Seaborn 条形图和 X 轴上的格式化日期

我目前正在使用 Seaborn 和 Pandas 对数据集进行可视化.我有一些与时间相关的数据，我想用条形图绘制它们.

I am currently working on visualizing datasets with Seaborn and Pandas. I have some time-dependent data that I would like to graph in bar charts.

但是，我在 Seaborn 中遇到了两个问题:

However, I am battling with two issues in Seaborn:

1. 在 x 轴上格式化日期
2. 只显示少数日期(如在 6 个月的图表上标注每一天是没有意义的)

我在普通 Matplotlib 中找到了解决我的问题的方法，即:

I have found a solution for my issues in normal Matplotlib, which is:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

dates = pandas.date_range('1/1/2014', periods=20, freq='m')
df = pandas.DataFrame(
    data={'dt':dates, 'val':numpy.random.randn(N)}
)

fig, ax = plt.subplots(figsize=(10, 6))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
ax.bar(df['dt'], df['val'], width=25, align='center')

但是，我已经在 Seaborn 中完成了大部分图表，我希望保持一致.一旦我将之前的代码转换成 Seaborn，我就失去了格式化日期的能力:

However, I already have most of my graphs done in Seaborn, and I would like to stay consistent. Once I convert the previous code into Seaborn, I lose the ability to format the dates:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

dates = pandas.date_range('1/1/2014', periods=20, freq='m')
df = pandas.DataFrame(
    data={'dt':dates, 'val':numpy.random.randn(N)}
)

fig, ax = plt.subplots(1,1)
ax.xaxis.set_major_formatter(mdates.DateFormatter('%y-%m'))
sns.barplot(x='dt', y='val', data=df)
fig.autofmt_xdate()

当我运行代码时，日期格式保持不变，我无法使用 DateLocator 定位任何日期.

When I run the code, the date format remains unchanged and I can't locate any dates with DateLocator.

有什么方法可以让我在 Seaborn 中以类似于 Matplotlib 的方式使用 DateLocator 和 DateFormatter 格式化我的 X 轴日期?

Is there any way for me to format my X-Axis for dates in Seaborn in a way similar to Matplotlib with DateLocator and DateFormatter?

提前致谢.