pandas Matplotlib 绘图：AttributeError：'list' 对象没有属性 'xaxis'
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Matplotlib Plotting: AttributeError: 'list' object has no attribute 'xaxis'
提问by MuizVhora
Example Plot that needs to format date
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.
我试图根据时间绘制股票价格（见上文）。下面的代码确实绘制了“OPEN”价格，但是当我尝试将 X 轴日期从序数格式化为 ISO 日期时，它抛出AttributeError.
The same code worked while plotting the OHLC graph, but somehow this doesn't work now.
绘制 OHLC 图时相同的代码有效，但不知何故现在不起作用。
AttributeError: 'list' object has no attribute 'xaxis'
AttributeError: 'list' 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'))
采纳答案by Paul H
This line:
这一行：
ax1 = plt.plot(df_copy['Date'], df_copy['Open'], label='Open values')
ax1 = plt.plot(df_copy['Date'], df_copy['Open'], label='Open values')
Refines your Axes object to be the list of artists returned by the plotcommand.
将 Axes 对象细化为plot命令返回的艺术家列表。
Instead of relying on the state machine to put artists on the Axes, you should use your objects directly:
您应该直接使用您的对象，而不是依赖状态机将艺术家放在 Axes 上：
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'))
回答by FlyingTeller
The problem comes from you writing
问题出在你写作上
ax1 = plt.plot(df_copy['Date'], df_copy['Open'], label = 'Open values' )
Since you are changing the type of ax1 from being the handle returned by plt.subplot(). After said line, it is a list of lines that were added to the plot, which explains your error message. See the documentary on the plot command:
由于您正在将 ax1 的类型从plt.subplot(). 在该行之后，它是添加到绘图中的行列表，它解释了您的错误消息。看关于 plot 命令的纪录片：
Return value is a list of lines that were added. matplotlib.org
返回值是添加的行列表。 matplotlib.org
