我有 2 个热图，我试图将它们连接在一起，一个包含每周数据，另一个包含 6W/YTD 信息。我把它们分开，这样它们的颜色就不会歪斜。
当它们放在子图中时，右侧的 yaxis 标签是左侧的第一行标签
我想删除那个 yaxis 标签，并尝试通过 fig.update_yaxes(title=''/None/False) ，还有 title_text论点，我也尝试通过 fig['layout']['scenes']['yaxis2']['title'] = ''/None/False 访问它.似乎很多资源(包括官方文档)都展示了如何更改单个数字，这可以通过我的代码进行演示
fig1['layout']['yaxis']['title']='This works with a single plot'
fig1.show()
fig2 时不会结转被添加到子图中。我不确定这个任务是如何发生的。我已经查看了 JSON 结构并没有看到任何分配，我还在他们的文档中挖掘了结构以查看是否有我可以覆盖或设置的内容。有人可以帮我弄清楚如何隐藏 fig2 yaxis标签？询问如何手动设置它可能更准确，但仍然如此。*编辑*
我仔细查看了注释。数字注释是用这个位设置的
annotations=wow_annot+totals_annot
wow['data_labels'] = int_to_str(wow['data'])
totals['data_labels'] = int_to_str(totals['data'])
(Pdb) [i for i in fig1.layout.annotations if i.text == 'A']
[]
(Pdb) [i for i in fig2.layout.annotations if i.text == 'A']
[]
(Pdb) [i for i in fig.layout.annotations if i.text == 'A']
[layout.Annotation({
'font': {'size': 16},
'showarrow': False,
'text': 'A',
'textangle': 90,
'x': 0.98,
'xanchor': 'left',
'xref': 'paper',
'y': 0.5,
'yanchor': 'middle',
'yref': 'paper'
})]
new_annot = []
for i in fig.layout.annotations:
if i.text == wow['y_labels']['labels'][0]:
i.text = ''
new_annot.append(i)
fig.update_layout(annotations=new_annot)
仔细检查后，我也意识到底行的前两列没有注释，尽管它们的原始图中有注释
(Pdb) fig1.layout.annotations[:2]
(layout.Annotation({
'font': {'color': 'black'}, 'showarrow': False, 'text': '0', 'x': 'W21', 'xref': 'x', 'y': 'A', 'yref': 'y'
}), layout.Annotation({
'font': {'color': 'black'}, 'showarrow': False, 'text': '0', 'x': 'W22', 'xref': 'x', 'y': 'A', 'yref': 'y'
}))
Checking `wow_annot+totals_annot` for `W21:A` annotation
layout.Annotation({
'font': {'color': 'black'}, 'showarrow': False, 'text': '0', 'x': 'W21', 'xref': 'x', 'y': 'A', 'yref': 'y'
})
Checking the final `fig` for `W21:A` annotation
> d:\test_subplots.py(178)<module>()
-> fig.show()
(Pdb) len([i for i in totals_annot if i.y == 'A'])
2
(Pdb) len([i for i in wow_annot if i.y == 'A'])
6
(Pdb) len([i for i in totals_annot+wow_annot if i.y == 'A'])
8
(Pdb) len([i for i in fig.layout.annotations if i.y == 'A'])
6
我在下面分离了我的代码，粘贴可用 here .
进口
# Success Criteria for this exercise is a subplot containing 2 Heatmaps side by side in the same Figure
from pdb import set_trace
from covidDash.plot_handlers.colorscales import bone_r # this is a custom derived from matplotlib
from plotly.subplots import make_subplots
import plotly.figure_factory as ff
import plotly.graph_objects as go
# DATA PREP SECTION
# wow Heatmap data
wow = {'x_labels' : {'name' : 'Week',
'labels' : ['W21', 'W22', 'W23', 'W24', 'W25', 'W26']
},
'y_labels' : {'name' : 'Site',
'labels' : ['A', 'B', 'C', 'D', 'E', 'F', 'G']
},
'data' : [
[0, 0, 1, 0, 0, 0],
[0, 0, 3, 1, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1],
[0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0]
],
'data_labels' : []
}
# 6w and YTD Heatmap data
totals = {'x_labels' : {'name' : 'Week',
'labels' :['6W', 'YTD' ]
},
'y_labels' : wow['y_labels'],
'data' : [
[1, 16],
[4, 8],
[0, 1],
[1, 12],
[0, 5],
[1, 17],
[0, 1]
],
'data_labels' : []
}
# this function is simply a base func for now
def int_to_str(arr2d):
"""base function for handling data to label conversion
Args:
arr2d (list): a 2D array with numeric values
Returns:
r_data (list): a 2D array with values converted into strings
"""
r_data = []
for row in arr2d:
new_row = []
[new_row.append(str(n)) for n in row]
r_data.append(new_row)
return r_data
wow['data_labels'] = int_to_str(wow['data'])
totals['data_labels'] = int_to_str(totals['data'])
# PLOT PREP SECTION
# colorbar placement
wow_cbar= {
'x' : 1.0,
'title' : {
'text' : 'Wow',
'side' : 'right'
}
}
total_cbar = {
'x' : 1.05,
'title' : {
'text' : 'Totals',
'side' : 'right'
}
}
# xaxis conf
xaxis_conf={'rangeslider': {'visible': True},
'type' : 'category',
'side' : 'top'
}
# week over week figure
fig1 = ff.create_annotated_heatmap(x=wow['x_labels']['labels'],
y=wow['y_labels']['labels'],
z=wow['data'],
colorscale=bone_r,
font_colors=['black','white'],
showscale=True,
annotation_text=wow['data_labels'],
colorbar=wow_cbar,
name='Wow'
)
# 6W and YTD
fig2 =ff.create_annotated_heatmap(x=totals['x_labels']['labels'],
y=totals['y_labels']['labels'],
z=totals['data'],
colorscale=bone_r,
font_colors=['black','white'],
showscale=True,
annotation_text=totals['data_labels'],
colorbar=total_cbar,
name='Totals',
)
# SUBPLOT PREP SECTION
# base subplot
fig = make_subplots(
rows=1, cols=2,
shared_yaxes=True,
horizontal_spacing=0,
row_titles=wow['y_labels']['labels'],
# y_title=[wow['y_labels']['name'],
x_title=wow['x_labels']['name'],
column_widths=[0.75, 0.25]
)
# add data
fig.add_trace(fig1.data[0], 1, 1)
fig.add_trace(fig2.data[0], 1, 2)
# apply annotations
wow_annot = list(fig1.layout.annotations)
totals_annot = list(fig2.layout.annotations)
for k in range(len(totals_annot)):
totals_annot[k]['xref'] = 'x2'
totals_annot[k]['yref'] = 'y2'
fig.update_layout(annotations=wow_annot+totals_annot,xaxis=xaxis_conf, xaxis2={'side':'top'})
set_trace()
fig.show()
最佳答案
fig.update_layout(annotations=foo) 出了点问题，我能够通过重新排列直接应用注释来解决这个问题
fig.update_layout(xaxis=xaxis_conf, xaxis2={'side':'top'})
fig['layout']['annotations'] = wow_annot+totals_annot
至于
.update_layout的具体问题是什么，我不确定，但如果 yaxis_title=foo，这就是解决此问题的方法没有为你工作。
关于python - 抑制绘图子图中的 y 轴标签，注释未对齐，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/62665912/