如何在python中创建一个充满NaT的时间矩阵？

Question

我想创建一个空的 3D 时间矩阵（大小已知），稍后我将使用 pd.dateTimeIndex 或 pd.timestamp 列表填充到循环中。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 timeMatrix 中的数字变成 10^18 个数字。

timeMatrix = np.empty( shape=(100, 1000, 2) )
for pressureLevel in levels:
    timeMatrix[ i_airport, 0:varyingNumberBelow1000, pressureLevel ] = dates_datetimeindex

谢谢

Answer 1

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