以下来自 Plotly 的示例供参考:
将 plotly.express 导入为 pxdf = px.data.gapminder().query("大陆 == '欧洲' 和年份 == 2007 和流行 > 2.e6")fig = px.bar(df, y='pop', x='country', text='pop')fig.update_traces(texttemplate='%{text:.2s}', textposition='outside')fig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')图.show()如何去掉pop"这个词.
<小时>我想隐藏'value'的y轴标题.
以下语法不起作用.
fig.update_yaxes(showticklabels=False)谢谢.
您需要在 fig.update_yaxes() 内使用 visible=False 或fig.update_layout() 如下.有关更多详细信息，请参阅
说，您隐藏了两个轴的标题.默认情况下 plotly仍然会在图形周围留下默认的空间量:这在 Plotly 的文档中称为 margin.
如果你想减少甚至完全去除边距怎么办?
这可以使用 fig.update_layout(margin=dict(l = ..., r = ..., t = ..., b = ...)) 来完成在文档中:
事实证明，Plotly 有一个方便的速记符号允许 dict-flattening 可用于输入参数，例如:
## 下面的所有三种方法都是等价的# 没有 dict-flattening# layout = 以 yaxis 为键的 dict布局 = {'yaxis': {'title': 'y-label',可见":错误，'showticklabels':错误}}# 部分字典扁平化# layout_yaxis = 带有键名的字典# 标题，可见，showticklabelslayout_yaxis = {'title': 'y-label',可见":错误，'showticklabels':错误}# 完成 dict-flattening# 每个键名的 layout_yaxis_key-namelayout_yaxis_title = 'y-标签'layout_yaxis_visible = Falselayout_yaxis_showticklabels = False现在尝试运行以下所有三个并比较输出.
import plotly.graph_objects as go# 方法一:最短(不太详细)fig = go.Figure(数据=[go.Bar(y=[2, 1, 3])],layout_title_text=显示自身的图形",layout_yaxis_visible = False,layout_xaxis_title = 'x-标签')图.show()# Method-2: 混合字典和下划线分隔语法fig = go.Figure(数据=[go.Bar(y=[2, 1, 3])],layout_title_text=显示自身的图形",layout_xaxis_title = 'x-标签',layout_yaxis = {'title': 'y-label',可见":错误，'showticklabels':错误})图.show()# Method-3:完整的dict语法fig = go.Figure(数据=[go.Bar(y=[2, 1, 3])],layout_title_text=显示自身的图形",布局 = {'xaxis': {'title': 'x-label',可见":是的，'showticklabels': True},'yaxis': {'title': 'y-label',可见":错误，'showticklabels':错误}})图.show()Editing: The following example from Plotly for reference:
import plotly.express as px
df = px.data.gapminder().query("continent == 'Europe' and year == 2007 and pop > 2.e6")
fig = px.bar(df, y='pop', x='country', text='pop')
fig.update_traces(texttemplate='%{text:.2s}', textposition='outside')
fig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')
fig.show()
How to remove the word 'pop'.
What I want to hide the y-axis title of'value'.
The following syntax doesn't work.
fig.update_yaxes(showticklabels=False)
Thanks.
You need to use visible=False inside fig.update_yaxes() or
fig.update_layout() as follows. For more details see the
documentation for plotly.graph_objects.Figure.
# Option-1: using fig.update_yaxes()
fig.update_yaxes(visible=False, showticklabels=False)
# Option-2: using fig.update_layout()
fig.update_layout(yaxis={'visible': False, 'showticklabels': False})
# Option-3: using fig.update_layout() + dict-flattening shorthand
fig.update_layout(yaxis_visible=False, yaxis_showticklabels=False)
Try doing the following to test this:
# Set the visibility ON
fig.update_yaxes(title='y', visible=True, showticklabels=False)
# Set the visibility OFF
fig.update_yaxes(title='y', visible=False, showticklabels=False)
You can do this directly by using the layout keyword and
supplying a dict to go.Figure() constructor.
import plotly.graph_objects as go
fig = go.Figure(
data=[go.Bar(y=[2, 1, 3])],
layout_title_text="A Figure Displaying Itself",
layout = {'xaxis': {'title': 'x-label',
'visible': True,
'showticklabels': True},
'yaxis': {'title': 'y-label',
'visible': False,
'showticklabels': False}
}
)
fig
Say, you suppressed the titles for both the axes. By default plotly
would still leave a default amount of space all around the figure:
this is known as the margin in Plotly's documention.
What if you want to reduce or even completely remove the margin?
This can be done using fig.update_layout(margin=dict(l = ..., r = ..., t = ..., b = ...)) as mentioned in the documentation:
In the following example, I have reduced the left, right
and bottom margins to 10 px and set the top margin to 50 px.
import plotly.graph_objects as go
fig = go.Figure(
data=[go.Bar(y=[2, 1, 3])],
layout_title_text="A Figure with no axis-title and modified margins",
layout = {
'xaxis': {'title': 'x-label',
'visible': False,
'showticklabels': True},
'yaxis': {'title': 'y-label',
'visible': False,
'showticklabels': False},
# specify margins in px
'margin': dict(
l = 10, # left
r = 10, # right
t = 50, # top
b = 10, # bottom
),
},
)
fig
It turns out that Plotly has a convenient shorthand notation allowing dict-flattening available for input arguments such as this:
## ALL THREE METHODS BELOW ARE EQUIVALENT
# No dict-flattening
# layout = dict with yaxis as key
layout = {'yaxis': {'title': 'y-label',
'visible': False,
'showticklabels': False}
}
# Partial dict-flattening
# layout_yaxis = dict with key-names
# title, visible, showticklabels
layout_yaxis = {'title': 'y-label',
'visible': False,
'showticklabels': False}
# Complete dict-flattening
# layout_yaxis_key-name for each of the key-names
layout_yaxis_title = 'y-label'
layout_yaxis_visible = False
layout_yaxis_showticklabels = False
Now try running all three of the following and compare the outputs.
import plotly.graph_objects as go
# Method-1: Shortest (less detailed)
fig = go.Figure(
data=[go.Bar(y=[2, 1, 3])],
layout_title_text="A Figure Displaying Itself",
layout_yaxis_visible = False,
layout_xaxis_title = 'x-label'
)
fig.show()
# Method-2: A hibrid of dicts and underscore-separated-syntax
fig = go.Figure(
data=[go.Bar(y=[2, 1, 3])],
layout_title_text="A Figure Displaying Itself",
layout_xaxis_title = 'x-label',
layout_yaxis = {'title': 'y-label',
'visible': False,
'showticklabels': False}
)
fig.show()
# Method-3: A complete dict syntax
fig = go.Figure(
data=[go.Bar(y=[2, 1, 3])],
layout_title_text="A Figure Displaying Itself",
layout = {'xaxis': {'title': 'x-label',
'visible': True,
'showticklabels': True},
'yaxis': {'title': 'y-label',
'visible': False,
'showticklabels': False}
}
)
fig.show()
这篇关于如何隐藏 plotly yaxis 标题(在 python 中)?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持跟版网！