我的数据集如下所示。使用altair进行可视化。我正在尝试绘制时间序列图，以使我的时间在X轴上，拾音器在y轴上，颜色表示星期几。
下面是我的可视化代码，但是，每当我尝试绘制时，都会出现错误提示
“时间”类型的对象不可JSON序列化。
我试图关注here中jgbarah提到的评论。不幸的是我无法解决。
{
'day_of_week': {
0: 'Friday',
1: 'Friday',
2: 'Friday',
3: 'Friday',
4: 'Friday',
5: 'Friday',
6: 'Friday',
7: 'Friday',
8: 'Friday',
9: 'Friday',
10: 'Friday',
11: 'Friday',
12: 'Friday',
13: 'Friday',
14: 'Friday',
15: 'Friday',
16: 'Friday',
17: 'Friday',
18: 'Friday',
19: 'Friday',
20: 'Friday',
21: 'Friday',
22: 'Friday',
23: 'Friday',
24: 'Monday',
25: 'Monday',
26: 'Monday',
27: 'Monday',
28: 'Monday',
29: 'Monday',
30: 'Monday',
31: 'Monday',
32: 'Monday',
33: 'Monday',
34: 'Monday',
35: 'Monday',
36: 'Monday',
37: 'Monday',
38: 'Monday',
39: 'Monday',
40: 'Monday',
41: 'Monday',
42: 'Monday',
43: 'Monday',
44: 'Monday',
45: 'Monday',
46: 'Monday',
47: 'Monday',
48: 'Saturday',
49: 'Saturday',
50: 'Saturday',
51: 'Saturday',
52: 'Saturday',
53: 'Saturday',
54: 'Saturday',
55: 'Saturday',
56: 'Saturday',
57: 'Saturday',
58: 'Saturday',
59: 'Saturday',
60: 'Saturday',
61: 'Saturday',
62: 'Saturday',
63: 'Saturday',
64: 'Saturday',
65: 'Saturday',
66: 'Saturday',
67: 'Saturday',
68: 'Saturday',
69: 'Saturday',
70: 'Saturday',
71: 'Saturday',
72: 'Sunday',
73: 'Sunday',
74: 'Sunday',
75: 'Sunday',
76: 'Sunday',
77: 'Sunday',
78: 'Sunday',
79: 'Sunday',
80: 'Sunday',
81: 'Sunday',
82: 'Sunday',
83: 'Sunday',
84: 'Sunday',
85: 'Sunday',
86: 'Sunday',
87: 'Sunday',
88: 'Sunday',
89: 'Sunday',
90: 'Sunday',
91: 'Sunday',
92: 'Sunday',
93: 'Sunday',
94: 'Sunday',
95: 'Sunday',
96: 'Thursday',
97: 'Thursday',
98: 'Thursday',
99: 'Thursday',
100: 'Thursday',
101: 'Thursday',
102: 'Thursday',
103: 'Thursday',
104: 'Thursday',
105: 'Thursday',
106: 'Thursday',
107: 'Thursday',
108: 'Thursday',
109: 'Thursday',
110: 'Thursday',
111: 'Thursday',
112: 'Thursday',
113: 'Thursday',
114: 'Thursday',
115: 'Thursday',
116: 'Thursday',
117: 'Thursday',
118: 'Thursday',
119: 'Thursday',
120: 'Tuesday',
121: 'Tuesday',
122: 'Tuesday',
123: 'Tuesday',
124: 'Tuesday',
125: 'Tuesday',
126: 'Tuesday',
127: 'Tuesday',
128: 'Tuesday',
129: 'Tuesday',
130: 'Tuesday',
131: 'Tuesday',
132: 'Tuesday',
133: 'Tuesday',
134: 'Tuesday',
135: 'Tuesday',
136: 'Tuesday',
137: 'Tuesday',
138: 'Tuesday',
139: 'Tuesday',
140: 'Tuesday',
141: 'Tuesday',
142: 'Tuesday',
143: 'Tuesday',
144: 'Wedsnesday',
145: 'Wedsnesday',
146: 'Wedsnesday',
147: 'Wedsnesday',
148: 'Wedsnesday',
149: 'Wedsnesday',
150: 'Wedsnesday',
151: 'Wedsnesday',
152: 'Wedsnesday',
153: 'Wedsnesday',
154: 'Wedsnesday',
155: 'Wedsnesday',
156: 'Wedsnesday',
157: 'Wedsnesday',
158: 'Wedsnesday',
159: 'Wedsnesday',
160: 'Wedsnesday',
161: 'Wedsnesday',
162: 'Wedsnesday',
163: 'Wedsnesday',
164: 'Wedsnesday',
165: 'Wedsnesday',
166: 'Wedsnesday',
167: 'Wedsnesday'
},
'time': {
0: datetime.time(0, 0),
1: datetime.time(1, 0),
2: datetime.time(2, 0),
3: datetime.time(3, 0),
4: datetime.time(4, 0),
5: datetime.time(5, 0),
6: datetime.time(6, 0),
7: datetime.time(7, 0),
8: datetime.time(8, 0),
9: datetime.time(9, 0),
10: datetime.time(10, 0),
11: datetime.time(11, 0),
12: datetime.time(12, 0),
13: datetime.time(13, 0),
14: datetime.time(14, 0),
15: datetime.time(15, 0),
16: datetime.time(16, 0),
17: datetime.time(17, 0),
18: datetime.time(18, 0),
19: datetime.time(19, 0),
20: datetime.time(20, 0),
21: datetime.time(21, 0),
22: datetime.time(22, 0),
23: datetime.time(23, 0),
24: datetime.time(0, 0),
25: datetime.time(1, 0),
26: datetime.time(2, 0),
27: datetime.time(3, 0),
28: datetime.time(4, 0),
29: datetime.time(5, 0),
30: datetime.time(6, 0),
31: datetime.time(7, 0),
32: datetime.time(8, 0),
33: datetime.time(9, 0),
34: datetime.time(10, 0),
35: datetime.time(11, 0),
36: datetime.time(12, 0),
37: datetime.time(13, 0),
38: datetime.time(14, 0),
39: datetime.time(15, 0),
40: datetime.time(16, 0),
41: datetime.time(17, 0),
42: datetime.time(18, 0),
43: datetime.time(19, 0),
44: datetime.time(20, 0),
45: datetime.time(21, 0),
46: datetime.time(22, 0),
47: datetime.time(23, 0),
48: datetime.time(0, 0),
49: datetime.time(1, 0),
50: datetime.time(2, 0),
51: datetime.time(3, 0),
52: datetime.time(4, 0),
53: datetime.time(5, 0),
54: datetime.time(6, 0),
55: datetime.time(7, 0),
56: datetime.time(8, 0),
57: datetime.time(9, 0),
58: datetime.time(10, 0),
59: datetime.time(11, 0),
60: datetime.time(12, 0),
61: datetime.time(13, 0),
62: datetime.time(14, 0),
63: datetime.time(15, 0),
64: datetime.time(16, 0),
65: datetime.time(17, 0),
66: datetime.time(18, 0),
67: datetime.time(19, 0),
68: datetime.time(20, 0),
69: datetime.time(21, 0),
70: datetime.time(22, 0),
71: datetime.time(23, 0),
72: datetime.time(0, 0),
73: datetime.time(1, 0),
74: datetime.time(2, 0),
75: datetime.time(3, 0),
76: datetime.time(4, 0),
77: datetime.time(5, 0),
78: datetime.time(6, 0),
79: datetime.time(7, 0),
80: datetime.time(8, 0),
81: datetime.time(9, 0),
82: datetime.time(10, 0),
83: datetime.time(11, 0),
84: datetime.time(12, 0),
85: datetime.time(13, 0),
86: datetime.time(14, 0),
87: datetime.time(15, 0),
88: datetime.time(16, 0),
89: datetime.time(17, 0),
90: datetime.time(18, 0),
91: datetime.time(19, 0),
92: datetime.time(20, 0),
93: datetime.time(21, 0),
94: datetime.time(22, 0),
95: datetime.time(23, 0),
96: datetime.time(0, 0),
97: datetime.time(1, 0),
98: datetime.time(2, 0),
99: datetime.time(3, 0),
100: datetime.time(4, 0),
101: datetime.time(5, 0),
102: datetime.time(6, 0),
103: datetime.time(7, 0),
104: datetime.time(8, 0),
105: datetime.time(9, 0),
106: datetime.time(10, 0),
107: datetime.time(11, 0),
108: datetime.time(12, 0),
109: datetime.time(13, 0),
110: datetime.time(14, 0),
111: datetime.time(15, 0),
112: datetime.time(16, 0),
113: datetime.time(17, 0),
114: datetime.time(18, 0),
115: datetime.time(19, 0),
116: datetime.time(20, 0),
117: datetime.time(21, 0),
118: datetime.time(22, 0),
119: datetime.time(23, 0),
120: datetime.time(0, 0),
121: datetime.time(1, 0),
122: datetime.time(2, 0),
123: datetime.time(3, 0),
124: datetime.time(4, 0),
125: datetime.time(5, 0),
126: datetime.time(6, 0),
127: datetime.time(7, 0),
128: datetime.time(8, 0),
129: datetime.time(9, 0),
130: datetime.time(10, 0),
131: datetime.time(11, 0),
132: datetime.time(12, 0),
133: datetime.time(13, 0),
134: datetime.time(14, 0),
135: datetime.time(15, 0),
136: datetime.time(16, 0),
137: datetime.time(17, 0),
138: datetime.time(18, 0),
139: datetime.time(19, 0),
140: datetime.time(20, 0),
141: datetime.time(21, 0),
142: datetime.time(22, 0),
143: datetime.time(23, 0),
144: datetime.time(0, 0),
145: datetime.time(1, 0),
146: datetime.time(2, 0),
147: datetime.time(3, 0),
148: datetime.time(4, 0),
149: datetime.time(5, 0),
150: datetime.time(6, 0),
151: datetime.time(7, 0),
152: datetime.time(8, 0),
153: datetime.time(9, 0),
154: datetime.time(10, 0),
155: datetime.time(11, 0),
156: datetime.time(12, 0),
157: datetime.time(13, 0),
158: datetime.time(14, 0),
159: datetime.time(15, 0),
160: datetime.time(16, 0),
161: datetime.time(17, 0),
162: datetime.time(18, 0),
163: datetime.time(19, 0),
164: datetime.time(20, 0),
165: datetime.time(21, 0),
166: datetime.time(22, 0),
167: datetime.time(23,
0)
},
'pickups': {
0: 1188.6,
1: 691.6,
2: 389.0,
3: 256.2,
4: 216.0,
5: 270.0,
6: 357.4,
7: 540.0,
8: 785.4,
9: 958.2,
10: 768.4,
11: 697.2,
12: 718.0,
13: 710.4,
14: 747.6,
15: 834.6,
16: 913.6,
17: 1025.2,
18: 1124.6,
19: 1281.8,
20: 1226.8,
21: 1202.6,
22: 1324.4,
23: 1534.0,
24: 585.2,
25: 367.6,
26: 185.2,
27: 109.8,
28: 142.4,
29: 254.4,
30: 368.8,
31: 562.4,
32: 780.0,
33: 880.6,
34: 695.0,
35: 598.2,
36: 596.2,
37: 590.0,
38: 634.0,
39: 703.4,
40: 735.2,
41: 804.8,
42: 935.0,
43: 982.4,
44: 902.0,
45: 894.2,
46: 941.2,
47: 834.2,
48: 1583.6,
49: 1332.8,
50: 989.6,
51: 752.2,
52: 609.4,
53: 361.6,
54: 256.2,
55: 273.6,
56: 353.8,
57: 463.4,
58: 606.6,
59: 697.2,
60: 835.6,
61: 890.8,
62: 883.0,
63: 1047.8,
64: 1395.2,
65: 1675.6,
66: 1783.4,
67: 1918.0,
68: 1980.6,
69: 2063.0,
70: 2155.8,
71: 2102.0,
72: 1329.2,
73: 1133.2,
74: 1040.6,
75: 764.8,
76: 585.6,
77: 370.6,
78: 222.6,
79: 228.2,
80: 275.8,
81: 413.4,
82: 552.8,
83: 730.2,
84: 814.4,
85: 838.0,
86: 860.8,
87: 877.0,
88: 874.6,
89: 944.0,
90: 1017.6,
91: 971.6,
92: 770.6,
93: 826.4,
94: 911.4,
95: 849.4,
96: 936.8,
97: 486.0,
98: 286.6,
99: 179.6,
100: 153.2,
101: 216.4,
102: 345.8,
103: 581.2,
104: 851.2,
105: 984.8,
106: 804.6,
107: 680.0,
108: 713.4,
109: 676.2,
110: 738.6,
111: 829.4,
112: 920.4,
113: 1068.4,
114: 1212.0,
115: 1406.0,
116: 1361.6,
117: 1428.0,
118: 1532.0,
119: 1478.8,
120: 579.2,
121: 343.8,
122: 186.0,
123: 131.6,
124: 112.6,
125: 191.2,
126: 323.0,
127: 544.8,
128: 829.6,
129: 979.0,
130: 856.6,
131: 696.8,
132: 716.8,
133: 675.2,
134: 745.2,
135: 798.0,
136: 855.4,
137: 1002.4,
138: 1418.0,
139: 1723.6,
140: 1433.8,
141: 1193.8,
142: 1196.6,
143: 1018.6,
144: 706.4,
145: 435.8,
146: 241.0,
147: 151.6,
148: 136.8,
149: 206.8,
150: 325.4,
151: 548.0,
152: 818.6,
153: 953.0,
154: 800.4,
155: 661.8,
156: 667.6,
157: 676.2,
158: 708.6,
159: 785.0,
160: 888.6,
161: 992.2,
162: 1185.0,
163: 1303.0,
164: 1176.8,
165: 1197.8,
166: 1308.2,
167: 1255.2
}
}
可视化代码：
alt.Chart(df).mark_rect().encode(
alt.X('time:O'),
alt.Y('pickups:Q'),
alt.Color('day_of_week:O')
)
我是python的新手。请提供您的代码说明。
答案 0 :(得分：1)
JSON仅采用以下任何一种数据类型：
字符串，数字，对象（JSON对象），数组，布尔值，空
您可以看到时间对象不是其中之一。
您需要使用str(some_time_object)函数将时间对象转换为字符串，然后更新JSON字符串。