broke and fixed it; scaler fixed; dataset.csv is not saved; nice
Browse files- __pycache__/data_api_calls.cpython-312.pyc +0 -0
- app.py +1 -2
- data_api_calls.py +3 -2
- dataset.csv +0 -9
- scalers/feature_scaler_NO2.joblib +2 -2
- scalers/feature_scaler_O3.joblib +2 -2
- src/data_loading.py +1 -1
- test.ipynb +694 -0
- test.py +3 -0
__pycache__/data_api_calls.cpython-312.pyc
CHANGED
Binary files a/__pycache__/data_api_calls.cpython-312.pyc and b/__pycache__/data_api_calls.cpython-312.pyc differ
|
|
app.py
CHANGED
@@ -16,8 +16,7 @@ st.set_page_config(
|
|
16 |
|
17 |
alt.themes.enable("dark")
|
18 |
|
19 |
-
get_data()
|
20 |
-
dataset = pd.read_csv("dataset.csv")
|
21 |
today = dataset.iloc[-1]
|
22 |
previous_day = dataset.iloc[-2]
|
23 |
prediction = run_model("O3", data=dataset)
|
|
|
16 |
|
17 |
alt.themes.enable("dark")
|
18 |
|
19 |
+
dataset = get_data()
|
|
|
20 |
today = dataset.iloc[-1]
|
21 |
previous_day = dataset.iloc[-2]
|
22 |
prediction = run_model("O3", data=dataset)
|
data_api_calls.py
CHANGED
@@ -153,7 +153,7 @@ def insert_pollution(NO2, O3, data):
|
|
153 |
while O3:
|
154 |
df.loc[start_index, 'O3'] = O3.pop()
|
155 |
start_index += 1
|
156 |
-
|
157 |
|
158 |
def weather_data():
|
159 |
today = date.today().isoformat()
|
@@ -186,5 +186,6 @@ def get_data():
|
|
186 |
NO2, O3 = clean_values()
|
187 |
df = add_columns()
|
188 |
scaled_df = scale(df)
|
189 |
-
insert_pollution(NO2, O3, scaled_df)
|
190 |
os.remove('weather_data.csv')
|
|
|
|
153 |
while O3:
|
154 |
df.loc[start_index, 'O3'] = O3.pop()
|
155 |
start_index += 1
|
156 |
+
return df
|
157 |
|
158 |
def weather_data():
|
159 |
today = date.today().isoformat()
|
|
|
186 |
NO2, O3 = clean_values()
|
187 |
df = add_columns()
|
188 |
scaled_df = scale(df)
|
189 |
+
output_df = insert_pollution(NO2, O3, scaled_df)
|
190 |
os.remove('weather_data.csv')
|
191 |
+
return output_df
|
dataset.csv
DELETED
@@ -1,9 +0,0 @@
|
|
1 |
-
date,NO2,O3,wind_speed,mean_temp,global_radiation,percipitation,pressure,minimum_visibility,humidity,weekday
|
2 |
-
2024-10-16,22.602711656441716,22.88128805620609,61,151,40,0,10103,358,82,Wednesday
|
3 |
-
2024-10-17,23.104327323162277,23.038637566137567,51,169,43,6,10100,371,86,Thursday
|
4 |
-
2024-10-18,23.68285714285714,23.71661094224924,21,156,42,39,10140,64,97,Friday
|
5 |
-
2024-10-19,24.532038834951457,23.604722719141325,43,147,43,28,10140,236,92,Saturday
|
6 |
-
2024-10-20,23.019101941747575,24.173377192982453,68,145,0,0,10160,241,82,Sunday
|
7 |
-
2024-10-21,21.275629139072848,25.05873563218391,58,144,27,43,10206,220,92,Monday
|
8 |
-
2024-10-22,22.334374999999998,24.5942194092827,76,123,57,12,10265,100,87,Tuesday
|
9 |
-
2024-10-23,24.261733333333336,23.56,31,115,7,0,10328,105,95,Wednesday
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
scalers/feature_scaler_NO2.joblib
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6281e460d3a5a83a3d6a240aa76c26e45bd15089364b88d3a26fd638536a30b5
|
3 |
+
size 5791
|
scalers/feature_scaler_O3.joblib
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d6e30fc2c7ce7a00bc1b8db08e5f4ffa110136a796f55a68beedb479b07189f7
|
3 |
+
size 5023
|
src/data_loading.py
CHANGED
@@ -130,7 +130,7 @@ def create_features(
|
|
130 |
feature_scaler = joblib.load(f"scalers/feature_scaler_{target_particle}.joblib")
|
131 |
|
132 |
# Fit the scalers on the training data
|
133 |
-
X_scaled = feature_scaler.
|
134 |
|
135 |
# Convert scaled data back to DataFrame for consistency
|
136 |
X_scaled = pd.DataFrame(
|
|
|
130 |
feature_scaler = joblib.load(f"scalers/feature_scaler_{target_particle}.joblib")
|
131 |
|
132 |
# Fit the scalers on the training data
|
133 |
+
X_scaled = feature_scaler.transform(x)
|
134 |
|
135 |
# Convert scaled data back to DataFrame for consistency
|
136 |
X_scaled = pd.DataFrame(
|
test.ipynb
ADDED
@@ -0,0 +1,694 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 1,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [
|
8 |
+
{
|
9 |
+
"name": "stderr",
|
10 |
+
"output_type": "stream",
|
11 |
+
"text": [
|
12 |
+
"/Users/mihkelmariuszjezierski/anaconda3/envs/ml-industry/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
|
13 |
+
" from .autonotebook import tqdm as notebook_tqdm\n"
|
14 |
+
]
|
15 |
+
}
|
16 |
+
],
|
17 |
+
"source": [
|
18 |
+
"from src.models_loading import run_model\n",
|
19 |
+
"from data_api_calls import get_data\n",
|
20 |
+
"import pandas as pd\n",
|
21 |
+
"from past_data_api_calls import get_past_data"
|
22 |
+
]
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"cell_type": "code",
|
26 |
+
"execution_count": 2,
|
27 |
+
"metadata": {},
|
28 |
+
"outputs": [],
|
29 |
+
"source": [
|
30 |
+
"from src.data_loading import create_features"
|
31 |
+
]
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"cell_type": "code",
|
35 |
+
"execution_count": 3,
|
36 |
+
"metadata": {},
|
37 |
+
"outputs": [],
|
38 |
+
"source": [
|
39 |
+
"df = get_data()"
|
40 |
+
]
|
41 |
+
},
|
42 |
+
{
|
43 |
+
"cell_type": "code",
|
44 |
+
"execution_count": 3,
|
45 |
+
"metadata": {},
|
46 |
+
"outputs": [],
|
47 |
+
"source": [
|
48 |
+
"data = pd.read_csv(\"dataset.csv\")\n",
|
49 |
+
"target_particle = \"O3\""
|
50 |
+
]
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"cell_type": "code",
|
54 |
+
"execution_count": 4,
|
55 |
+
"metadata": {},
|
56 |
+
"outputs": [
|
57 |
+
{
|
58 |
+
"data": {
|
59 |
+
"text/html": [
|
60 |
+
"<div>\n",
|
61 |
+
"<style scoped>\n",
|
62 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
63 |
+
" vertical-align: middle;\n",
|
64 |
+
" }\n",
|
65 |
+
"\n",
|
66 |
+
" .dataframe tbody tr th {\n",
|
67 |
+
" vertical-align: top;\n",
|
68 |
+
" }\n",
|
69 |
+
"\n",
|
70 |
+
" .dataframe thead th {\n",
|
71 |
+
" text-align: right;\n",
|
72 |
+
" }\n",
|
73 |
+
"</style>\n",
|
74 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
75 |
+
" <thead>\n",
|
76 |
+
" <tr style=\"text-align: right;\">\n",
|
77 |
+
" <th></th>\n",
|
78 |
+
" <th>date</th>\n",
|
79 |
+
" <th>NO2</th>\n",
|
80 |
+
" <th>O3</th>\n",
|
81 |
+
" <th>wind_speed</th>\n",
|
82 |
+
" <th>mean_temp</th>\n",
|
83 |
+
" <th>global_radiation</th>\n",
|
84 |
+
" <th>percipitation</th>\n",
|
85 |
+
" <th>pressure</th>\n",
|
86 |
+
" <th>minimum_visibility</th>\n",
|
87 |
+
" <th>humidity</th>\n",
|
88 |
+
" <th>weekday</th>\n",
|
89 |
+
" </tr>\n",
|
90 |
+
" </thead>\n",
|
91 |
+
" <tbody>\n",
|
92 |
+
" <tr>\n",
|
93 |
+
" <th>0</th>\n",
|
94 |
+
" <td>2024-10-16</td>\n",
|
95 |
+
" <td>22.602712</td>\n",
|
96 |
+
" <td>22.881288</td>\n",
|
97 |
+
" <td>61</td>\n",
|
98 |
+
" <td>151</td>\n",
|
99 |
+
" <td>40</td>\n",
|
100 |
+
" <td>0</td>\n",
|
101 |
+
" <td>10103</td>\n",
|
102 |
+
" <td>358</td>\n",
|
103 |
+
" <td>82</td>\n",
|
104 |
+
" <td>Wednesday</td>\n",
|
105 |
+
" </tr>\n",
|
106 |
+
" <tr>\n",
|
107 |
+
" <th>1</th>\n",
|
108 |
+
" <td>2024-10-17</td>\n",
|
109 |
+
" <td>23.104327</td>\n",
|
110 |
+
" <td>23.038638</td>\n",
|
111 |
+
" <td>51</td>\n",
|
112 |
+
" <td>169</td>\n",
|
113 |
+
" <td>43</td>\n",
|
114 |
+
" <td>6</td>\n",
|
115 |
+
" <td>10100</td>\n",
|
116 |
+
" <td>371</td>\n",
|
117 |
+
" <td>86</td>\n",
|
118 |
+
" <td>Thursday</td>\n",
|
119 |
+
" </tr>\n",
|
120 |
+
" <tr>\n",
|
121 |
+
" <th>2</th>\n",
|
122 |
+
" <td>2024-10-18</td>\n",
|
123 |
+
" <td>23.682857</td>\n",
|
124 |
+
" <td>23.716611</td>\n",
|
125 |
+
" <td>21</td>\n",
|
126 |
+
" <td>156</td>\n",
|
127 |
+
" <td>42</td>\n",
|
128 |
+
" <td>39</td>\n",
|
129 |
+
" <td>10140</td>\n",
|
130 |
+
" <td>64</td>\n",
|
131 |
+
" <td>97</td>\n",
|
132 |
+
" <td>Friday</td>\n",
|
133 |
+
" </tr>\n",
|
134 |
+
" <tr>\n",
|
135 |
+
" <th>3</th>\n",
|
136 |
+
" <td>2024-10-19</td>\n",
|
137 |
+
" <td>24.532039</td>\n",
|
138 |
+
" <td>23.604723</td>\n",
|
139 |
+
" <td>43</td>\n",
|
140 |
+
" <td>147</td>\n",
|
141 |
+
" <td>43</td>\n",
|
142 |
+
" <td>28</td>\n",
|
143 |
+
" <td>10140</td>\n",
|
144 |
+
" <td>236</td>\n",
|
145 |
+
" <td>92</td>\n",
|
146 |
+
" <td>Saturday</td>\n",
|
147 |
+
" </tr>\n",
|
148 |
+
" <tr>\n",
|
149 |
+
" <th>4</th>\n",
|
150 |
+
" <td>2024-10-20</td>\n",
|
151 |
+
" <td>23.019102</td>\n",
|
152 |
+
" <td>24.173377</td>\n",
|
153 |
+
" <td>68</td>\n",
|
154 |
+
" <td>145</td>\n",
|
155 |
+
" <td>0</td>\n",
|
156 |
+
" <td>0</td>\n",
|
157 |
+
" <td>10160</td>\n",
|
158 |
+
" <td>241</td>\n",
|
159 |
+
" <td>82</td>\n",
|
160 |
+
" <td>Sunday</td>\n",
|
161 |
+
" </tr>\n",
|
162 |
+
" <tr>\n",
|
163 |
+
" <th>5</th>\n",
|
164 |
+
" <td>2024-10-21</td>\n",
|
165 |
+
" <td>21.275629</td>\n",
|
166 |
+
" <td>25.058736</td>\n",
|
167 |
+
" <td>58</td>\n",
|
168 |
+
" <td>144</td>\n",
|
169 |
+
" <td>27</td>\n",
|
170 |
+
" <td>43</td>\n",
|
171 |
+
" <td>10206</td>\n",
|
172 |
+
" <td>220</td>\n",
|
173 |
+
" <td>92</td>\n",
|
174 |
+
" <td>Monday</td>\n",
|
175 |
+
" </tr>\n",
|
176 |
+
" <tr>\n",
|
177 |
+
" <th>6</th>\n",
|
178 |
+
" <td>2024-10-22</td>\n",
|
179 |
+
" <td>22.334375</td>\n",
|
180 |
+
" <td>24.594219</td>\n",
|
181 |
+
" <td>76</td>\n",
|
182 |
+
" <td>123</td>\n",
|
183 |
+
" <td>57</td>\n",
|
184 |
+
" <td>12</td>\n",
|
185 |
+
" <td>10265</td>\n",
|
186 |
+
" <td>100</td>\n",
|
187 |
+
" <td>87</td>\n",
|
188 |
+
" <td>Tuesday</td>\n",
|
189 |
+
" </tr>\n",
|
190 |
+
" <tr>\n",
|
191 |
+
" <th>7</th>\n",
|
192 |
+
" <td>2024-10-23</td>\n",
|
193 |
+
" <td>24.261733</td>\n",
|
194 |
+
" <td>23.560000</td>\n",
|
195 |
+
" <td>31</td>\n",
|
196 |
+
" <td>115</td>\n",
|
197 |
+
" <td>7</td>\n",
|
198 |
+
" <td>0</td>\n",
|
199 |
+
" <td>10328</td>\n",
|
200 |
+
" <td>105</td>\n",
|
201 |
+
" <td>95</td>\n",
|
202 |
+
" <td>Wednesday</td>\n",
|
203 |
+
" </tr>\n",
|
204 |
+
" </tbody>\n",
|
205 |
+
"</table>\n",
|
206 |
+
"</div>"
|
207 |
+
],
|
208 |
+
"text/plain": [
|
209 |
+
" date NO2 O3 wind_speed mean_temp global_radiation \\\n",
|
210 |
+
"0 2024-10-16 22.602712 22.881288 61 151 40 \n",
|
211 |
+
"1 2024-10-17 23.104327 23.038638 51 169 43 \n",
|
212 |
+
"2 2024-10-18 23.682857 23.716611 21 156 42 \n",
|
213 |
+
"3 2024-10-19 24.532039 23.604723 43 147 43 \n",
|
214 |
+
"4 2024-10-20 23.019102 24.173377 68 145 0 \n",
|
215 |
+
"5 2024-10-21 21.275629 25.058736 58 144 27 \n",
|
216 |
+
"6 2024-10-22 22.334375 24.594219 76 123 57 \n",
|
217 |
+
"7 2024-10-23 24.261733 23.560000 31 115 7 \n",
|
218 |
+
"\n",
|
219 |
+
" percipitation pressure minimum_visibility humidity weekday \n",
|
220 |
+
"0 0 10103 358 82 Wednesday \n",
|
221 |
+
"1 6 10100 371 86 Thursday \n",
|
222 |
+
"2 39 10140 64 97 Friday \n",
|
223 |
+
"3 28 10140 236 92 Saturday \n",
|
224 |
+
"4 0 10160 241 82 Sunday \n",
|
225 |
+
"5 43 10206 220 92 Monday \n",
|
226 |
+
"6 12 10265 100 87 Tuesday \n",
|
227 |
+
"7 0 10328 105 95 Wednesday "
|
228 |
+
]
|
229 |
+
},
|
230 |
+
"execution_count": 4,
|
231 |
+
"metadata": {},
|
232 |
+
"output_type": "execute_result"
|
233 |
+
}
|
234 |
+
],
|
235 |
+
"source": [
|
236 |
+
"data"
|
237 |
+
]
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"cell_type": "code",
|
241 |
+
"execution_count": 5,
|
242 |
+
"metadata": {},
|
243 |
+
"outputs": [
|
244 |
+
{
|
245 |
+
"name": "stdout",
|
246 |
+
"output_type": "stream",
|
247 |
+
"text": [
|
248 |
+
"Number of rows with missing values dropped: 7\n"
|
249 |
+
]
|
250 |
+
}
|
251 |
+
],
|
252 |
+
"source": [
|
253 |
+
"input_data = create_features(\n",
|
254 |
+
" data=data,\n",
|
255 |
+
" target_particle=target_particle,\n",
|
256 |
+
" lag_days=7,\n",
|
257 |
+
" sma_days=7,\n",
|
258 |
+
")"
|
259 |
+
]
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"cell_type": "code",
|
263 |
+
"execution_count": 6,
|
264 |
+
"metadata": {},
|
265 |
+
"outputs": [
|
266 |
+
{
|
267 |
+
"data": {
|
268 |
+
"text/html": [
|
269 |
+
"<div>\n",
|
270 |
+
"<style scoped>\n",
|
271 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
272 |
+
" vertical-align: middle;\n",
|
273 |
+
" }\n",
|
274 |
+
"\n",
|
275 |
+
" .dataframe tbody tr th {\n",
|
276 |
+
" vertical-align: top;\n",
|
277 |
+
" }\n",
|
278 |
+
"\n",
|
279 |
+
" .dataframe thead th {\n",
|
280 |
+
" text-align: right;\n",
|
281 |
+
" }\n",
|
282 |
+
"</style>\n",
|
283 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
284 |
+
" <thead>\n",
|
285 |
+
" <tr style=\"text-align: right;\">\n",
|
286 |
+
" <th></th>\n",
|
287 |
+
" <th>NO2</th>\n",
|
288 |
+
" <th>O3</th>\n",
|
289 |
+
" <th>wind_speed</th>\n",
|
290 |
+
" <th>mean_temp</th>\n",
|
291 |
+
" <th>global_radiation</th>\n",
|
292 |
+
" <th>percipitation</th>\n",
|
293 |
+
" <th>pressure</th>\n",
|
294 |
+
" <th>minimum_visibility</th>\n",
|
295 |
+
" <th>humidity</th>\n",
|
296 |
+
" <th>weekday_sin</th>\n",
|
297 |
+
" <th>...</th>\n",
|
298 |
+
" <th>O3_last_year_4_days_before</th>\n",
|
299 |
+
" <th>NO2_last_year_4_days_before</th>\n",
|
300 |
+
" <th>O3_last_year_5_days_before</th>\n",
|
301 |
+
" <th>NO2_last_year_5_days_before</th>\n",
|
302 |
+
" <th>O3_last_year_6_days_before</th>\n",
|
303 |
+
" <th>NO2_last_year_6_days_before</th>\n",
|
304 |
+
" <th>O3_last_year_7_days_before</th>\n",
|
305 |
+
" <th>NO2_last_year_7_days_before</th>\n",
|
306 |
+
" <th>O3_last_year_3_days_after</th>\n",
|
307 |
+
" <th>NO2_last_year_3_days_after</th>\n",
|
308 |
+
" </tr>\n",
|
309 |
+
" </thead>\n",
|
310 |
+
" <tbody>\n",
|
311 |
+
" <tr>\n",
|
312 |
+
" <th>0</th>\n",
|
313 |
+
" <td>-0.126371</td>\n",
|
314 |
+
" <td>-0.855455</td>\n",
|
315 |
+
" <td>-0.206181</td>\n",
|
316 |
+
" <td>0.082314</td>\n",
|
317 |
+
" <td>-1.330268</td>\n",
|
318 |
+
" <td>-0.493936</td>\n",
|
319 |
+
" <td>1.783274</td>\n",
|
320 |
+
" <td>2.813837</td>\n",
|
321 |
+
" <td>1.547919</td>\n",
|
322 |
+
" <td>1.37753</td>\n",
|
323 |
+
" <td>...</td>\n",
|
324 |
+
" <td>-1.036205</td>\n",
|
325 |
+
" <td>-0.802392</td>\n",
|
326 |
+
" <td>-0.883032</td>\n",
|
327 |
+
" <td>-0.968984</td>\n",
|
328 |
+
" <td>0.333776</td>\n",
|
329 |
+
" <td>-1.446199</td>\n",
|
330 |
+
" <td>-1.180992</td>\n",
|
331 |
+
" <td>-0.54567</td>\n",
|
332 |
+
" <td>-1.15814</td>\n",
|
333 |
+
" <td>-0.358079</td>\n",
|
334 |
+
" </tr>\n",
|
335 |
+
" </tbody>\n",
|
336 |
+
"</table>\n",
|
337 |
+
"<p>1 rows × 87 columns</p>\n",
|
338 |
+
"</div>"
|
339 |
+
],
|
340 |
+
"text/plain": [
|
341 |
+
" NO2 O3 wind_speed mean_temp global_radiation percipitation \\\n",
|
342 |
+
"0 -0.126371 -0.855455 -0.206181 0.082314 -1.330268 -0.493936 \n",
|
343 |
+
"\n",
|
344 |
+
" pressure minimum_visibility humidity weekday_sin ... \\\n",
|
345 |
+
"0 1.783274 2.813837 1.547919 1.37753 ... \n",
|
346 |
+
"\n",
|
347 |
+
" O3_last_year_4_days_before NO2_last_year_4_days_before \\\n",
|
348 |
+
"0 -1.036205 -0.802392 \n",
|
349 |
+
"\n",
|
350 |
+
" O3_last_year_5_days_before NO2_last_year_5_days_before \\\n",
|
351 |
+
"0 -0.883032 -0.968984 \n",
|
352 |
+
"\n",
|
353 |
+
" O3_last_year_6_days_before NO2_last_year_6_days_before \\\n",
|
354 |
+
"0 0.333776 -1.446199 \n",
|
355 |
+
"\n",
|
356 |
+
" O3_last_year_7_days_before NO2_last_year_7_days_before \\\n",
|
357 |
+
"0 -1.180992 -0.54567 \n",
|
358 |
+
"\n",
|
359 |
+
" O3_last_year_3_days_after NO2_last_year_3_days_after \n",
|
360 |
+
"0 -1.15814 -0.358079 \n",
|
361 |
+
"\n",
|
362 |
+
"[1 rows x 87 columns]"
|
363 |
+
]
|
364 |
+
},
|
365 |
+
"execution_count": 6,
|
366 |
+
"metadata": {},
|
367 |
+
"output_type": "execute_result"
|
368 |
+
}
|
369 |
+
],
|
370 |
+
"source": [
|
371 |
+
"input_data"
|
372 |
+
]
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"cell_type": "code",
|
376 |
+
"execution_count": null,
|
377 |
+
"metadata": {},
|
378 |
+
"outputs": [],
|
379 |
+
"source": [
|
380 |
+
"#prediction = run_model(particle=\"O3\", data=df)"
|
381 |
+
]
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"cell_type": "code",
|
385 |
+
"execution_count": 9,
|
386 |
+
"metadata": {},
|
387 |
+
"outputs": [
|
388 |
+
{
|
389 |
+
"data": {
|
390 |
+
"text/html": [
|
391 |
+
"<div>\n",
|
392 |
+
"<style scoped>\n",
|
393 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
394 |
+
" vertical-align: middle;\n",
|
395 |
+
" }\n",
|
396 |
+
"\n",
|
397 |
+
" .dataframe tbody tr th {\n",
|
398 |
+
" vertical-align: top;\n",
|
399 |
+
" }\n",
|
400 |
+
"\n",
|
401 |
+
" .dataframe thead th {\n",
|
402 |
+
" text-align: right;\n",
|
403 |
+
" }\n",
|
404 |
+
"</style>\n",
|
405 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
406 |
+
" <thead>\n",
|
407 |
+
" <tr style=\"text-align: right;\">\n",
|
408 |
+
" <th></th>\n",
|
409 |
+
" <th>date</th>\n",
|
410 |
+
" <th>NO2</th>\n",
|
411 |
+
" <th>O3</th>\n",
|
412 |
+
" <th>wind_speed</th>\n",
|
413 |
+
" <th>mean_temp</th>\n",
|
414 |
+
" <th>global_radiation</th>\n",
|
415 |
+
" <th>percipitation</th>\n",
|
416 |
+
" <th>pressure</th>\n",
|
417 |
+
" <th>minimum_visibility</th>\n",
|
418 |
+
" <th>humidity</th>\n",
|
419 |
+
" <th>weekday</th>\n",
|
420 |
+
" </tr>\n",
|
421 |
+
" </thead>\n",
|
422 |
+
" <tbody>\n",
|
423 |
+
" <tr>\n",
|
424 |
+
" <th>0</th>\n",
|
425 |
+
" <td>2023-10-16</td>\n",
|
426 |
+
" <td>17.958784</td>\n",
|
427 |
+
" <td>32.611400</td>\n",
|
428 |
+
" <td>31</td>\n",
|
429 |
+
" <td>90</td>\n",
|
430 |
+
" <td>68</td>\n",
|
431 |
+
" <td>9</td>\n",
|
432 |
+
" <td>1022</td>\n",
|
433 |
+
" <td>348</td>\n",
|
434 |
+
" <td>88</td>\n",
|
435 |
+
" <td>Monday</td>\n",
|
436 |
+
" </tr>\n",
|
437 |
+
" <tr>\n",
|
438 |
+
" <th>1</th>\n",
|
439 |
+
" <td>2023-10-17</td>\n",
|
440 |
+
" <td>10.842703</td>\n",
|
441 |
+
" <td>39.812600</td>\n",
|
442 |
+
" <td>61</td>\n",
|
443 |
+
" <td>85</td>\n",
|
444 |
+
" <td>75</td>\n",
|
445 |
+
" <td>0</td>\n",
|
446 |
+
" <td>1019</td>\n",
|
447 |
+
" <td>348</td>\n",
|
448 |
+
" <td>84</td>\n",
|
449 |
+
" <td>Tuesday</td>\n",
|
450 |
+
" </tr>\n",
|
451 |
+
" <tr>\n",
|
452 |
+
" <th>2</th>\n",
|
453 |
+
" <td>2023-10-18</td>\n",
|
454 |
+
" <td>17.970267</td>\n",
|
455 |
+
" <td>31.779024</td>\n",
|
456 |
+
" <td>71</td>\n",
|
457 |
+
" <td>90</td>\n",
|
458 |
+
" <td>71</td>\n",
|
459 |
+
" <td>23</td>\n",
|
460 |
+
" <td>1006</td>\n",
|
461 |
+
" <td>238</td>\n",
|
462 |
+
" <td>77</td>\n",
|
463 |
+
" <td>Wednesday</td>\n",
|
464 |
+
" </tr>\n",
|
465 |
+
" <tr>\n",
|
466 |
+
" <th>3</th>\n",
|
467 |
+
" <td>2023-10-19</td>\n",
|
468 |
+
" <td>17.233056</td>\n",
|
469 |
+
" <td>18.715600</td>\n",
|
470 |
+
" <td>61</td>\n",
|
471 |
+
" <td>145</td>\n",
|
472 |
+
" <td>39</td>\n",
|
473 |
+
" <td>114</td>\n",
|
474 |
+
" <td>990</td>\n",
|
475 |
+
" <td>212</td>\n",
|
476 |
+
" <td>94</td>\n",
|
477 |
+
" <td>Thursday</td>\n",
|
478 |
+
" </tr>\n",
|
479 |
+
" <tr>\n",
|
480 |
+
" <th>4</th>\n",
|
481 |
+
" <td>2023-10-20</td>\n",
|
482 |
+
" <td>15.023600</td>\n",
|
483 |
+
" <td>22.040000</td>\n",
|
484 |
+
" <td>71</td>\n",
|
485 |
+
" <td>119</td>\n",
|
486 |
+
" <td>7</td>\n",
|
487 |
+
" <td>204</td>\n",
|
488 |
+
" <td>981</td>\n",
|
489 |
+
" <td>104</td>\n",
|
490 |
+
" <td>97</td>\n",
|
491 |
+
" <td>Friday</td>\n",
|
492 |
+
" </tr>\n",
|
493 |
+
" <tr>\n",
|
494 |
+
" <th>5</th>\n",
|
495 |
+
" <td>2023-10-21</td>\n",
|
496 |
+
" <td>8.723378</td>\n",
|
497 |
+
" <td>48.334400</td>\n",
|
498 |
+
" <td>61</td>\n",
|
499 |
+
" <td>131</td>\n",
|
500 |
+
" <td>39</td>\n",
|
501 |
+
" <td>35</td>\n",
|
502 |
+
" <td>989</td>\n",
|
503 |
+
" <td>277</td>\n",
|
504 |
+
" <td>88</td>\n",
|
505 |
+
" <td>Saturday</td>\n",
|
506 |
+
" </tr>\n",
|
507 |
+
" <tr>\n",
|
508 |
+
" <th>6</th>\n",
|
509 |
+
" <td>2023-10-22</td>\n",
|
510 |
+
" <td>20.634267</td>\n",
|
511 |
+
" <td>15.586000</td>\n",
|
512 |
+
" <td>71</td>\n",
|
513 |
+
" <td>121</td>\n",
|
514 |
+
" <td>55</td>\n",
|
515 |
+
" <td>39</td>\n",
|
516 |
+
" <td>1003</td>\n",
|
517 |
+
" <td>323</td>\n",
|
518 |
+
" <td>87</td>\n",
|
519 |
+
" <td>Sunday</td>\n",
|
520 |
+
" </tr>\n",
|
521 |
+
" <tr>\n",
|
522 |
+
" <th>7</th>\n",
|
523 |
+
" <td>2023-10-23</td>\n",
|
524 |
+
" <td>15.115600</td>\n",
|
525 |
+
" <td>24.628085</td>\n",
|
526 |
+
" <td>50</td>\n",
|
527 |
+
" <td>99</td>\n",
|
528 |
+
" <td>43</td>\n",
|
529 |
+
" <td>5</td>\n",
|
530 |
+
" <td>1011</td>\n",
|
531 |
+
" <td>59</td>\n",
|
532 |
+
" <td>95</td>\n",
|
533 |
+
" <td>Monday</td>\n",
|
534 |
+
" </tr>\n",
|
535 |
+
" <tr>\n",
|
536 |
+
" <th>8</th>\n",
|
537 |
+
" <td>2023-10-24</td>\n",
|
538 |
+
" <td>22.885676</td>\n",
|
539 |
+
" <td>27.117600</td>\n",
|
540 |
+
" <td>61</td>\n",
|
541 |
+
" <td>116</td>\n",
|
542 |
+
" <td>32</td>\n",
|
543 |
+
" <td>65</td>\n",
|
544 |
+
" <td>1001</td>\n",
|
545 |
+
" <td>231</td>\n",
|
546 |
+
" <td>92</td>\n",
|
547 |
+
" <td>Tuesday</td>\n",
|
548 |
+
" </tr>\n",
|
549 |
+
" <tr>\n",
|
550 |
+
" <th>9</th>\n",
|
551 |
+
" <td>2023-10-25</td>\n",
|
552 |
+
" <td>21.531757</td>\n",
|
553 |
+
" <td>13.321600</td>\n",
|
554 |
+
" <td>50</td>\n",
|
555 |
+
" <td>93</td>\n",
|
556 |
+
" <td>14</td>\n",
|
557 |
+
" <td>153</td>\n",
|
558 |
+
" <td>996</td>\n",
|
559 |
+
" <td>157</td>\n",
|
560 |
+
" <td>96</td>\n",
|
561 |
+
" <td>Wednesday</td>\n",
|
562 |
+
" </tr>\n",
|
563 |
+
" <tr>\n",
|
564 |
+
" <th>10</th>\n",
|
565 |
+
" <td>2023-10-26</td>\n",
|
566 |
+
" <td>23.072267</td>\n",
|
567 |
+
" <td>16.154167</td>\n",
|
568 |
+
" <td>31</td>\n",
|
569 |
+
" <td>94</td>\n",
|
570 |
+
" <td>36</td>\n",
|
571 |
+
" <td>1</td>\n",
|
572 |
+
" <td>995</td>\n",
|
573 |
+
" <td>48</td>\n",
|
574 |
+
" <td>97</td>\n",
|
575 |
+
" <td>Thursday</td>\n",
|
576 |
+
" </tr>\n",
|
577 |
+
" </tbody>\n",
|
578 |
+
"</table>\n",
|
579 |
+
"</div>"
|
580 |
+
],
|
581 |
+
"text/plain": [
|
582 |
+
" date NO2 O3 wind_speed mean_temp global_radiation \\\n",
|
583 |
+
"0 2023-10-16 17.958784 32.611400 31 90 68 \n",
|
584 |
+
"1 2023-10-17 10.842703 39.812600 61 85 75 \n",
|
585 |
+
"2 2023-10-18 17.970267 31.779024 71 90 71 \n",
|
586 |
+
"3 2023-10-19 17.233056 18.715600 61 145 39 \n",
|
587 |
+
"4 2023-10-20 15.023600 22.040000 71 119 7 \n",
|
588 |
+
"5 2023-10-21 8.723378 48.334400 61 131 39 \n",
|
589 |
+
"6 2023-10-22 20.634267 15.586000 71 121 55 \n",
|
590 |
+
"7 2023-10-23 15.115600 24.628085 50 99 43 \n",
|
591 |
+
"8 2023-10-24 22.885676 27.117600 61 116 32 \n",
|
592 |
+
"9 2023-10-25 21.531757 13.321600 50 93 14 \n",
|
593 |
+
"10 2023-10-26 23.072267 16.154167 31 94 36 \n",
|
594 |
+
"\n",
|
595 |
+
" percipitation pressure minimum_visibility humidity weekday \n",
|
596 |
+
"0 9 1022 348 88 Monday \n",
|
597 |
+
"1 0 1019 348 84 Tuesday \n",
|
598 |
+
"2 23 1006 238 77 Wednesday \n",
|
599 |
+
"3 114 990 212 94 Thursday \n",
|
600 |
+
"4 204 981 104 97 Friday \n",
|
601 |
+
"5 35 989 277 88 Saturday \n",
|
602 |
+
"6 39 1003 323 87 Sunday \n",
|
603 |
+
"7 5 1011 59 95 Monday \n",
|
604 |
+
"8 65 1001 231 92 Tuesday \n",
|
605 |
+
"9 153 996 157 96 Wednesday \n",
|
606 |
+
"10 1 995 48 97 Thursday "
|
607 |
+
]
|
608 |
+
},
|
609 |
+
"execution_count": 9,
|
610 |
+
"metadata": {},
|
611 |
+
"output_type": "execute_result"
|
612 |
+
}
|
613 |
+
],
|
614 |
+
"source": [
|
615 |
+
"get_past_data()"
|
616 |
+
]
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"cell_type": "code",
|
620 |
+
"execution_count": 9,
|
621 |
+
"metadata": {},
|
622 |
+
"outputs": [
|
623 |
+
{
|
624 |
+
"name": "stderr",
|
625 |
+
"output_type": "stream",
|
626 |
+
"text": [
|
627 |
+
"2024-10-23 19:40:20.321 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
|
628 |
+
"2024-10-23 19:40:20.322 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
|
629 |
+
"2024-10-23 19:40:20.323 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
|
630 |
+
]
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"name": "stdout",
|
634 |
+
"output_type": "stream",
|
635 |
+
"text": [
|
636 |
+
"Number of rows with missing values dropped: 7\n"
|
637 |
+
]
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"name": "stderr",
|
641 |
+
"output_type": "stream",
|
642 |
+
"text": [
|
643 |
+
"2024-10-23 19:40:34.183 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
|
644 |
+
"2024-10-23 19:40:34.184 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n"
|
645 |
+
]
|
646 |
+
}
|
647 |
+
],
|
648 |
+
"source": [
|
649 |
+
"prediction=run_model(particle=target_particle, data=data)"
|
650 |
+
]
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"cell_type": "code",
|
654 |
+
"execution_count": 10,
|
655 |
+
"metadata": {},
|
656 |
+
"outputs": [
|
657 |
+
{
|
658 |
+
"data": {
|
659 |
+
"text/plain": [
|
660 |
+
"array([[19.90814701, 8.8039613 , 26.57711386]])"
|
661 |
+
]
|
662 |
+
},
|
663 |
+
"execution_count": 10,
|
664 |
+
"metadata": {},
|
665 |
+
"output_type": "execute_result"
|
666 |
+
}
|
667 |
+
],
|
668 |
+
"source": [
|
669 |
+
"prediction"
|
670 |
+
]
|
671 |
+
}
|
672 |
+
],
|
673 |
+
"metadata": {
|
674 |
+
"kernelspec": {
|
675 |
+
"display_name": "ml-industry",
|
676 |
+
"language": "python",
|
677 |
+
"name": "python3"
|
678 |
+
},
|
679 |
+
"language_info": {
|
680 |
+
"codemirror_mode": {
|
681 |
+
"name": "ipython",
|
682 |
+
"version": 3
|
683 |
+
},
|
684 |
+
"file_extension": ".py",
|
685 |
+
"mimetype": "text/x-python",
|
686 |
+
"name": "python",
|
687 |
+
"nbconvert_exporter": "python",
|
688 |
+
"pygments_lexer": "ipython3",
|
689 |
+
"version": "3.12.5"
|
690 |
+
}
|
691 |
+
},
|
692 |
+
"nbformat": 4,
|
693 |
+
"nbformat_minor": 2
|
694 |
+
}
|
test.py
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
from models_loading import run_model
|
2 |
+
|
3 |
+
|