HTML Pandas Dataframe with CSS

Date_Time	Tide
27/04/26 21:00	1.17
27/04/26 21:20	NaN
27/04/26 21:40	NaN
27/04/26 22:00	NaN
27/04/26 22:20	NaN
27/04/26 22:40	1.14
27/04/26 23:00	1.14
27/04/26 23:20	1.14
27/04/26 23:40	NaN
28/04/26 00:00	NaN
28/04/26 00:20	NaN
28/04/26 00:40	NaN
28/04/26 01:00	NaN
28/04/26 01:20	NaN
28/04/26 01:40	NaN
28/04/26 02:00	NaN
28/04/26 02:20	NaN
28/04/26 02:40	NaN
28/04/26 03:00	NaN
28/04/26 03:20	NaN
28/04/26 03:40	NaN
28/04/26 04:00	NaN
28/04/26 04:20	NaN
28/04/26 04:40	NaN
28/04/26 05:00	1.55
28/04/26 05:20	1.56
28/04/26 05:40	1.56
28/04/26 06:00	NaN
28/04/26 06:20	NaN
28/04/26 06:40	NaN
28/04/26 07:00	NaN
28/04/26 07:20	NaN
28/04/26 07:40	NaN
28/04/26 08:00	NaN
28/04/26 08:20	1.53
28/04/26 08:40	1.52
28/04/26 09:00	1.51
28/04/26 09:20	1.49
28/04/26 09:40	1.45
28/04/26 10:00	1.44
28/04/26 10:20	1.43
28/04/26 10:40	1.42
28/04/26 11:00	1.41
28/04/26 11:20	1.39
28/04/26 11:40	1.38
28/04/26 12:00	1.36
28/04/26 12:20	1.35
28/04/26 12:40	1.34
28/04/26 13:00	1.33
28/04/26 13:20	1.32
28/04/26 13:40	1.31
28/04/26 14:00	1.30
28/04/26 14:20	1.29
28/04/26 14:40	1.29
28/04/26 15:00	1.28
28/04/26 15:20	1.26
28/04/26 15:40	1.26
28/04/26 16:00	1.25
28/04/26 16:20	1.25
28/04/26 16:40	1.25
28/04/26 17:00	1.25
28/04/26 17:20	1.24
28/04/26 17:40	1.24
28/04/26 18:00	1.24
28/04/26 18:20	1.23
28/04/26 18:40	1.23
28/04/26 19:00	1.22
28/04/26 19:20	1.21
28/04/26 19:40	1.21
28/04/26 20:00	1.20
28/04/26 20:20	1.20
28/04/26 20:40	1.20
28/04/26 21:00	1.19
28/04/26 21:20	1.19
28/04/26 21:40	1.19
28/04/26 22:00	1.18
28/04/26 22:20	1.18
28/04/26 22:40	1.18
28/04/26 23:00	1.17
28/04/26 23:20	1.18
28/04/26 23:40	1.18
29/04/26 00:00	1.18
29/04/26 00:20	NaN
29/04/26 00:40	NaN
29/04/26 01:00	NaN
29/04/26 01:20	NaN
29/04/26 01:40	NaN
29/04/26 02:00	1.19
29/04/26 02:20	1.18
29/04/26 02:40	1.18
29/04/26 03:00	1.18
29/04/26 03:20	1.18
29/04/26 03:40	1.17
29/04/26 04:00	1.16
29/04/26 04:20	1.16
29/04/26 04:40	NaN
29/04/26 05:00	NaN
29/04/26 05:20	1.17
29/04/26 05:40	1.17
29/04/26 06:00	1.16
29/04/26 06:20	1.15
29/04/26 06:40	1.16
29/04/26 07:00	1.16
29/04/26 07:20	1.16
29/04/26 07:40	1.15
29/04/26 08:00	1.14
29/04/26 08:20	1.14
29/04/26 08:40	1.10
29/04/26 09:00	1.09
29/04/26 09:20	1.08
29/04/26 09:40	1.08
29/04/26 10:00	1.06
29/04/26 10:20	1.06
29/04/26 10:40	1.05
29/04/26 11:00	1.04
29/04/26 11:20	1.03
29/04/26 11:40	1.01
29/04/26 12:00	1.01
29/04/26 12:20	0.99
29/04/26 12:40	1.00
29/04/26 13:00	1.00
29/04/26 13:20	0.99
29/04/26 13:40	0.97
29/04/26 14:00	0.98
29/04/26 14:20	0.97
29/04/26 14:40	0.96
29/04/26 15:00	0.96
29/04/26 15:20	0.95
29/04/26 15:40	0.95
29/04/26 16:00	0.94
29/04/26 16:20	0.94
29/04/26 16:40	0.94
29/04/26 17:00	0.93
29/04/26 17:20	0.93
29/04/26 17:40	0.93
29/04/26 18:00	0.92
29/04/26 18:20	0.92
29/04/26 18:40	0.92
29/04/26 19:00	0.92
29/04/26 19:20	0.92
29/04/26 19:40	0.92
29/04/26 20:00	0.91
29/04/26 20:20	0.91
29/04/26 20:40	0.90
29/04/26 21:00	0.89
29/04/26 21:20	0.89
29/04/26 21:40	0.88
29/04/26 22:00	0.87
29/04/26 22:20	0.87
29/04/26 22:40	0.87
29/04/26 23:00	0.87
29/04/26 23:20	0.87
29/04/26 23:40	0.87
30/04/26 00:00	0.87
30/04/26 00:20	NaN
30/04/26 00:40	0.88
30/04/26 01:00	0.90
30/04/26 01:20	0.90
30/04/26 01:40	0.90
30/04/26 02:00	0.89
30/04/26 02:20	0.90
30/04/26 02:40	0.89
30/04/26 03:00	0.89
30/04/26 03:20	0.90
30/04/26 03:40	NaN
30/04/26 04:00	NaN
30/04/26 04:20	NaN
30/04/26 04:40	NaN
30/04/26 05:00	NaN
30/04/26 05:20	0.89
30/04/26 05:40	0.89
30/04/26 06:00	0.89
30/04/26 06:20	0.90
30/04/26 06:40	0.90
30/04/26 07:00	NaN
30/04/26 07:20	NaN
30/04/26 07:40	NaN
30/04/26 08:00	NaN
30/04/26 08:20	NaN
30/04/26 08:40	NaN
30/04/26 09:00	NaN
30/04/26 09:20	0.82
30/04/26 09:40	0.81
30/04/26 10:00	0.80
30/04/26 10:20	0.80
30/04/26 10:40	0.80
30/04/26 11:00	0.80
30/04/26 11:20	0.81
30/04/26 11:40	0.82
30/04/26 12:00	0.83
30/04/26 12:20	0.82
30/04/26 12:40	0.82
30/04/26 13:00	0.82
30/04/26 13:20	0.82
30/04/26 13:40	0.81
30/04/26 14:00	0.82
30/04/26 14:20	0.81
30/04/26 14:40	0.81
30/04/26 15:00	0.81
30/04/26 15:11	0.81