如何使用python在matplotlib中更改x轴值的日期时间格式?

如何使该图的x轴看起来更好?

How can I make this plot's x-axis looks better?

在绘制数据框中的所有值时，有什么方法可以在x轴上仅显示3个值吗?

Is there any way to show only 3 values in x-axis while plotting all values in my dataframe?

我尝试使用plt.xticks(rotation=70)，但是它仍然会减少我的电话号码.

I tried using plt.xticks(rotation=70) but it still cuts my numbers..

如您所见，它以MMM DD YYYY格式显示日期.

As you can see, it shows the date in the format MMM DD YYYY.

我想要类似MMM DD或DD MMM的名称.甚至用2写 第DD MM \n YYYY行.

I wanna something like MMM DD or DD MMM. Or even writing in 2 lines DD MM \n YYYY.

我该如何实现?

这是用于生成图表的代码:

This is the code used for generating the chart:

plt.plot(df_21d["Timestamp"], df_21d["Close"], label="Price", color="b")    

plt.title("BTC - 21 Dias")

plt.xlabel("Data")
plt.ylabel("Preco (em USD)")

plt.grid(True)

plt.show()

这是我的数据:

df_21d ["Timestamp"]

667   2016-05-27 08:00:00
668   2016-05-27 08:30:00
669   2016-05-27 09:00:00
670   2016-05-27 09:30:00
671   2016-05-27 10:00:00
Name: Timestamp, dtype: datetime64[ns]

df_21d [关闭"]

667    480.00
668    471.36
669    477.35
670    476.55
671    479.92
Name: Close, dtype: float64

我不知道是否必须格式化df_21d.Timestamp或它是否是matplotlib配置.也许使用plt.xticks()格式化时间戳并将其作为矢量传递...但是我不确定该怎么做...

I dont know if I have to format df_21d.Timestamp or if it's a matplotlib configuration. Maybe formatting the timestamp and passing it as a vector using plt.xticks()... but I'm not sure about how do that...

或者甚至可以只插入x轴的第一个，最后一个和中间值，例如:

Or maybe even inserting only the first, the last and the middle value for the x-axis, with something like:

plt.xaxis_labels = (df_21d["Timestamp"][1], 
             df_21d["Timestamp"][len(df_21d["Timestamp"])/2], 
             df_21d["Timestamp"][len(df_21d["Timestamp"])])