Python在数学建模中的应用
- 缺失值检查
- 异常值检查
- 描述性统计(绘制热力图、折线图、季节性图)
- 计算描述性统计(count mean std min 25% 50% 75% max)
python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# 读取CSV文件,尝试不同的编码格式
file_path = 'kdata1.csv' # 替换为你的CSV文件路径
# 尝试不同的编码格式
encoding_options = ['utf-8', 'latin1', 'ISO-8859-1', 'cp1252']
data = None
for encoding in encoding_options:
try:
data = pd.read_csv(file_path, encoding=encoding)
print(f"成功使用 '{encoding}' 编码读取文件。")
break # 如果成功读取,退出循环
except UnicodeDecodeError:
print(f"无法使用 '{encoding}' 编码读取文件,尝试下一个编码...")
if data is None:
raise ValueError("无法读取文件,请检查文件编码或文件格式。")
# 假设数据列分别为 PM2.5, PM10, CO, NO2, SO2, O3, 时间
data.columns = ['PM2.5', 'PM10', 'CO', 'NO2', 'SO2', 'O3', 'Time']
# 将时间列转换为日期时间格式
data['Time'] = pd.to_datetime(data['Time'], format='%Y/%m/%d %H:%M')
# 检查缺失值
missing_values = data.isnull().sum()
print("\n缺失值检查:")
print(missing_values[missing_values > 0])
if missing_values.sum() == 0:
print("已检测,数据中没有缺失值。")
else:
# 用相应列的平均值填充缺失值
for column in data.columns:
if data[column].isnull().any():
mean_value = data[column].mean()
data[column].fillna(mean_value, inplace=True)
print(f"列 '{column}' 中的缺失值已用平均值 {mean_value:.2f} 填充。")
# 函数:检测异常值
def detect_outliers_iqr(df):
outliers = {}
for column in df.columns:
if df[column].dtype in [np.float64, np.int64]: # 只处理数值型数据
Q1 = df[column].quantile(0.25)
Q3 = df[column].quantile(0.75)
IQR = Q3 - Q1
lower_bound = Q1 - 1.5 * IQR
upper_bound = Q3 + 1.5 * IQR
outlier_indices = df[(df[column] < lower_bound) | (df[column] > upper_bound)].index.tolist()
outliers[column] = outlier_indices # 记录异常值的索引
return outliers
# 检测异常值
outliers = detect_outliers_iqr(data[['PM2.5', 'PM10', 'CO', 'NO2', 'SO2', 'O3']])
print("\n检测到的异常值及其所在行号:")
for key, indices in outliers.items():
if indices:
print(f"{key} 的异常值行号: {indices}")
else:
print(f"{key} 没有检测到异常值。")
# 去除异常值
for column in outliers.keys():
data = data.drop(index=outliers[column], errors='ignore') # 使用errors='ignore'避免KeyError
# 重置索引
data.reset_index(drop=True, inplace=True)
# 探索性数据分析(EDA)
# 1. 描述性统计
print("\n描述性统计:")
print(data.describe())
# 2. 可视化数据分布
plt.figure(figsize=(15, 10))
# 绘制每个污染物的直方图
for i, column in enumerate(['PM2.5', 'PM10', 'CO', 'NO2', 'SO2', 'O3'], 1):
plt.subplot(2, 3, i)
sns.histplot(data[column], bins=30, kde=True)
plt.title(f'Distribution of {column}')
plt.xlabel(column)
plt.ylabel('Frequency')
plt.tight_layout()
plt.show()
# 3. 相关性分析
plt.figure(figsize=(10, 8))
correlation_matrix = data[['PM2.5', 'PM10', 'CO', 'NO2', 'SO2', 'O3']].corr()
sns.heatmap(correlation_matrix, annot=True, fmt=".2f", cmap='coolwarm', square=True)
plt.title('Correlation Matrix')
plt.show()
# 4. 时间序列分析
plt.figure(figsize=(15, 6))
for column in ['PM2.5', 'PM10', 'CO', 'NO2', 'SO2', 'O3']:
plt.plot(data['Time'], data[column], label=column)
plt.title('Air Quality Over Time')
plt.xlabel('Time')
plt.ylabel('Concentration')
plt.legend()
plt.xticks(rotation=45)
plt.tight_layout()
plt.show()
# 保存去除异常值后的新数据为CSV文件
output_file_path = 'cleaned_kdata1.csv' # 替换为您想要保存的文件名
data.to_csv(output_file_path, index=False)
print(f"\n去除异常值后的新数据已保存为 '{output_file_path}'。")
kdata1.csv的文件内容如下:
PM2.5 PM10 CO NO2 SO2 O3 时间
33 71 0.756 9 25 80 2018/11/14 10:00
32 69 0.736 9 22 86 2018/11/14 11:00
33 64 0.804 9 26 88 2018/11/14 12:00
35 63 0.75 8 26 88 2018/11/14 13:00
30 69 0.855 8 34 88 2018/11/14 14:00
33 76 0.763 8 37 89 2018/11/14 15:00
37 79 0.768 8 47 77 2018/11/14 16:00
44 82 0.863 8 72 40 2018/11/14 17:00
48 102 0.876 8 56 50 2018/11/14 18:00
40 92 0.994 7 81 22 2018/11/14 19:00
56 112 0.944 8 76 18 2018/11/14 20:00
51 89 0.862 8 38 56 2018/11/14 21:00
50 85 0.934 9 36 58 2018/11/14 22:00
55 85 0.919 9 36 57 2018/11/14 23:00
50 81 0.873 9 32 59 2018/11/15 0:00
46 71 0.839 9 26 65 2018/11/15 1:00
43 59 0.781 10 25 68 2018/11/15 2:00
32 51 0.739 9 24 69 2018/11/15 3:00
30 47 0.743 9 23 64 2018/11/15 4:00
36 50 0.881 8 37 39 2018/11/15 5:00
39 54 0.792 7 34 38 2018/11/15 6:00
44 45 0.706 6 32 41 2018/11/15 7:00
35 29 0.68 6 33 42 2018/11/15 8:00
27 31 0.733 7 37 41 2018/11/15 9:00
23 42 0.616 7 36 28 2018/11/15 13:00
21 29 0.598 7 42 25 2018/11/15 14:00
22 35 0.679 8 51 19 2018/11/15 15:00
22 36 0.694 9 50 20 2018/11/15 16:00
20 36 0.648 8 56 18 2018/11/15 17:00
20 41 0.601 8 38 30 2018/11/15 18:00
18 28 0.524 8 35 34 2018/11/15 19:00
23 29 0.589 11 44 24 2018/11/15 20:00
27 37 0.56 11 38 29 2018/11/15 21:00
20 34 0.53 9 32 32 2018/11/15 22:00
17 24 0.519 7 26 35 2018/11/15 23:00
12 17 0.499 7 21 41 2018/11/16 0:00
13 17 0.486 6 16 48 2018/11/16 1:00
16 17 0.475 7 16 51 2018/11/16 2:00
16 17 0.481 6 14 49 2018/11/16 3:00
18 25 0.488 6 16 44 2018/11/16 4:00
23 24 0.479 6 15 50 2018/11/16 5:00
24 22 0.504 6 25 44 2018/11/16 6:00
20 29 0.561 7 33 39 2018/11/16 7:00
26 22 0.537 7 25 62 2018/11/16 8:00
16 24 0.508 7 25 70 2018/11/16 9:00
14 21 0.542 6 25 74 2018/11/16 10:00
15 29 0.563 7 22 80 2018/11/16 11:00
21 25 0.596 7 19 87 2018/11/16 12:00
22 31 0.615 6 19 84 2018/11/16 13:00
23 29 0.676 6 22 65 2018/11/16 14:00
16 32 0.655 7 20 47 2018/11/16 15:00
19 21 0.652 6 22 35 2018/11/16 16:00
23 28 0.659 6 24 33 2018/11/16 17:00
26 35 0.658 6 28 33 2018/11/16 18:00
28 44 0.651 7 21 42 2018/11/16 19:00
30 39 0.672 8 19 47 2018/11/16 20:00
29 40 0.685 7 18 46 2018/11/16 21:00
31 35 0.678 6 23 42 2018/11/16 22:00
42 36 0.666 9 21 42 2018/11/16 23:00
26 37 0.648 10 18 46 2018/11/17 0:00
26 41 0.548 8 16 48 2018/11/17 1:00
18 28 0.445 6 12 53 2018/11/17 2:00
11 17 0.44 6 15 48 2018/11/17 3:00
8 22 0.471 8 19 38 2018/11/17 4:00
19 25 0.498 8 21 36 2018/11/17 5:00
15 26 0.559 7 27 29 2018/11/17 6:00
8 27 0.58 7 35 19 2018/11/17 7:00
17 38 0.63 8 28 26 2018/11/17 8:00
17 38 0.685 8 26 39 2018/11/17 9:00
15 40 0.587 7 33 34 2018/11/17 10:00
13 40 0.576 7 30 39 2018/11/17 11:00
16 46 0.575 7 31 38 2018/11/17 12:00
15 52 0.543 8 31 39 2018/11/17 13:00
21 47 0.555 8 38 34 2018/11/17 14:00
16 47 0.58 8 42 31 2018/11/17 15:00
28 46 0.569 8 43 35 2018/11/17 16:00
20 59 0.626 7 43 34 2018/11/17 17:00
30 55 0.631 7 43 32 2018/11/17 18:00
20 47 0.624 6 40 31 2018/11/17 19:00
25 43 0.642 6 42 26 2018/11/17 20:00
30 37 0.587 6 37 28 2018/11/17 21:00
26 27 0.587 6 32 28 2018/11/17 22:00
27 27 0.608 6 28 31 2018/11/17 23:00
23 21 0.579 6 24 35 2018/11/18 0:00
22 20 0.507 6 14 54 2018/11/18 1:00
13 9 0.562 5 14 60 2018/11/18 2:00
15 13 0.529 6 16 55 2018/11/18 3:00
18 14 0.504 6 12 56 2018/11/18 4:00
18 13 0.522 6 16 49 2018/11/18 5:00
15 12 0.555 6 20 43 2018/11/18 6:00
24 18 0.508 5 24 45 2018/11/18 7:00
19 18 0.509 5 25 40 2018/11/18 8:00
18 19 0.552 6 37 24 2018/11/18 9:00
15 16 0.626 6 33 26 2018/11/18 10:00
26 19 0.624 6 31 35 2018/11/18 11:00
11 17 0.643 6 33 25 2018/11/18 12:00
20 23 0.644 5 32 29 2018/11/18 13:00
15 25 0.638 6 31 38 2018/11/18 14:00
30 25 0.676 5 34 38 2018/11/18 15:00
23 18 0.665 5 39 34 2018/11/18 16:00
26 20 0.671 5 43 28 2018/11/18 17:00
26 30 0.71 6 52 14 2018/11/18 18:00
30 30 0.748 6 45 24 2018/11/18 19:00
38 38 0.759 5 40 30 2018/11/18 20:00
36 33 0.841 5 41 26 2018/11/18 21:00
41 31 0.713 5 36 26 2018/11/18 22:00
25 26 0.705 6 37 21 2018/11/18 23:00
28 25 0.702 6 23 37 2018/11/19 0:00
34 31 0.716 6 21 40 2018/11/19 1:00
35 33 0.72 6 20 38 2018/11/19 2:00
43 31 0.744 6 22 34 2018/11/19 3:00
48 41 0.793 7 22 32 2018/11/19 4:00
50 42 0.885 7 23 24 2018/11/19 5:00
58 58 1.039 8 27 24 2018/11/19 6:00
65 64 1.385 9 36 18 2018/11/19 7:00
67 77 1.562 10 41 17 2018/11/19 8:00
69 77 1.479 10 35 25 2018/11/19 9:00
73 85 1.495 10 37 27 2018/11/19 10:00
73 92 1.522 10 44 29 2018/11/19 11:00
72 96 1.482 10 44 34 2018/11/19 12:00
75 87 1.484 10 44 42 2018/11/19 13:00
82 96 1.454 10 48 45 2018/11/19 14:00
73 92 1.381 10 52 41 2018/11/19 15:00
71 85 1.691 10 67 22 2018/11/19 16:00
72 100 2.032 10 88 4 2018/11/19 17:00
90 136 1.753 10 82 4 2018/11/19 18:00
64 103 1.661 12 70 4 2018/11/19 19:00
67 95 1.734 11 66 3 2018/11/19 20:00
77 95 1.69 10 64 2 2018/11/19 21:00
77 105 1.61 9 59 2 2018/11/19 22:00
74 99 1.664 9 54 2 2018/11/19 23:00
69 93 1.632 9 50 3 2018/11/20 0:00
64 89 1.46 8 48 3 2018/11/20 1:00
72 75 1.3 7 44 4 2018/11/20 2:00
63 63 1.137 6 47 5 2018/11/20 3:00
56 59 1.048 6 42 12 2018/11/20 4:00
48 63 1.042 6 41 11 2018/11/20 5:00
54 55 1.16 6 42 10 2018/11/20 6:00
50 67 1.368 8 48 5 2018/11/20 7:00
57 67 1.391 10 46 16 2018/11/20 8:00
70 101 1.649 12 46 36 2018/11/20 9:00
103 132 1.291 12 39 96 2018/11/20 12:00
82 106 1.109 11 35 102 2018/11/20 13:00
69 96 0.997 10 28 113 2018/11/20 14:00
62 78 0.955 9 29 111 2018/11/20 15:00
54 84 0.955 9 45 87 2018/11/20 16:00
58 93 1.002 8 50 76 2018/11/20 17:00
54 94 0.988 9 42 76 2018/11/20 18:00
56 94 0.941 10 41 77 2018/11/20 19:00
67 89 0.965 10 46 62 2018/11/20 20:00
64 95 1.055 10 54 43 2018/11/20 21:00
69 90 1.241 9 75 12 2018/11/20 22:00
72 97 1.424 8 75 3 2018/11/20 23:00
75 93 1.305 8 70 4 2018/11/21 0:00
74 98 1.144 8 62 3 2018/11/21 1:00
78 79 1.224 7 58 3 2018/11/21 2:00
74 77 1.224 7 53 4 2018/11/21 3:00
63 67 1.177 6 44 7 2018/11/21 4:00
58 60 1.146 7 53 4 2018/11/21 5:00
58 75 1.247 7 50 3 2018/11/21 6:00
64 74 1.409 8 48 3 2018/11/21 7:00
72 81 0.95 7 42 4 2018/11/21 8:00
60 80 1.039 8 38 10 2018/11/21 9:00
96 129 1.067 6 40 17 2018/11/21 12:00
60 71 1.358 6 36 30 2018/11/21 13:00
100 106 1.76 8 42 38 2018/11/21 14:00
100 112 2.011 9 43 50 2018/11/21 15:00
90 104 2.298 11 49 53 2018/11/21 16:00
91 110 1.533 10 43 60 2018/11/21 17:00
93 116 2.094 11 50 59 2018/11/21 18:00
121 140 2.001 12 55 48 2018/11/21 19:00
122 150 1.594 10 50 54 2018/11/21 20:00
134 163 1.507 11 46 44 2018/11/21 21:00
124 155 1.103 10 42 32 2018/11/21 22:00
86 112 1.078 10 42 26 2018/11/21 23:00
75 108 1.041 10 43 20 2018/11/22 0:00
71 98 1.044 8 42 11 2018/11/22 1:00
63 87 1.341 8 45 7 2018/11/22 2:00
68 96 1.289 8 44 12 2018/11/22 3:00
84 105 1.277 8 41 20 2018/11/22 4:00
109 147 1.251 8 44 9 2018/11/22 5:00
108 142 1.34 7 45 4 2018/11/22 6:00
108 143 1.788 10 55 4 2018/11/22 7:00
105 150 1.563 12 56 10 2018/11/22 8:00
112 146 1.258 13 51 24 2018/11/22 9:00
81 109 1.06 11 45 47 2018/11/22 10:00
79 96 1.034 12 42 61 2018/11/22 11:00
74 131 0.957 12 34 85 2018/11/22 12:00
71 88 1.148 12 38 85 2018/11/22 13:00
73 108 1.24 13 37 88 2018/11/22 14:00
73 114 1.455 14 39 96 2018/11/22 15:00
78 107 1.726 17 64 76 2018/11/22 16:00
84 122 1.619 14 94 34 2018/11/22 17:00
94 146 1.745 11 102 9 2018/11/22 18:00
90 160 1.916 11 103 4 2018/11/22 19:00
95 174 1.401 11 94 2 2018/11/22 20:00
76 126 1.042 10 86 6 2018/11/22 21:00
56 106 0.975 10 63 24 2018/11/22 22:00
55 86 1.085 11 47 38 2018/11/22 23:00
54 82 0.946 10 49 30 2018/11/23 0:00
54 87 0.944 9 51 24 2018/11/23 1:00
50 78 0.946 8 59 9 2018/11/23 2:00
61 83 0.941 9 62 6 2018/11/23 3:00
55 83 1.033 9 63 3 2018/11/23 4:00
64 94 1.058 11 67 5 2018/11/23 5:00
66 108 1.204 11 70 3 2018/11/23 6:00
69 102 1.353 11 71 5 2018/11/23 7:00
75 132 1.17 14 61 14 2018/11/23 8:00
82 137 1.115 17 63 27 2018/11/23 9:00
92 135 1.025 16 50 47 2018/11/23 10:00
74 125 0.944 15 42 66 2018/11/23 11:00
68 111 0.84 12 26 91 2018/11/23 12:00
55 97 0.803 11 26 98 2018/11/23 13:00
55 101 0.782 10 26 103 2018/11/23 14:00
46 89 0.791 9 34 91 2018/11/23 15:00
47 84 0.829 8 49 73 2018/11/23 16:00
44 100 0.994 8 75 39 2018/11/23 17:00
52 139 1.371 8 92 15 2018/11/23 18:00
71 155 1.517 9 98 3 2018/11/23 19:00
69 142 1.099 10 99 3 2018/11/23 20:00
87 135 1.051 11 91 4 2018/11/23 21:00
84 127 1.095 10 87 2 2018/11/23 22:00
78 128 1.094 10 83 4 2018/11/23 23:00
79 117 1.199 9 75 3 2018/11/24 0:00
78 111 1.21 8 71 2 2018/11/24 1:00
76 99 1.311 8 60 3 2018/11/24 2:00
67 94 1.156 7 54 3 2018/11/24 3:00
69 81 1.102 7 52 3 2018/11/24 4:00
58 87 1.175 8 53 2 2018/11/24 5:00
65 125 1.301 8 55 2 2018/11/24 6:00
67 152 1.438 9 60 4 2018/11/24 7:00
67 107 1.349 12 66 4 2018/11/24 8:00
73 113 1.515 17 77 5 2018/11/24 9:00
85 133 1.477 18 81 12 2018/11/24 10:00
81 137 1.38 18 84 18 2018/11/24 11:00
84 131 1.307 19 84 26 2018/11/24 12:00
67 124 1.476 22 81 44 2018/11/24 13:00
73 112 1.495 21 86 51 2018/11/24 14:00
79 118 1.493 19 102 46 2018/11/24 15:00
88 127 1.344 18 105 62 2018/11/24 16:00
99 155 1.99 15 150 11 2018/11/24 17:00
131 270 1.957 15 134 2 2018/11/24 18:00
97 173 1.46 12 105 8 2018/11/24 19:00
95 142 1.303 12 77 25 2018/11/24 20:00
85 127 1.428 13 83 16 2018/11/24 21:00
97 131 1.501 12 92 5 2018/11/24 22:00
103 149 1.787 11 84 4 2018/11/24 23:00
98 140 1.564 10 75 4 2018/11/25 0:00
105 143 1.598 10 69 6 2018/11/25 1:00
110 151 1.637 9 63 9 2018/11/25 2:00
117 144 1.751 9 63 8 2018/11/25 3:00
113 149 1.762 9 63 5 2018/11/25 4:00
124 147 1.776 10 61 5 2018/11/25 5:00
122 159 1.799 9 59 2 2018/11/25 6:00
124 156 1.873 11 68 4 2018/11/25 7:00
120 189 1.743 13 71 12 2018/11/25 8:00
131 177 1.823 15 80 14 2018/11/25 9:00
142 186 1.799 16 79 39 2018/11/25 10:00
139 185 1.624 17 60 89 2018/11/25 11:00
125 174 1.366 16 37 143 2018/11/25 12:00
107 140 1.224 15 31 163 2018/11/25 13:00
90 119 1.204 14 31 170 2018/11/25 14:00
84 120 1.235 13 40 157 2018/11/25 15:00
101 165 1.34 12 53 133 2018/11/25 16:00
98 184 1.374 13 64 107 2018/11/25 17:00
102 158 1.849 10 114 32 2018/11/25 18:00
128 176 1.865 11 102 29 2018/11/25 19:00
143 193 1.819 11 97 23 2018/11/25 20:00
142 191 2.128 11 102 4 2018/11/25 21:00
142 185 2.443 10 90 2 2018/11/25 22:00
140 190 2.502 9 79 2 2018/11/25 23:00
134 173 2.485 9 66 2 2018/11/26 0:00
133 165 2.321 10 62 2 2018/11/26 1:00
118 156 2.271 10 58 2 2018/11/26 2:00
117 156 2.115 9 50 2 2018/11/26 3:00
110 136 1.952 9 46 2 2018/11/26 4:00
106 138 1.709 9 51 2 2018/11/26 5:00
106 144 1.626 9 47 2 2018/11/26 6:00
100 140 1.81 10 50 2 2018/11/26 7:00
96 127 1.853 10 57 3 2018/11/26 8:00
98 152 1.713 10 70 6 2018/11/26 9:00
101 157 1.702 8 68 10 2018/11/26 10:00
104 169 1.79 8 54 33 2018/11/26 11:00
117 141 1.514 8 55 44 2018/11/26 12:00
129 135 1.502 8 58 55 2018/11/26 13:00
143 151 1.595 8 69 50 2018/11/26 14:00
155 175 1.637 8 83 44 2018/11/26 15:00
168 193 1.791 8 99 21 2018/11/26 16:00
164 208 2.029 8 101 3 2018/11/26 17:00
152 222 2.497 9 93 3 2018/11/26 18:00
144 220 2.87 11 79 2 2018/11/26 19:00
140 216 2.614 12 77 2 2018/11/26 20:00
127 219 1.988 12 84 1 2018/11/26 21:00
79 93 1.677 9 77 1 2018/11/26 22:00
54 61 1.5 7 77 2 2018/11/26 23:00
45 53 1.456 7 75 3 2018/11/27 0:00
39 50 1.686 6 64 8 2018/11/27 1:00
43 51 1.454 6 43 23 2018/11/27 2:00
44 51 1.412 6 32 37 2018/11/27 3:00
36 61 1.386 6 26 48 2018/11/27 4:00
42 62 1.386 6 27 46 2018/11/27 5:00
46 69 1.425 6 33 39 2018/11/27 6:00
45 69 1.716 6 43 27 2018/11/27 7:00
51 71 1.884 6 47 26 2018/11/27 8:00
55 66 1.656 6 51 28 2018/11/27 9:00
72 82 1.762 7 60 32 2018/11/27 10:00
87 102 1.966 8 70 36 2018/11/27 11:00
85 111 2.097 11 77 43 2018/11/27 12:00
78 108 2.049 14 81 62 2018/11/27 13:00
82 111 2.146 13 86 65 2018/11/27 14:00
89 121 2.043 12 92 61 2018/11/27 15:00
87 123 2.252 11 125 23 2018/11/27 16:00
95 146 2.999 10 128 4 2018/11/27 17:00
139 265 3.85 12 123 4 2018/11/27 18:00
134 239 3.895 14 106 2 2018/11/27 19:00
121 213 3.613 14 92 2 2018/11/27 20:00
115 175 3.299 14 82 2 2018/11/27 21:00
102 142 3.23 14 77 2 2018/11/27 22:00
91 129 2.405 12 76 2 2018/11/27 23:00
89 118 2.348 11 66 2 2018/11/28 0:00
84 116 2.246 11 59 2 2018/11/28 1:00
86 104 1.956 10 58 2 2018/11/28 2:00
86 110 1.812 8 50 2 2018/11/28 3:00
84 105 1.714 8 48 2 2018/11/28 4:00
92 118 1.814 8 48 2 2018/11/28 5:00
103 127 1.944 9 53 2 2018/11/28 6:00
111 161 2.336 11 74 3 2018/11/28 7:00
119 180 2.609 11 94 3 2018/11/28 8:00
100 156 2.615 10 90 4 2018/11/28 9:00
128 186 2.386 10 84 9 2018/11/28 10:00
125 136 2.315 10 94 16 2018/11/28 11:00
102 126 2.33 10 90 28 2018/11/28 12:00
99 173 2.497 8 116 5 2018/11/28 18:00
136 216 2.555 8 111 3 2018/11/28 19:00
143 195 2.612 8 105 2 2018/11/28 20:00
140 184 2.601 9 102 2 2018/11/28 21:00
144 197 2.57 10 97 2 2018/11/28 22:00
146 188 2.542 9 87 2 2018/11/28 23:00
145 192 2.12 9 85 2 2018/11/29 0:00
153 184 2.522 9 75 2 2018/11/29 1:00
142 174 2.198 9 66 2 2018/11/29 2:00
138 176 2.346 9 52 2 2018/11/29 3:00
119 163 2.131 9 47 2 2018/11/29 4:00
128 162 1.634 7 48 2 2018/11/29 5:00
99 154 1.788 8 53 3 2018/11/29 6:00
120 157 2.051 10 67 2 2018/11/29 7:00
121 193 1.966 12 81 4 2018/11/29 8:00
164 231 1.692 12 78 12 2018/11/29 9:00
170 204 1.631 14 78 21 2018/11/29 10:00
150 178 2.044 16 108 21 2018/11/29 11:00
118 180 1.329 12 40 100 2018/11/29 14:00
92 182 1.98 13 96 73 2018/11/29 15:00
122 215 2.886 16 145 40 2018/11/29 16:00
178 246 2.401 16 115 6 2018/11/29 17:00
132 175 2.394 17 100 3 2018/11/29 18:00
153 178 2.256 15 87 2 2018/11/29 19:00
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54 57 0.76 26 14 43 2019/1/1 1:00
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35 52 1.11 34 11 31 2019/1/9 0:00
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30 75 0.7 35 14 93 2019/5/29 9:00
26 59 0.73 31 15 118 2019/5/29 10:00
22 58 0.77 22 12 144 2019/5/29 11:00
28 55 0.65 8 9 162 2019/5/29 12:00
20 41 0.65 7 7 158 2019/5/29 13:00
17 49 0.67 7 6 163 2019/5/29 14:00
12 42 0.6 9 8 161 2019/5/29 15:00
17 41 0.62 12 8 164 2019/5/29 16:00
15 44 0.69 19 9 170 2019/5/29 17:00
29 47 0.71 27 11 173 2019/5/29 18:00
30 54 0.72 28 12 175 2019/5/29 19:00
34 65 0.7 25 12 168 2019/5/29 20:00
30 56 0.73 27 12 154 2019/5/29 21:00
29 57 0.77 27 12 132 2019/5/29 22:00
32 59 0.79 29 14 121 2019/5/29 23:00
32 61 0.84 37 15 100 2019/5/30 0:00
31 54 0.83 35 16 92 2019/5/30 1:00
28 57 0.84 38 16 80 2019/5/30 2:00
28 55 0.87 37 16 75 2019/5/30 3:00
33 64 0.87 34 15 74 2019/5/30 4:00
28 61 0.9 39 14 65 2019/5/30 5:00
33 65 1.02 52 15 51 2019/5/30 6:00
29 57 0.94 30 9 92 2019/5/30 8:00
17 29 2.06 48 10 73 2019/5/30 9:00
26 39 1.07 28 10 103 2019/5/30 10:00
25 28 1.46 36 10 94 2019/5/30 11:00
36 38 1.14 30 9 98 2019/5/30 12:00
21 43 0.98 25 14 88 2019/5/30 18:00
24 34 1.09 29 14 76 2019/5/30 19:00
22 29 1.11 31 11 60 2019/5/30 20:00
36 38 1.13 45 10 32 2019/5/30 23:00
30 36 1 26 10 56 2019/5/31 0:00
30 36 0.93 16 8 67 2019/5/31 3:00
45 46 1.39 27 9 52 2019/5/31 6:00
48 50 1.01 21 8 74 2019/5/31 7:00
37 46 0.94 17 7 95 2019/5/31 8:00
38 50 0.95 15 10 115 2019/5/31 9:00
37 43 0.93 12 11 143 2019/5/31 10:00
41 50 0.87 6 9 162 2019/5/31 11:00
30 44 0.88 10 8 183 2019/5/31 12:00
42 70 1.19 49 9 105 2019/5/31 19:00
49 78 1.13 66 10 66 2019/5/31 20:00
50 85 1.3 94 11 25 2019/5/31 21:00
45 86 1.88 73 14 28 2019/6/1 0:00
54 62 1.05 54 15 29 2019/6/1 2:00
50 70 1.03 75 15 6 2019/6/1 3:00
47 85 1.6 84 15 5 2019/6/1 4:00
52 85 1.19 68 16 37 2019/6/1 5:00
57 88 1.04 60 16 93 2019/6/1 6:00
62 96 1.09 26 17 164 2019/6/1 7:00
52 88 0.91 16 16 168 2019/6/1 8:00
33 67 0.76 9 14 183 2019/6/1 9:00
34 58 0.76 12 13 196 2019/6/1 10:00
29 58 0.83 13 12 204 2019/6/1 11:00
38 62 0.78 10 11 198 2019/6/1 12:00
35 54 0.63 8 9 176 2019/6/1 13:00
25 33 0.64 11 10 178 2019/6/1 14:00
22 38 0.68 13 9 178 2019/6/1 15:00
32 41 0.78 18 10 187 2019/6/1 16:00
32 54 0.79 19 11 170 2019/6/1 17:00
31 60 0.8 20 11 146 2019/6/1 18:00
42 64 0.87 35 12 118 2019/6/1 19:00
33 62 0.89 30 13 112 2019/6/1 20:00
34 63 0.86 30 14 106 2019/6/1 21:00
44 57 0.91 29 14 99 2019/6/1 22:00
48 67 0.94 29 14 83 2019/6/1 23:00
54 69 0.96 33 14 64 2019/6/2 0:00
59 72 0.99 30 15 57 2019/6/2 1:00
57 86 0.94 22 15 56 2019/6/2 2:00
59 73 0.92 21 15 50 2019/6/2 3:00
47 67 0.97 23 15 50 2019/6/2 4:00
54 63 1.06 45 16 37 2019/6/2 5:00
49 87 1.16 36 19 60 2019/6/2 6:00
49 92 1.24 30 20 91 2019/6/2 7:00
53 89 1.29 28 21 124 2019/6/2 8:00
61 94 1.19 21 20 167 2019/6/2 9:00
46 68 1.03 15 18 194 2019/6/2 10:00
47 63 1 12 16 212 2019/6/2 11:00
33 59 1 13 15 225 2019/6/2 12:00
43 63 1.05 11 15 234 2019/6/2 14:00
45 61 1.02 14 16 216 2019/6/2 15:00
37 66 0.87 13 14 178 2019/6/2 16:00
32 52 0.86 18 14 170 2019/6/2 17:00
36 49 0.9 32 15 133 2019/6/2 18:00
26 56 0.87 49 15 97 2019/6/2 19:00
38 63 0.96 47 18 127 2019/6/2 20:00
45 90 1 48 19 124 2019/6/2 21:00
47 83 1.06 45 19 107 2019/6/2 22:00
64 90 1.11 43 19 95 2019/6/2 23:00
60 84 1.14 40 20 91 2019/6/3 0:00
55 89 1.14 36 21 96 2019/6/3 1:00
68 93 1.16 30 22 100 2019/6/3 2:00
68 95 1.19 35 21 89 2019/6/3 3:00
69 101 1.28 51 21 77 2019/6/3 4:00
83 119 1.31 43 22 69 2019/6/3 5:00
70 111 1.29 38 24 80 2019/6/3 6:00
69 99 1.44 36 25 109 2019/6/3 7:00
63 103 1.49 33 24 126 2019/6/3 8:00
58 98 1.34 26 21 144 2019/6/3 9:00
34 41 0.96 11 17 189 2019/6/3 13:00
26 44 0.96 9 17 178 2019/6/3 14:00
22 43 0.9 9 17 157 2019/6/3 15:00
15 31 0.86 12 17 143 2019/6/3 16:00
22 31 0.88 19 18 140 2019/6/3 17:00
21 39 1.04 40 20 106 2019/6/3 18:00
21 54 1.14 34 24 146 2019/6/3 19:00
43 66 1.08 35 25 124 2019/6/3 20:00
30 58 1.08 40 24 105 2019/6/3 21:00
37 60 1.2 35 27 121 2019/6/3 22:00
38 68 1.27 29 27 135 2019/6/3 23:00
48 71 1.24 26 26 135 2019/6/4 0:00
50 69 1.3 27 26 118 2019/6/4 1:00
52 69 1.29 31 25 95 2019/6/4 2:00
48 63 1.28 30 26 85 2019/6/4 3:00
54 85 1.26 29 25 76 2019/6/4 4:00
69 87 1.37 49 26 61 2019/6/4 5:00
53 101 1.4 33 27 90 2019/6/4 6:00
58 96 1.47 31 30 111 2019/6/4 7:00
59 89 1.53 29 30 139 2019/6/4 8:00
51 94 1.54 25 30 179 2019/6/4 9:00
55 92 1.43 16 28 212 2019/6/4 10:00
55 74 1.3 11 27 221 2019/6/4 11:00
40 74 1.16 20 15 250 2019/6/4 16:00
39 71 1.01 32 15 156 2019/6/4 18:00
37 73 0.94 48 15 94 2019/6/4 19:00
39 78 0.92 34 16 122 2019/6/4 20:00
45 64 0.9 35 18 130 2019/6/4 21:00
48 81 0.84 31 18 124 2019/6/4 22:00
45 65 0.82 29 18 118 2019/6/4 23:00
40 65 0.8 24 17 112 2019/6/5 0:00
43 62 0.82 27 17 97 2019/6/5 1:00
41 59 0.86 28 17 93 2019/6/5 2:00
45 69 0.93 29 17 88 2019/6/5 3:00
59 74 1 29 16 94 2019/6/5 4:00
53 76 1.07 35 16 87 2019/6/5 5:00
50 73 0.97 34 16 101 2019/6/5 6:00
48 79 0.92 28 16 144 2019/6/5 7:00
45 88 0.95 28 16 155 2019/6/5 8:00
55 80 0.92 23 16 191 2019/6/5 9:00
48 87 0.82 16 15 205 2019/6/5 10:00
44 71 0.77 11 15 204 2019/6/5 11:00
38 58 0.81 9 16 211 2019/6/5 12:00
38 67 0.84 11 16 229 2019/6/5 13:00
41 69 0.89 13 17 234 2019/6/5 14:00
44 67 0.92 14 19 240 2019/6/5 15:00
40 71 0.9 16 21 224 2019/6/5 16:00
48 82 0.96 19 23 241 2019/6/5 17:00
55 81 0.96 19 23 230 2019/6/5 18:00
45 75 0.98 17 24 217 2019/6/5 19:00
46 73 0.94 17 24 201 2019/6/5 20:00
45 69 0.9 17 23 172 2019/6/5 21:00
40 63 0.92 18 23 147 2019/6/5 22:00
30 68 0.92 16 20 112 2019/6/5 23:00
30 43 0.88 14 19 89 2019/6/6 0:00
30 38 0.87 14 18 67 2019/6/6 1:00
35 36 0.9 18 17 42 2019/6/6 3:00
31 45 0.95 16 16 49 2019/6/6 4:00
30 35 0.86 14 14 99 2019/6/6 5:00
6 7 1.42 37 10 52 2019/6/6 8:00
11 17 0.96 13 10 72 2019/6/6 11:00
7 13 0.79 8 8 94 2019/6/6 12:00
11 11 0.92 7 7 121 2019/6/6 13:00
9 36 0.79 9 4 104 2019/6/6 14:00
10 21 0.82 13 3 91 2019/6/6 15:00
14 15 0.75 14 3 91 2019/6/6 16:00
9 17 0.68 17 1 95 2019/6/6 18:00
11 13 0.82 20 2 92 2019/6/6 19:00
15 17 0.66 13 1 102 2019/6/6 21:00
8 19 0.67 14 1 89 2019/6/6 23:00
5 14 0.82 18 1 72 2019/6/7 0:00
10 11 0.92 18 1 63 2019/6/7 1:00
11 16 1.31 25 1 36 2019/6/7 4:00
14 21 0.94 26 1 40 2019/6/7 5:00
17 22 0.79 17 2 76 2019/6/7 6:00
15 17 0.55 15 2 95 2019/6/7 7:00
10 19 0.53 12 2 119 2019/6/7 8:00
16 30 0.6 13 2 131 2019/6/7 9:00
23 36 0.6 11 2 152 2019/6/7 10:00
23 37 0.73 10 2 168 2019/6/7 11:00
32 44 0.62 9 2 176 2019/6/7 12:00
23 40 0.74 9 2 195 2019/6/7 14:00
37 42 0.88 12 2 208 2019/6/7 15:00
39 45 0.85 13 2 201 2019/6/7 16:00
37 49 0.84 15 2 186 2019/6/7 17:00
36 50 0.84 16 2 168 2019/6/7 18:00
33 49 0.84 18 2 147 2019/6/7 19:00
39 46 0.85 19 2 143 2019/6/7 20:00
33 45 0.84 18 2 138 2019/6/7 21:00
38 54 0.86 19 2 129 2019/6/7 22:00
45 53 0.87 15 2 123 2019/6/7 23:00
38 52 0.88 18 2 88 2019/6/8 0:00
39 49 0.93 20 3 71 2019/6/8 1:00
41 47 1.02 22 2 61 2019/6/8 2:00
45 51 1.02 21 2 56 2019/6/8 3:00
30 45 0.81 8 4 215 2019/6/8 14:00
39 60 0.96 14 9 137 2019/6/9 0:00
31 51 0.92 12 8 128 2019/6/9 1:00
37 48 0.88 15 8 109 2019/6/9 2:00
37 49 0.92 17 8 91 2019/6/9 3:00
38 50 0.84 17 8 84 2019/6/9 4:00
29 42 0.93 21 8 80 2019/6/9 5:00
25 50 0.91 25 9 87 2019/6/9 6:00
37 62 1.04 21 17 145 2019/6/9 8:00
34 66 0.98 16 37 190 2019/6/9 9:00
41 65 0.96 14 47 219 2019/6/9 10:00
46 58 0.87 8 38 223 2019/6/9 11:00
33 46 0.83 9 45 229 2019/6/9 12:00
31 55 0.92 11 48 253 2019/6/9 14:00
33 53 0.96 15 42 251 2019/6/9 15:00
41 63 1 15 36 237 2019/6/9 16:00
45 62 1.19 25 29 207 2019/6/9 18:00
47 61 1.14 26 26 171 2019/6/9 19:00
46 60 1.14 27 26 148 2019/6/9 20:00
46 69 1.17 23 25 148 2019/6/9 21:00
44 66 1.27 22 26 141 2019/6/9 22:00
47 69 1.26 21 25 132 2019/6/9 23:00
46 68 1.24 25 23 117 2019/6/10 0:00
57 71 1.24 25 22 109 2019/6/10 1:00
49 65 1.42 26 21 89 2019/6/10 2:00
33 53 0.98 36 25 91 2019/6/11 7:00
26 35 0.91 30 27 109 2019/6/11 8:00
21 49 0.86 17 20 149 2019/6/11 9:00
22 45 0.87 16 18 175 2019/6/11 10:00
26 47 0.91 15 16 192 2019/6/11 11:00
28 54 0.92 13 16 216 2019/6/11 12:00
33 50 0.94 14 16 221 2019/6/11 13:00
28 61 0.97 17 17 218 2019/6/11 14:00
32 61 1.01 17 16 220 2019/6/11 15:00