如何解决AttributeError:在绘制子图时，"numpy.ndarray"对象没有属性"get_figure" [英] How to resolve AttributeError: 'numpy.ndarray' object has no attribute 'get_figure' when plotting subplots

问题描述

当我尝试运行代码单元时遇到问题.我正在尝试为数据框中的每个变量绘制散点图，但遇到了一个我不太确定的错误.你能帮忙吗?

我的代码:

fig, axes = plt.subplots(nrows=3, ncols=7, figsize=(12,10))对于 xcol, ax in zip(df[df.columns], axes):df.plot(kind='scatter', x=xcol, y='price', ax=ax, alpha=0.5, color='r')

返回错误:AttributeError: 'numpy.ndarray' 对象没有属性 'get_figure'

解决方案

• fig，axes = plt.subplots(nrows = 3，ncols = 7，figsize =(12,10))创建3组，每组7个 AxesSubplot 对象

  array([[< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>;, <AxesSubplot:>],[<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>],[<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>]]，dtype = object)

• 通过使用 zip(df [df.columns]，axes)进行压缩，您将得到如下所示的内容:
  • 这是错误的来源；如您所见，循环中的 ax 是一个 array，而不是 AxesSubplot.

 <代码> [('col1'，array([< AxesSubplot:> ;,< AxesSubplot:> ;,< AxesSubplot:> ;,< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>]，dtype = object))，('col2'，array([< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:>，< AxesSubplot:> ;、<AxesSubplot:>], dtype=object)),('col3', array([<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>,< AxesSubplot:>]，dtype = object))]]

• 您想要的是，将一列压缩到一个子图，这可以通过使用列表推导解压缩所有轴子图或使用 axes.ravel() 来完成，然后压缩他们到列名.

  • I'm an encountering an issue when I try to run a cell of code. I'm attempting to make a scatter plot for each of the variables in my dataframe, but am encountering an error i'm not too sure about. Can you help?

    My code:

    fig, axes = plt.subplots(nrows=3, ncols=7, figsize=(12,10))
    for xcol, ax in zip(df[df.columns], axes):
        df.plot(kind='scatter', x=xcol, y='price', ax=ax, alpha=0.5, color='r')
    

    Returned error: AttributeError: 'numpy.ndarray' object has no attribute 'get_figure'

    解决方案

    • fig, axes = plt.subplots(nrows=3, ncols=7, figsize=(12,10)) creates 3 groups of 7 AxesSubplot objects

    array([[<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>],
           [<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>],
           [<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>]], dtype=object)
    

    • By zipping with zip(df[df.columns], axes), you're getting something like the following:
      • This is the sources of the error; as you can see, ax from the loop, is an array, not an AxesSubplot.

    [('col1', array([<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>], dtype=object)),
     ('col2', array([<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>], dtype=object)),
     ('col3', array([<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>], dtype=object))]
    

    • What you want is, to zip one column to one subplot, which can be done by unpacking all the axes subplots, with a list comprehension, or using axes.ravel(), and then zipping them to the column names.
      • numpy.ravel returns a flattened array.
    • Use df.columns, not df[df.columns], to get the column names.

    # the list comprehension unpacks all the axes
    zip(df.columns, [x for v in axes for x in v])
    
    # which results in one column name per subplot
    [('col1', <AxesSubplot:>),
     ('col2', <AxesSubplot:>),
     ('col3', <AxesSubplot:>),
     ('col4', <AxesSubplot:>),
     ('col5', <AxesSubplot:>),
     ('col6', <AxesSubplot:>),
     ('col7', <AxesSubplot:>),
     ('col8', <AxesSubplot:>),
     ('col9', <AxesSubplot:>),
     ('col10', <AxesSubplot:>),
     ('col11', <AxesSubplot:>),
     ('col12', <AxesSubplot:>),
     ('col13', <AxesSubplot:>),
     ('col14', <AxesSubplot:>),
     ('col15', <AxesSubplot:>),
     ('col16', <AxesSubplot:>),
     ('col17', <AxesSubplot:>),
     ('col18', <AxesSubplot:>),
     ('col19', <AxesSubplot:>),
     ('col20', <AxesSubplot:>),
     ('col21', <AxesSubplot:>)]
    

    Example

    import pandas as pd
    import seaborn as sns
    import matplotlib.pyplot as plt
    
    # load sample data
    df = sns.load_dataset('car_crashes')
    
    # setup figure
    fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(12, 10))
    
    # iterate and plot subplots
    for xcol, ax in zip(df.columns[1:-1], [x for v in axes for x in v]):
        df.plot.scatter(x=xcol, y='speeding', ax=ax, alpha=0.5, color='r')
    

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