如何在python中创建一个充满NaT的时间矩阵？

如何解决如何在python中创建一个充满NaT的时间矩阵？

我想创建一个空的 3D 时间矩阵（具有已知大小），稍后我将使用 pd.dateTimeIndex 或 pd.timestamp 列表在循环中填充该矩阵。有没有简单的方法？

这不起作用：

timeMatrix = np.empty( shape=(100,1000,2) )
timeMatrix[:] = pd.NaT

我可以不用第二行，但是 timeMatrix 中的数字变成了 10^18 个数字。

timeMatrix = np.empty( shape=(100,2) )
for pressureLevel in levels:
    timeMatrix[ i_airport,0:varyingNumberBelow1000,pressureLevel ] = dates_datetimeindex

谢谢

解决方法

df = pd.DataFrame(index=range(10),columns=range(10),dtype="datetime64[ns]")
print(df)

打印：

    0   1   2   3   4   5   6   7   8   9
0 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
1 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
2 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
3 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
4 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
5 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
6 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
7 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
8 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT
9 NaT NaT NaT NaT NaT NaT NaT NaT NaT NaT