如何从Seaborn/Matplotlib图中删除或隐藏X轴标签 [英] How to remove or hide x-axis labels from a seaborn / matplotlib plot

问题描述

我有一个箱线图，需要删除 x 轴('user_type' 和 'member_gender')标签.给定以下格式，我该怎么办?

sb.boxplot(x="user_type", y="Seconds", data=df, color = default_color, ax = ax[0,0], sym='').set_title('User-类型(0 =非订户，1 =订户)')sb.boxplot(x="member_gender", y="Seconds", data=df, color = default_color, ax = ax[1,0], sym='').set_title('Gender (0=Male, 1=女性，2=其他)')

解决方案

• 创建箱线图后，使用 .set().
• .set(xticklabels = [])应该删除刻度标签.
  • 如果您使用 .set_title()，则此方法无效，但是您可以使用 .set(title ='')
• .set(xlabel = None)应该删除轴标签.
• .tick_params(bottom=False) 将删除刻度.
• 类似地，对于y轴:

  没有 xticks 和 xlabel

  fig, ax = plt.subplots(2, 1, figsize=(8, 8))g1 = sns.boxplot(x ='time'，y ='pulse'，hue ='kind'，data = exercise，ax = ax [0])g1.set(xticklabels = [])#删除刻度线标签g1.set(title='Exercise: Pulse by Time for Exercise Type') # 添加标题g1.set(xlabel = None)#删除轴标签g2 = sns.boxplot(x='物种', y='body_mass_g', 色调='sex', 数据=笔, ax=ax[1])g2.set(xticklabels=[])g2.set(title ='企鹅:按性别分类的体重')g2.set(xlabel=None)g2.tick_params(bottom=False) # 删除刻度plt.show()

  I have a boxplot and need to remove the x-axis ('user_type' and 'member_gender') label. How do I do this given the below format?

  sb.boxplot(x="user_type", y="Seconds", data=df, color = default_color, ax = ax[0,0], sym='').set_title('User-Type (0=Non-Subscriber, 1=Subscriber)')
  sb.boxplot(x="member_gender", y="Seconds", data=df, color = default_color, ax = ax[1,0], sym='').set_title('Gender (0=Male, 1=Female, 2=Other)')
  

  解决方案

  • After creating the boxplot, use .set().
  • .set(xticklabels=[]) should remove tick labels.
    • This doesn't work if you use .set_title(), but you can use .set(title='')
  • .set(xlabel=None) should remove the axis label.
  • .tick_params(bottom=False) will remove the ticks.
  • Similarly, for the y-axis: How to remove or hide y-axis ticklabels from a matplotlib / seaborn plot?

  fig, ax = plt.subplots(2, 1)
  
  g1 = sb.boxplot(x="user_type", y="Seconds", data=df, color = default_color, ax = ax[0], sym='')
  g1.set(xticklabels=[])
  g1.set(title='User-Type (0=Non-Subscriber, 1=Subscriber)')
  g1.set(xlabel=None)
  
  g2 = sb.boxplot(x="member_gender", y="Seconds", data=df, color = default_color, ax = ax[1], sym='')
  g2.set(xticklabels=[])
  g2.set(title='Gender (0=Male, 1=Female, 2=Other)')
  g2.set(xlabel=None)
  

  Example

  With xticks and xlabel

  import seaborn as sns
  import matplotlib.pyplot as plt
  
  # load data
  exercise = sns.load_dataset('exercise')
  pen = sns.load_dataset('penguins')
  
  # create figures
  fig, ax = plt.subplots(2, 1, figsize=(8, 8))
  
  # plot data
  g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])
  
  g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])
  
  plt.show()
  

  Without xticks and xlabel

  fig, ax = plt.subplots(2, 1, figsize=(8, 8))
  
  g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])
  
  g1.set(xticklabels=[])  # remove the tick labels
  g1.set(title='Exercise: Pulse by Time for Exercise Type')  # add a title
  g1.set(xlabel=None)  # remove the axis label
  
  g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])
  
  g2.set(xticklabels=[])  
  g2.set(title='Penguins: Body Mass by Species for Gender')
  g2.set(xlabel=None)
  g2.tick_params(bottom=False)  # remove the ticks
  
  plt.show()
  

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