🌎 Analyze earthquake
- https://www.youtube.com/watch?v=42ZAVJRFLP8&ab_channel=IRISEarthquakeScience
- https://github.com/yanndebray/matlab-with-python-book
- https://www.mathworks.com/videos/large-data-in-matlab-a-seismic-data-processing-case-study-81792.html
- https://www.mathworks.com/help/matlab/matlab_prog/loma-prieta-earthquake.html
setupWarning: Name is nonexistent or not a directory: /MATLAB Drive/earthquake/pip
Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: requests in /home/matlab/.local/lib/python3.10/site-packages (2.31.0)
Requirement already satisfied: pandas in /home/matlab/.local/lib/python3.10/site-packages (2.2.1)
Requirement already satisfied: charset-normalizer<4,>=2 in /home/matlab/.local/lib/python3.10/site-packages (from requests) (3.3.2)
Requirement already satisfied: idna<4,>=2.5 in /home/matlab/.local/lib/python3.10/site-packages (from requests) (3.6)
Requirement already satisfied: urllib3<3,>=1.21.1 in /home/matlab/.local/lib/python3.10/site-packages (from requests) (2.2.1)
Requirement already satisfied: certifi>=2017.4.17 in /home/matlab/.local/lib/python3.10/site-packages (from requests) (2024.2.2)
Requirement already satisfied: numpy<2,>=1.22.4 in /home/matlab/.local/lib/python3.10/site-packages (from pandas) (1.26.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /home/matlab/.local/lib/python3.10/site-packages (from pandas) (2.9.0.post0)
Requirement already satisfied: pytz>=2020.1 in /home/matlab/.local/lib/python3.10/site-packages (from pandas) (2024.1)
Requirement already satisfied: tzdata>=2022.7 in /home/matlab/.local/lib/python3.10/site-packages (from pandas) (2024.1)
Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)
piplistPackage Version
------------------- -------------
apparmor 3.0.4
blinker 1.4
certifi 2024.2.2
charset-normalizer 3.3.2
cryptography 3.4.8
dbus-python 1.2.18
distro 1.7.0
distro-info 1.1+ubuntu0.2
httplib2 0.20.2
idna 3.6
importlib-metadata 4.6.4
jeepney 0.7.1
keyring 23.5.0
launchpadlib 1.10.16
lazr.restfulclient 0.14.4
lazr.uri 1.0.6
LibAppArmor 3.0.4
more-itertools 8.10.0
numpy 1.26.4
oauthlib 3.2.0
pandas 2.2.1
PyGObject 3.42.1
PyJWT 2.3.0
pyparsing 2.4.7
python-apt 2.4.0+ubuntu3
python-dateutil 2.9.0.post0
pytz 2024.1
PyYAML 5.4.1
requests 2.31.0
SecretStorage 3.3.1
six 1.16.0
systemd-python 234
tzdata 2024.1
unattended-upgrades 0.1
urllib3 2.2.1
wadllib 1.3.6
zipp 1.0.0
% Python code input
pycode2 = [...
"import requests",...
"import pandas as pd",...
"",...
"# Function to fetch earthquake data from USGS API",...
"def fetch_earthquake_data(start_date, end_date):",...
" url = f""https://earthquake.usgs.gov/fdsnws/event/1/query?format=geojson&starttime={start_date}&endtime={end_date}&minmagnitude=4""",...
" response = requests.get(url)",...
" data = response.json()",...
" return data['features']",...
"",...
"# Example: Analyzing earthquake data from April 2024",...
"start_date = ""2024-04-01""",...
"end_date = ""2024-04-05""",...
"earthquake_data = fetch_earthquake_data(start_date, end_date)",...
"",...
"# Convert data to DataFrame for easier manipulation",...
"earthquake_df = pd.DataFrame(earthquake_data)",...
"",...
"# Extracting relevant information",...
"earthquake_df['magnitude'] = earthquake_df['properties'].apply(lambda x: x['mag'])",...
"earthquake_df['location'] = earthquake_df['properties'].apply(lambda x: x['place'])",...
"# earthquake_df['time'] = earthquake_df['properties'].apply(lambda x: x['time']) # Unix timestamp",...
"earthquake_df['time'] = pd.to_datetime(earthquake_df['properties'].apply(lambda x: x['time']), unit='ms') # Convert to datetime",...
"",...
"# Convert geometry to separate columns",...
"earthquake_df['longitude'] = earthquake_df['geometry'].apply(lambda x: x['coordinates'][0])",...
"earthquake_df['latitude'] = earthquake_df['geometry'].apply(lambda x: x['coordinates'][1])",...
"earthquake_df['depth'] = earthquake_df['geometry'].apply(lambda x: x['coordinates'][2])"...
];
[start_date, end_date, earthquake_data, earthquake_df] = pyrun(pycode2, ...
[ "start_date" "end_date" "earthquake_data" "earthquake_df" ])start_date =
Python str with no properties.
2024-04-01
end_date =
Python str with no properties.
2024-04-05
earthquake_data =
Python list with values:
earthquake_df =
Python DataFrame with properties:
T: [1x1 py.pandas.core.frame.DataFrame]
at: [1x1 py.pandas.core.indexing._AtIndexer]
attrs: [1x1 py.dict]
axes: [1x2 py.list]
columns: [1x1 py.pandas.core.indexes.base.Index]
dtypes: [1x1 py.pandas.core.series.Series]
empty: 0
flags: [1x1 py.pandas.core.flags.Flags]
iat: [1x1 py.pandas.core.indexing._iAtIndexer]
iloc: [1x1 py.pandas.core.indexing._iLocIndexer]
index: [1x1 py.pandas.core.indexes.range.RangeIndex]
loc: [1x1 py.pandas.core.indexing._LocIndexer]
ndim: [1x1 py.int]
shape: [1x2 py.tuple]
size: [1x1 py.int]
values: [1x1 py.numpy.ndarray]
type ... depth
0 Feature ... 10.000
1 Feature ... 10.000
2 Feature ... 10.000
3 Feature ... 10.000
4 Feature ... 10.000
.. ... ... ...
112 Feature ... 57.800
113 Feature ... 112.480
114 Feature ... 134.902
115 Feature ... 10.000
116 Feature ... 149.740
[117 rows x 10 columns]
% Clean up
clear pycode2;T = table(earthquake_df);
T = removevars(T,{'type','geometry','properties'})| id | magnitude | location | time | longitude | latitude | depth | |
|---|---|---|---|---|---|---|---|
| 1 | "us7000m9zx" | 5.1000 | "central Mid-Atlantic Ridge" | 04-Apr-2024 23:46:41 | -38.1466 | 7.9214 | 10 |
| 2 | "us7000m9zu" | 5 | "central Mid-Atlantic Ridge" | 04-Apr-2024 23:43:54 | -38.1232 | 7.8883 | 10 |
| 3 | "us7000m9zr" | 5.2000 | "central Mid-Atlantic Ridge" | 04-Apr-2024 23:37:29 | -38.1518 | 7.9378 | 10 |
| 4 | "us7000m9zn" | 5 | "central Mid-Atlantic Ridge" | 04-Apr-2024 23:18:24 | -38.2188 | 8.0644 | 10 |
| 5 | "us7000m9zm" | 5 | "central Mid-Atlantic Ridge" | 04-Apr-2024 23:16:56 | -38.0892 | 7.9724 | 10 |
| 6 | "us7000m9z0" | 5 | "35 km SW of Urakawa, Japan" | 04-Apr-2024 20:31:49 | 142.4691 | 41.9425 | 62.9880 |
| 7 | "us7000m9yq" | 4.4000 | "72 km SW of Unalaska, Alaska" | 04-Apr-2024 19:57:02 | -167.3555 | 53.4389 | 89.7760 |
| 8 | "us7000m9yk" | 4.9000 | "Mariana Islands region" | 04-Apr-2024 19:29:07 | 145.6787 | 21.0849 | 35 |
| 9 | "us7000m9yf" | 4.5000 | "47 km NE of Hualien City, Taiwan" | 04-Apr-2024 18:42:36 | 121.9331 | 24.2815 | 21.0220 |
| 10 | "us7000m9yb" | 4.9000 | "21 km NNE of Hualien City, Taiwan" | 04-Apr-2024 18:35:02 | 121.6902 | 24.1565 | 36.6620 |
| 11 | "us7000m9y8" | 4.7000 | "134 km NW of Ternate, Indonesia" | 04-Apr-2024 18:29:27 | 126.4129 | 1.5168 | 54.4810 |
| 12 | "us7000m9xz" | 4.4000 | "32 km NNE of Hualien City, Taiwan" | 04-Apr-2024 17:24:51 | 121.7473 | 24.2376 | 20.7550 |
| 13 | "us7000m9w5" | 5.2000 | "34 km S of Padam, India" | 04-Apr-2024 16:04:31 | 76.8274 | 33.1567 | 21.3350 |
| 14 | "us7000m9vn" | 4.9000 | "33 km NNE of Hualien City, Taiwan" | 04-Apr-2024 14:30:06 | 121.7875 | 24.2289 | 17.5820 |
head(T) id magnitude location time longitude latitude depth
____________ _________ ______________________________ ____________________ _________ ________ ______
"us7000m9zx" 5.1 "central Mid-Atlantic Ridge" 04-Apr-2024 23:46:41 -38.147 7.9214 10
"us7000m9zu" 5 "central Mid-Atlantic Ridge" 04-Apr-2024 23:43:54 -38.123 7.8883 10
"us7000m9zr" 5.2 "central Mid-Atlantic Ridge" 04-Apr-2024 23:37:29 -38.152 7.9378 10
"us7000m9zn" 5 "central Mid-Atlantic Ridge" 04-Apr-2024 23:18:24 -38.219 8.0644 10
"us7000m9zm" 5 "central Mid-Atlantic Ridge" 04-Apr-2024 23:16:56 -38.089 7.9724 10
"us7000m9z0" 5 "35 km SW of Urakawa, Japan" 04-Apr-2024 20:31:49 142.47 41.943 62.988
"us7000m9yq" 4.4 "72 km SW of Unalaska, Alaska" 04-Apr-2024 19:57:02 -167.36 53.439 89.776
"us7000m9yk" 4.9 "Mariana Islands region" 04-Apr-2024 19:29:07 145.68 21.085 35
unique(T.location)ans = 104x1 string
"10 km ESE of Hualien City, Ta…
"10 km SSW of Hualien City, Ta…
"103 km SSW of Uyuni, Bolivia"
"108 km N of Paciran, Indonesia"
"11 km E of Hualien City, Taiwan"
"11 km N of Yopal, Colombia"
"11 km NE of Hualien City, Tai…
"114 km SSE of Kuril’sk, Russia"
"117 km NE of Kendari, Indonesia"
"117 km WNW of Puerto, Chile"
filtered_data = T(T.magnitude >= 4 & T.magnitude <= 5, :);
head(filtered_data) id magnitude location time longitude latitude depth
____________ _________ ___________________________________ ____________________ _________ ________ ______
"us7000m9zu" 5 "central Mid-Atlantic Ridge" 04-Apr-2024 23:43:54 -38.123 7.8883 10
"us7000m9zn" 5 "central Mid-Atlantic Ridge" 04-Apr-2024 23:18:24 -38.219 8.0644 10
"us7000m9zm" 5 "central Mid-Atlantic Ridge" 04-Apr-2024 23:16:56 -38.089 7.9724 10
"us7000m9z0" 5 "35 km SW of Urakawa, Japan" 04-Apr-2024 20:31:49 142.47 41.943 62.988
"us7000m9yq" 4.4 "72 km SW of Unalaska, Alaska" 04-Apr-2024 19:57:02 -167.36 53.439 89.776
"us7000m9yk" 4.9 "Mariana Islands region" 04-Apr-2024 19:29:07 145.68 21.085 35
"us7000m9yf" 4.5 "47 km NE of Hualien City, Taiwan" 04-Apr-2024 18:42:36 121.93 24.282 21.022
"us7000m9yb" 4.9 "21 km NNE of Hualien City, Taiwan" 04-Apr-2024 18:35:02 121.69 24.157 36.662
geoscatter(T.latitude,T.longitude,T.magnitude,"filled")
export('livescript.mlx','README.md');
export('livescript.mlx','notebook.ipynb');
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