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Author SHA1 Message Date
Shino
7a4de947c6 WHOOPS 2025-12-16 16:58:37 -01:00
1 changed files with 1 additions and 2 deletions
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earthquakes.py
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@@ -8,7 +8,6 @@ from datetime import datetime
from typing import Any from typing import Any
import pandas as pd import pandas as pd
from utils import crud, filters, parser, stats, utils, visuals from utils import crud, filters, parser, stats, utils, visuals
HEADER = """=== Terramotos ===""" HEADER = """=== Terramotos ==="""
@@ -295,7 +294,7 @@ def _prettify_event(df: pd.DataFrame) -> None:
# preambleInfo = df.drop_duplicates(subset="ID", keep="first") # preambleInfo = df.drop_duplicates(subset="ID", keep="first")
# stations = df[["Estacao", "Componente", "Tipo Onda", "Amplitude"]] # stations = df[["Estacao", "Componente", "Tipo Onda", "Amplitude"]]
info = df.drop_duplicates(subset="Data", keep="first") info = df.drop_duplicates(subset="Data", keep="first")
data = datetime.fromisoformat(info.Data.values[0]).strftime("%c") data = pd.to_datetime(info.Data.values[0]).isoformat()
print( print(
f"Região: {info['Regiao'].values[0]}\nData: {data}\nLatitude: {info['Latitude'].values[0]}\nLongitude: {info['Longitude'].values[0]}" f"Região: {info['Regiao'].values[0]}\nData: {data}\nLatitude: {info['Latitude'].values[0]}\nLongitude: {info['Longitude'].values[0]}"
+ f"\nProfundidade: {info['Profundidade'].values[0]}\nTipo de evento: {info['Tipo Evento'].values[0]}\n" + f"\nProfundidade: {info['Profundidade'].values[0]}\nTipo de evento: {info['Tipo Evento'].values[0]}\n"