Matplotlib绘图:AttributeError:'列表'对象没有属性'xaxis' [英] Matplotlib Plotting: AttributeError: 'list' object has no attribute 'xaxis'

问题描述

需要格式化日期格式的示例图

我正在尝试绘制股价随时间变化的图表(请参见上文).下面的代码确实绘制了开盘"价格，但是当我尝试将X轴日期从顺序日期格式设置为ISO日期时，它会抛出AttributeError.

I am trying to plot stock prices against time (see above). The code below does plot the "OPEN" prices but as I try to format the X-axis dates from ordinal to ISO dates, it throws AttributeError.

在绘制OHLC图时，相同的代码可以工作，但是现在不起作用了.

The same code worked while plotting the OHLC graph, but somehow this doesn't work now.

AttributeError:列表"对象没有属性"xaxis"

    df_copy = read_stock('EBAY')

    fig = plt.figure(figsize= (12,10), dpi = 80)
    ax1 = plt.subplot(111)
    ax1 = plt.plot(df_copy['Date'], df_copy['Open'], label = 'Open values' )
    ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))

推荐答案

此行:

ax1 = plt.plot(df_copy['Date'], df_copy['Open'], label='Open values')

将您的Axes对象指定为plot命令返回的艺术家的列表.

Refines your Axes object to be the list of artists returned by the plot command.

您应该直接使用对象，而不是依靠状态机将艺术家放到Axes上:

Instead of relying on the state machine to put artists on the Axes, you should use your objects directly:

df_copy = read_stock('EBAY')

fig = plt.figure(figsize=(12, 10), dpi=80)
ax1 = fig.add_subplot(111)
lines = ax1.plot(df_copy['Date'], df_copy['Open'], label='Open values')
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))

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