如何隐藏 plotly yaxis 标题(在 python 中)? [英] how to hide plotly yaxis title (in python)?

问题描述

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.

解决方案

解决方案

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

B.如何在没有边距空间的情况下创建图形

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.

<块引用>

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:

• C.Plotly 的一个有趣功能:隐藏的速记

  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.

  解决方案

  Solution

  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)
  

  A. How to create the figure directly with hidden-yaxis label and tickmarks

  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
  

  B. How to create the figure without the margin space around

  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:

  • https://plotly.com/python/reference/#layout-margin.

  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
  

  C. An Interesting Feature of Plotly: A hidden shorthand

  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()
  

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