所以我想用 seaborn 绘制一个数据框,其中包含每分钟心率箱线图和我跑的每分钟(累计)距离线。
当我绘制该图时,箱线图似乎处于正确的位置。但正如您从数据框中看到的那样,距离从“4”分钟开始累积。但是,线条只从“8”分钟开始。线图不知何故向右移动,我不知道为什么。这是我得到的结果:
fig, ax = plt.subplots(figsize=(10,10))
ax = sns.boxplot(x="Minute", y="heart_rate", data=df10)
ax = sns.swarmplot(x="Minute", y="heart_rate", data=df10, color=".25")
ax2 = ax.twinx()
ax2 = sns.lineplot(x="Minute", y="distance", ax=ax2, data=df10)
这是我拥有的数据框:
{'distance': {0: 0.0,
1: 0.0,
2: 1.32,
3: 12.19,
4: 14.08,
5: 14.08,
6: 14.99,
7: 16.95,
8: 20.6,
9: 26.36,
10: 36.47,
11: 37.95,
12: 39.15,
13: 40.23,
14: 43.0,
15: 54.29,
16: 58.1,
17: 64.17,
18: 65.67,
19: 67.74,
20: 73.35,
21: 75.83,
22: 81.6,
23: 86.46,
24: 92.13,
25: 93.68,
26: 101.15,
27: 110.88,
28: 125.8,
29: 139.09,
30: 159.68,
31: 162.47,
32: 183.69,
33: 186.99,
34: 206.46,
35: 218.11,
36: 238.84,
37: 252.29,
38: 253.44,
39: 272.69,
40: 291.06,
41: 310.51,
42: 330.49,
43: 352.44,
44: 357.53,
45: 378.19,
46: 380.49,
47: 402.49,
48: 424.59,
49: 441.24,
50: 459.23,
51: 461.68,
52: 470.52,
53: 472.84,
54: 484.69,
55: 502.42,
56: 522.84,
57: 525.45,
58: 544.03,
59: 547.13,
60: 564.08,
61: 579.5,
62: 595.68,
63: 617.98,
64: 634.32,
65: 646.85,
66: 650.65,
67: 662.39,
68: 676.46,
69: 688.69,
70: 690.65,
71: 701.23,
72: 720.75,
73: 736.94,
74: 758.71,
75: 774.83,
76: 776.95,
77: 791.73,
78: 793.25,
79: 813.79,
80: 826.32,
81: 847.63,
82: 869.13,
83: 869.9,
84: 872.29,
85: 873.7,
86: 877.65,
87: 880.11,
88: 891.86,
89: 900.85,
90: 909.07,
91: 912.57,
92: 926.31,
93: 931.2,
94: 951.15,
95: 972.55,
96: 993.24,
97: 996.78,
98: 1017.75,
99: 1024.88,
100: 1045.62,
101: 1048.41,
102: 1070.19,
103: 1079.69,
104: 1079.95,
105: 1080.64,
106: 1081.25,
107: 1081.71,
108: 1081.71,
109: 1081.71,
110: 1085.0,
111: 1088.89,
112: 1091.65,
113: 1097.36,
114: 1107.23,
115: 1112.29,
116: 1124.21,
117: 1131.54,
118: 1143.32,
119: 1154.14,
120: 1176.21,
121: 1179.65,
122: 1193.0,
123: 1215.3,
124: 1221.3,
125: 1227.19,
126: 1233.66,
127: 1256.04,
128: 1258.82,
129: 1278.99,
130: 1294.85,
131: 1297.02,
132: 1305.39,
133: 1324.05,
134: 1337.78,
135: 1358.49,
136: 1363.4,
137: 1381.39,
138: 1389.2,
139: 1393.23,
140: 1396.54,
141: 1397.89,
142: 1414.57,
143: 1428.97,
144: 1449.31,
145: 1468.44,
146: 1480.76,
147: 1498.9,
148: 1509.63,
149: 1527.32,
150: 1538.07,
151: 1542.23,
152: 1556.08,
153: 1572.01,
154: 1584.36,
155: 1586.84,
156: 1598.14,
157: 1600.05,
158: 1604.06,
159: 1611.76,
160: 1614.68,
161: 1621.1,
162: 1624.14,
163: 1631.55,
164: 1636.01,
165: 1640.78,
166: 1660.03,
167: 1666.56,
168: 1667.15,
169: 1673.02,
170: 1677.41,
171: 1683.5,
172: 1700.03,
173: 1718.21,
174: 1728.97,
175: 1741.63,
176: 1751.83,
177: 1772.14,
178: 1787.09,
179: 1803.45,
180: 1823.71,
181: 1828.67,
182: 1837.57,
183: 1842.22,
184: 1847.98,
185: 1866.49,
186: 1885.0,
187: 1904.97,
188: 1922.26,
189: 1937.47,
190: 1940.28,
191: 1956.87,
192: 1962.14,
193: 1965.9,
194: 1976.61,
195: 1997.43,
196: 2019.13,
197: 2042.57,
198: 2045.53,
199: 2060.85,
200: 2076.46,
201: 2096.72,
202: 2098.65,
203: 2115.07,
204: 2135.01,
205: 2149.51,
206: 2165.82,
207: 2181.52,
208: 2187.37,
209: 2189.12,
210: 2202.08,
211: 2221.33,
212: 2231.27,
213: 2241.26,
214: 2245.25,
215: 2253.94,
216: 2260.61,
217: 2280.94,
218: 2289.1,
219: 2297.8,
220: 2318.97,
221: 2340.61,
222: 2361.73,
223: 2366.2,
224: 2383.01,
225: 2396.53,
226: 2397.64,
227: 2402.96,
228: 2404.77,
229: 2411.25,
230: 2415.46,
231: 2434.33,
232: 2436.76,
233: 2451.44,
234: 2472.08,
235: 2488.44,
236: 2491.16,
237: 2504.45,
238: 2524.33,
239: 2542.52,
240: 2553.94,
241: 2559.52,
242: 2576.69,
243: 2597.31,
244: 2609.64,
245: 2617.46},
'heart_rate': {0: 68.0,
1: 68.0,
2: 71.0,
3: 77.0,
4: 80.0,
5: 83.0,
6: 83.0,
7: 86.0,
8: 90.0,
9: 92.0,
10: 94.0,
11: 91.0,
12: 88.0,
13: 87.0,
14: 84.0,
15: 82.0,
16: 79.0,
17: 81.0,
18: 83.0,
19: 82.0,
20: 84.0,
21: 87.0,
22: 92.0,
23: 94.0,
24: 97.0,
25: 98.0,
26: 101.0,
27: 101.0,
28: 102.0,
29: 103.0,
30: 104.0,
31: 104.0,
32: 105.0,
33: 105.0,
34: 106.0,
35: 107.0,
36: 107.0,
37: 107.0,
38: 107.0,
39: 110.0,
40: 111.0,
41: 110.0,
42: 111.0,
43: 111.0,
44: 111.0,
45: 113.0,
46: 113.0,
47: 112.0,
48: 111.0,
49: 111.0,
50: 112.0,
51: 112.0,
52: 113.0,
53: 113.0,
54: 112.0,
55: 110.0,
56: 111.0,
57: 112.0,
58: 114.0,
59: 114.0,
60: 114.0,
61: 113.0,
62: 112.0,
63: 114.0,
64: 112.0,
65: 112.0,
66: 112.0,
67: 113.0,
68: 112.0,
69: 113.0,
70: 113.0,
71: 114.0,
72: 115.0,
73: 114.0,
74: 114.0,
75: 115.0,
76: 116.0,
77: 115.0,
78: 115.0,
79: 117.0,
80: 117.0,
81: 118.0,
82: 119.0,
83: 118.0,
84: 115.0,
85: 112.0,
86: 109.0,
87: 107.0,
88: 108.0,
89: 111.0,
90: 114.0,
91: 114.0,
92: 117.0,
93: 117.0,
94: 119.0,
95: 120.0,
96: 120.0,
97: 120.0,
98: 119.0,
99: 119.0,
100: 120.0,
101: 120.0,
102: 119.0,
103: 119.0,
104: 119.0,
105: 118.0,
106: 116.0,
107: 113.0,
108: 111.0,
109: 108.0,
110: 107.0,
111: 107.0,
112: 107.0,
113: 108.0,
114: 111.0,
115: 113.0,
116: 116.0,
117: 116.0,
118: 119.0,
119: 119.0,
120: 120.0,
121: 121.0,
122: 122.0,
123: 122.0,
124: 122.0,
125: 123.0,
126: 123.0,
127: 124.0,
128: 125.0,
129: 125.0,
130: 127.0,
131: 127.0,
132: 126.0,
133: 128.0,
134: 128.0,
135: 128.0,
136: 128.0,
137: 129.0,
138: 129.0,
139: 130.0,
140: 130.0,
141: 130.0,
142: 129.0,
143: 129.0,
144: 128.0,
145: 128.0,
146: 128.0,
147: 127.0,
148: 127.0,
149: 127.0,
150: 128.0,
151: 128.0,
152: 126.0,
153: 126.0,
154: 126.0,
155: 126.0,
156: 126.0,
157: 126.0,
158: 126.0,
159: 127.0,
160: 127.0,
161: 127.0,
162: 128.0,
163: 127.0,
164: 126.0,
165: 126.0,
166: 127.0,
167: 128.0,
168: 128.0,
169: 124.0,
170: 121.0,
171: 120.0,
172: 123.0,
173: 125.0,
174: 128.0,
175: 129.0,
176: 130.0,
177: 129.0,
178: 130.0,
179: 129.0,
180: 130.0,
181: 130.0,
182: 128.0,
183: 128.0,
184: 129.0,
185: 129.0,
186: 131.0,
187: 131.0,
188: 131.0,
189: 131.0,
190: 131.0,
191: 130.0,
192: 130.0,
193: 130.0,
194: 132.0,
195: 131.0,
196: 132.0,
197: 134.0,
198: 134.0,
199: 133.0,
200: 134.0,
201: 134.0,
202: 134.0,
203: 136.0,
204: 137.0,
205: 135.0,
206: 136.0,
207: 136.0,
208: 135.0,
209: 135.0,
210: 135.0,
211: 135.0,
212: 135.0,
213: 134.0,
214: 134.0,
215: 133.0,
216: 133.0,
217: 133.0,
218: 133.0,
219: 132.0,
220: 132.0,
221: 134.0,
222: 133.0,
223: 133.0,
224: 134.0,
225: 134.0,
226: 134.0,
227: 133.0,
228: 133.0,
229: 133.0,
230: 133.0,
231: 134.0,
232: 133.0,
233: 134.0,
234: 132.0,
235: 131.0,
236: 131.0,
237: 132.0,
238: 132.0,
239: 131.0,
240: 131.0,
241: 130.0,
242: 129.0,
243: 130.0,
244: 131.0,
245: 132.0},
'HHMMSS': {0: datetime.time(21, 4, 3),
1: datetime.time(21, 4, 4),
2: datetime.time(21, 4, 7),
3: datetime.time(21, 4, 14),
4: datetime.time(21, 4, 15),
5: datetime.time(21, 4, 16),
6: datetime.time(21, 4, 17),
7: datetime.time(21, 4, 18),
8: datetime.time(21, 4, 20),
9: datetime.time(21, 4, 22),
10: datetime.time(21, 4, 29),
11: datetime.time(21, 4, 33),
12: datetime.time(21, 4, 35),
13: datetime.time(21, 4, 36),
14: datetime.time(21, 4, 38),
15: datetime.time(21, 4, 44),
16: datetime.time(21, 4, 46),
17: datetime.time(21, 4, 49),
18: datetime.time(21, 4, 50),
19: datetime.time(21, 4, 51),
20: datetime.time(21, 4, 53),
21: datetime.time(21, 4, 54),
22: datetime.time(21, 4, 56),
23: datetime.time(21, 4, 58),
24: datetime.time(21, 5),
25: datetime.time(21, 5, 1),
26: datetime.time(21, 5, 4),
27: datetime.time(21, 5, 8),
28: datetime.time(21, 5, 14),
29: datetime.time(21, 5, 20),
30: datetime.time(21, 5, 27),
31: datetime.time(21, 5, 28),
32: datetime.time(21, 5, 36),
33: datetime.time(21, 5, 37),
34: datetime.time(21, 5, 44),
35: datetime.time(21, 5, 49),
36: datetime.time(21, 5, 57),
37: datetime.time(21, 6, 3),
38: datetime.time(21, 6, 4),
39: datetime.time(21, 6, 12),
40: datetime.time(21, 6, 20),
41: datetime.time(21, 6, 28),
42: datetime.time(21, 6, 36),
43: datetime.time(21, 6, 44),
44: datetime.time(21, 6, 46),
45: datetime.time(21, 6, 54),
46: datetime.time(21, 6, 55),
47: datetime.time(21, 7, 3),
48: datetime.time(21, 7, 11),
49: datetime.time(21, 7, 18),
50: datetime.time(21, 7, 25),
51: datetime.time(21, 7, 26),
52: datetime.time(21, 7, 30),
53: datetime.time(21, 7, 31),
54: datetime.time(21, 7, 37),
55: datetime.time(21, 7, 45),
56: datetime.time(21, 7, 53),
57: datetime.time(21, 7, 54),
58: datetime.time(21, 8, 2),
59: datetime.time(21, 8, 3),
60: datetime.time(21, 8, 9),
61: datetime.time(21, 8, 16),
62: datetime.time(21, 8, 22),
63: datetime.time(21, 8, 31),
64: datetime.time(21, 8, 38),
65: datetime.time(21, 8, 43),
66: datetime.time(21, 8, 45),
67: datetime.time(21, 8, 52),
68: datetime.time(21, 8, 58),
69: datetime.time(21, 9, 4),
70: datetime.time(21, 9, 5),
71: datetime.time(21, 9, 11),
72: datetime.time(21, 9, 20),
73: datetime.time(21, 9, 27),
74: datetime.time(21, 9, 35),
75: datetime.time(21, 9, 42),
76: datetime.time(21, 9, 43),
77: datetime.time(21, 9, 49),
78: datetime.time(21, 9, 50),
79: datetime.time(21, 9, 59),
80: datetime.time(21, 10, 5),
81: datetime.time(21, 10, 14),
82: datetime.time(21, 10, 24),
83: datetime.time(21, 10, 25),
84: datetime.time(21, 10, 32),
85: datetime.time(21, 10, 35),
86: datetime.time(21, 10, 38),
87: datetime.time(21, 10, 39),
88: datetime.time(21, 10, 44),
89: datetime.time(21, 10, 48),
90: datetime.time(21, 10, 51),
91: datetime.time(21, 10, 52),
92: datetime.time(21, 10, 57),
93: datetime.time(21, 10, 59),
94: datetime.time(21, 11, 6),
95: datetime.time(21, 11, 13),
96: datetime.time(21, 11, 19),
97: datetime.time(21, 11, 20),
98: datetime.time(21, 11, 26),
99: datetime.time(21, 11, 28),
100: datetime.time(21, 11, 35),
101: datetime.time(21, 11, 36),
102: datetime.time(21, 11, 45),
103: datetime.time(21, 11, 51),
104: datetime.time(21, 11, 52),
105: datetime.time(21, 11, 56),
106: datetime.time(21, 11, 59),
107: datetime.time(21, 12, 2),
108: datetime.time(21, 12, 4),
109: datetime.time(21, 12, 7),
110: datetime.time(21, 12, 11),
111: datetime.time(21, 12, 12),
112: datetime.time(21, 12, 13),
113: datetime.time(21, 12, 15),
114: datetime.time(21, 12, 18),
115: datetime.time(21, 12, 20),
116: datetime.time(21, 12, 24),
117: datetime.time(21, 12, 27),
118: datetime.time(21, 12, 31),
119: datetime.time(21, 12, 35),
120: datetime.time(21, 12, 43),
121: datetime.time(21, 12, 45),
122: datetime.time(21, 12, 50),
123: datetime.time(21, 12, 58),
124: datetime.time(21, 13),
125: datetime.time(21, 13, 3),
126: datetime.time(21, 13, 6),
127: datetime.time(21, 13, 15),
128: datetime.time(21, 13, 16),
129: datetime.time(21, 13, 24),
130: datetime.time(21, 13, 32),
131: datetime.time(21, 13, 33),
132: datetime.time(21, 13, 37),
133: datetime.time(21, 13, 46),
134: datetime.time(21, 13, 53),
135: datetime.time(21, 14, 2),
136: datetime.time(21, 14, 4),
137: datetime.time(21, 14, 13),
138: datetime.time(21, 14, 19),
139: datetime.time(21, 14, 22),
140: datetime.time(21, 14, 25),
141: datetime.time(21, 14, 26),
142: datetime.time(21, 14, 36),
143: datetime.time(21, 14, 44),
144: datetime.time(21, 14, 53),
145: datetime.time(21, 15, 1),
146: datetime.time(21, 15, 7),
147: datetime.time(21, 15, 14),
148: datetime.time(21, 15, 20),
149: datetime.time(21, 15, 28),
150: datetime.time(21, 15, 33),
151: datetime.time(21, 15, 35),
152: datetime.time(21, 15, 41),
153: datetime.time(21, 15, 48),
154: datetime.time(21, 15, 53),
155: datetime.time(21, 15, 54),
156: datetime.time(21, 16),
157: datetime.time(21, 16, 1),
158: datetime.time(21, 16, 3),
159: datetime.time(21, 16, 6),
160: datetime.time(21, 16, 7),
161: datetime.time(21, 16, 10),
162: datetime.time(21, 16, 12),
163: datetime.time(21, 16, 16),
164: datetime.time(21, 16, 18),
165: datetime.time(21, 16, 21),
166: datetime.time(21, 16, 28),
167: datetime.time(21, 16, 31),
168: datetime.time(21, 16, 33),
169: datetime.time(21, 16, 41),
170: datetime.time(21, 16, 43),
171: datetime.time(21, 16, 46),
172: datetime.time(21, 16, 54),
173: datetime.time(21, 17, 1),
174: datetime.time(21, 17, 7),
175: datetime.time(21, 17, 13),
176: datetime.time(21, 17, 19),
177: datetime.time(21, 17, 28),
178: datetime.time(21, 17, 35),
179: datetime.time(21, 17, 42),
180: datetime.time(21, 17, 51),
181: datetime.time(21, 17, 53),
182: datetime.time(21, 17, 57),
183: datetime.time(21, 17, 59),
184: datetime.time(21, 18, 2),
185: datetime.time(21, 18, 10),
186: datetime.time(21, 18, 19),
187: datetime.time(21, 18, 29),
188: datetime.time(21, 18, 37),
189: datetime.time(21, 18, 43),
190: datetime.time(21, 18, 44),
191: datetime.time(21, 18, 51),
192: datetime.time(21, 18, 53),
193: datetime.time(21, 18, 55),
194: datetime.time(21, 19),
195: datetime.time(21, 19, 10),
196: datetime.time(21, 19, 20),
197: datetime.time(21, 19, 29),
198: datetime.time(21, 19, 30),
199: datetime.time(21, 19, 37),
200: datetime.time(21, 19, 44),
201: datetime.time(21, 19, 53),
202: datetime.time(21, 19, 54),
203: datetime.time(21, 20, 2),
204: datetime.time(21, 20, 11),
205: datetime.time(21, 20, 18),
206: datetime.time(21, 20, 26),
207: datetime.time(21, 20, 34),
208: datetime.time(21, 20, 38),
209: datetime.time(21, 20, 39),
210: datetime.time(21, 20, 45),
211: datetime.time(21, 20, 54),
212: datetime.time(21, 21),
213: datetime.time(21, 21, 5),
214: datetime.time(21, 21, 7),
215: datetime.time(21, 21, 12),
216: datetime.time(21, 21, 15),
217: datetime.time(21, 21, 24),
218: datetime.time(21, 21, 28),
219: datetime.time(21, 21, 32),
220: datetime.time(21, 21, 41),
221: datetime.time(21, 21, 50),
222: datetime.time(21, 21, 59),
223: datetime.time(21, 22, 1),
224: datetime.time(21, 22, 9),
225: datetime.time(21, 22, 17),
226: datetime.time(21, 22, 18),
227: datetime.time(21, 22, 22),
228: datetime.time(21, 22, 23),
229: datetime.time(21, 22, 27),
230: datetime.time(21, 22, 29),
231: datetime.time(21, 22, 37),
232: datetime.time(21, 22, 38),
233: datetime.time(21, 22, 44),
234: datetime.time(21, 22, 53),
235: datetime.time(21, 23, 1),
236: datetime.time(21, 23, 2),
237: datetime.time(21, 23, 7),
238: datetime.time(21, 23, 16),
239: datetime.time(21, 23, 23),
240: datetime.time(21, 23, 27),
241: datetime.time(21, 23, 29),
242: datetime.time(21, 23, 36),
243: datetime.time(21, 23, 44),
244: datetime.time(21, 23, 50),
245: datetime.time(21, 23, 55)},
'Hour': {0: 21,
1: 21,
2: 21,
3: 21,
4: 21,
5: 21,
6: 21,
7: 21,
8: 21,
9: 21,
10: 21,
11: 21,
12: 21,
13: 21,
14: 21,
15: 21,
16: 21,
17: 21,
18: 21,
19: 21,
20: 21,
21: 21,
22: 21,
23: 21,
24: 21,
25: 21,
26: 21,
27: 21,
28: 21,
29: 21,
30: 21,
31: 21,
32: 21,
33: 21,
34: 21,
35: 21,
36: 21,
37: 21,
38: 21,
39: 21,
40: 21,
41: 21,
42: 21,
43: 21,
44: 21,
45: 21,
46: 21,
47: 21,
48: 21,
49: 21,
50: 21,
51: 21,
52: 21,
53: 21,
54: 21,
55: 21,
56: 21,
57: 21,
58: 21,
59: 21,
60: 21,
61: 21,
62: 21,
63: 21,
64: 21,
65: 21,
66: 21,
67: 21,
68: 21,
69: 21,
70: 21,
71: 21,
72: 21,
73: 21,
74: 21,
75: 21,
76: 21,
77: 21,
78: 21,
79: 21,
80: 21,
81: 21,
82: 21,
83: 21,
84: 21,
85: 21,
86: 21,
87: 21,
88: 21,
89: 21,
90: 21,
91: 21,
92: 21,
93: 21,
94: 21,
95: 21,
96: 21,
97: 21,
98: 21,
99: 21,
100: 21,
101: 21,
102: 21,
103: 21,
104: 21,
105: 21,
106: 21,
107: 21,
108: 21,
109: 21,
110: 21,
111: 21,
112: 21,
113: 21,
114: 21,
115: 21,
116: 21,
117: 21,
118: 21,
119: 21,
120: 21,
121: 21,
122: 21,
123: 21,
124: 21,
125: 21,
126: 21,
127: 21,
128: 21,
129: 21,
130: 21,
131: 21,
132: 21,
133: 21,
134: 21,
135: 21,
136: 21,
137: 21,
138: 21,
139: 21,
140: 21,
141: 21,
142: 21,
143: 21,
144: 21,
145: 21,
146: 21,
147: 21,
148: 21,
149: 21,
150: 21,
151: 21,
152: 21,
153: 21,
154: 21,
155: 21,
156: 21,
157: 21,
158: 21,
159: 21,
160: 21,
161: 21,
162: 21,
163: 21,
164: 21,
165: 21,
166: 21,
167: 21,
168: 21,
169: 21,
170: 21,
171: 21,
172: 21,
173: 21,
174: 21,
175: 21,
176: 21,
177: 21,
178: 21,
179: 21,
180: 21,
181: 21,
182: 21,
183: 21,
184: 21,
185: 21,
186: 21,
187: 21,
188: 21,
189: 21,
190: 21,
191: 21,
192: 21,
193: 21,
194: 21,
195: 21,
196: 21,
197: 21,
198: 21,
199: 21,
200: 21,
201: 21,
202: 21,
203: 21,
204: 21,
205: 21,
206: 21,
207: 21,
208: 21,
209: 21,
210: 21,
211: 21,
212: 21,
213: 21,
214: 21,
215: 21,
216: 21,
217: 21,
218: 21,
219: 21,
220: 21,
221: 21,
222: 21,
223: 21,
224: 21,
225: 21,
226: 21,
227: 21,
228: 21,
229: 21,
230: 21,
231: 21,
232: 21,
233: 21,
234: 21,
235: 21,
236: 21,
237: 21,
238: 21,
239: 21,
240: 21,
241: 21,
242: 21,
243: 21,
244: 21,
245: 21},
'Minute': {0: 4,
1: 4,
2: 4,
3: 4,
4: 4,
5: 4,
6: 4,
7: 4,
8: 4,
9: 4,
10: 4,
11: 4,
12: 4,
13: 4,
14: 4,
15: 4,
16: 4,
17: 4,
18: 4,
19: 4,
20: 4,
21: 4,
22: 4,
23: 4,
24: 5,
25: 5,
26: 5,
27: 5,
28: 5,
29: 5,
30: 5,
31: 5,
32: 5,
33: 5,
34: 5,
35: 5,
36: 5,
37: 6,
38: 6,
39: 6,
40: 6,
41: 6,
42: 6,
43: 6,
44: 6,
45: 6,
46: 6,
47: 7,
48: 7,
49: 7,
50: 7,
51: 7,
52: 7,
53: 7,
54: 7,
55: 7,
56: 7,
57: 7,
58: 8,
59: 8,
60: 8,
61: 8,
62: 8,
63: 8,
64: 8,
65: 8,
66: 8,
67: 8,
68: 8,
69: 9,
70: 9,
71: 9,
72: 9,
73: 9,
74: 9,
75: 9,
76: 9,
77: 9,
78: 9,
79: 9,
80: 10,
81: 10,
82: 10,
83: 10,
84: 10,
85: 10,
86: 10,
87: 10,
88: 10,
89: 10,
90: 10,
91: 10,
92: 10,
93: 10,
94: 11,
95: 11,
96: 11,
97: 11,
98: 11,
99: 11,
100: 11,
101: 11,
102: 11,
103: 11,
104: 11,
105: 11,
106: 11,
107: 12,
108: 12,
109: 12,
110: 12,
111: 12,
112: 12,
113: 12,
114: 12,
115: 12,
116: 12,
117: 12,
118: 12,
119: 12,
120: 12,
121: 12,
122: 12,
123: 12,
124: 13,
125: 13,
126: 13,
127: 13,
128: 13,
129: 13,
130: 13,
131: 13,
132: 13,
133: 13,
134: 13,
135: 14,
136: 14,
137: 14,
138: 14,
139: 14,
140: 14,
141: 14,
142: 14,
143: 14,
144: 14,
145: 15,
146: 15,
147: 15,
148: 15,
149: 15,
150: 15,
151: 15,
152: 15,
153: 15,
154: 15,
155: 15,
156: 16,
157: 16,
158: 16,
159: 16,
160: 16,
161: 16,
162: 16,
163: 16,
164: 16,
165: 16,
166: 16,
167: 16,
168: 16,
169: 16,
170: 16,
171: 16,
172: 16,
173: 17,
174: 17,
175: 17,
176: 17,
177: 17,
178: 17,
179: 17,
180: 17,
181: 17,
182: 17,
183: 17,
184: 18,
185: 18,
186: 18,
187: 18,
188: 18,
189: 18,
190: 18,
191: 18,
192: 18,
193: 18,
194: 19,
195: 19,
196: 19,
197: 19,
198: 19,
199: 19,
200: 19,
201: 19,
202: 19,
203: 20,
204: 20,
205: 20,
206: 20,
207: 20,
208: 20,
209: 20,
210: 20,
211: 20,
212: 21,
213: 21,
214: 21,
215: 21,
216: 21,
217: 21,
218: 21,
219: 21,
220: 21,
221: 21,
222: 21,
223: 22,
224: 22,
225: 22,
226: 22,
227: 22,
228: 22,
229: 22,
230: 22,
231: 22,
232: 22,
233: 22,
234: 22,
235: 23,
236: 23,
237: 23,
238: 23,
239: 23,
240: 23,
241: 23,
242: 23,
243: 23,
244: 23,
245: 23}}
它是如何右移的?
Seaborn 使用分类 x 轴绘制箱线图和群图,因此放置在位置 0、1、2、…,而线图使用数字 x 轴。一种方法是将数字“分钟”列转换为字符串,以使线图也具有分类性。
事实证明,将“分钟”列改为字符串类型可以解决这个问题。