Question

我正在尝试绘制股票图表。我的DataFrame结构如下：

<class 'pandas.core.frame.DataFrame'>
Int64Index: 503 entries, 0 to 506
Data columns (total 6 columns):
Date      503 non-null object
Open      503 non-null float64
High      503 non-null float64
Low       503 non-null float64
Close     503 non-null float64
Volume    503 non-null float64
dtypes: float64(5), object(1)
memory usage: 27.5+ KB

当我尝试使用“关闭”列绘制数据时，我在x轴上得到了数字，但是我想使用3个月的滴答来绘制带有日期的数据。我该如何实现？

此刻的代码如下：

dax_data["Close"].plot(label = "Dax Close", figsize = (16,8), title = "Dax Prices")
plt.legend();

Here you can see the plot

Answer 1

这是因为默认情况下，“ DataFrame.plot（）”使用数据帧索引作为x值。您应该这样做：

dax_data.plot(x = 'Date', y = 'Close', label = "Dax Close", figsize = (16,8), title = "Dax Prices")

并有3个月的滴答声：

import matplotlib.dates as mdates

### Your code to get dax_data

ax = dax_data.plot(x = 'Date', y = 'Close', label = "Dax Close", figsize = (16,8), title = "Dax Prices")
ax.xaxis.set_major_locator(mdates.MonthLocator(interval = 3)) # to display ticks every 3 months
ax.xaxis.set_major_formatter(mdates.DateFormatter("%m-%Y")) # to set how dates are displayed
plt.legend()

Python图在x轴上显示数字而不是日期

1 个答案: