 y 标签进行注释的示例:
app.layout = html.Div([
html.Div([
html.Div([
dcc.Graph(id = 'age',
figure = {
'data': [go.Bar(x = values1,
y = labels1,
orientation = 'h',
marker=dict(color = bar_color2),
text = labels1,
textposition = 'inside'
)
],
'layout': go.Layout(title = 'Number of respondees per tenure',
yaxis=dict(
zeroline=False,
showline=False,
showgrid = False,
showticklabels=False
autorange="reversed",
),
xaxis=dict(
zeroline=False,
showline=False,
showgrid = False
)
),
annotations=[dict(
x=0.8,
y=labels1[0],
xref='x',
yref='y',
text=labels1[0],
font=dict(
family='Arial',
size=24,
color='rgba(255, 255, 255)'
),
align='left',
showarrow=False,
),
dict(
x=1.2,
y=labels1[1],
xref='x',
yref='y',
text=labels1[1],
font=dict(
family='Arial',
size=24,
color='rgba(255, 255, 255)'
),
align='left',
showarrow=False,
),
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编辑2: @ user8322222,要回答评论中的问题,您可以使用列表理解来制作注释字典,如下所示:
annotations1 = [dict(x=(len(labels1[i])*0.15), y=labels1[i], xref='x', yref='y',
text=labels1[i], font=dict(family='Arial', size=24, color='rgba(255, 255, 255)'),
align='left', showarrow=False) for i in range(len(labels1))]
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不过,我不认为有一个常数可以乘以文本的字符长度(就像我在示例中使用的x一样)以获得完美对齐。您可以像本文中那样使用字符串的像素长度或其他度量来设计一种更准确的方法来确定x以使其正确对齐。希望有帮助。
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