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7841ce0
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Parent(s):
ecccc1e
chore: type hints
Browse files- src/dataset/data_requests.py +3 -3
- src/dataset/fake_data.py +4 -3
src/dataset/data_requests.py
CHANGED
@@ -18,7 +18,7 @@ def data_prep() -> pd.DataFrame:
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df = clean_date(df)
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return df
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-
def filter_data(df) -> pd.DataFrame:
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"""
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Filter the DataFrame based on user-selected ranges for latitude, longitude, and date.
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Args:
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@@ -36,7 +36,7 @@ def filter_data(df) -> pd.DataFrame:
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]
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return df_filtered
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-
def show_specie_author(df):
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"""
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Display a list of species and their corresponding authors with checkboxes.
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Args:
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@@ -51,7 +51,7 @@ def show_specie_author(df):
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label = f"{row['author_email']} ({row['counts']})"
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st.session_state.checkbox_states[key] = st.checkbox(label, key=key)
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def show_new_data_view(df) -> pd.DataFrame:
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"""
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Show the new filtered data view on the UI.
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Filter the dataframe based on the state of the localisation sliders and selected timeframe by the user.
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df = clean_date(df)
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return df
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+
def filter_data(df:pd.DataFrame) -> pd.DataFrame:
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"""
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Filter the DataFrame based on user-selected ranges for latitude, longitude, and date.
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Args:
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]
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return df_filtered
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+
def show_specie_author(df:pd.DataFrame):
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"""
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Display a list of species and their corresponding authors with checkboxes.
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Args:
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label = f"{row['author_email']} ({row['counts']})"
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st.session_state.checkbox_states[key] = st.checkbox(label, key=key)
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+
def show_new_data_view(df:pd.DataFrame) -> pd.DataFrame:
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"""
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Show the new filtered data view on the UI.
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Filter the dataframe based on the state of the localisation sliders and selected timeframe by the user.
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src/dataset/fake_data.py
CHANGED
@@ -1,3 +1,4 @@
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import pandas as pd
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import random
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from datetime import datetime, timedelta
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@@ -5,7 +6,7 @@ from datetime import datetime, timedelta
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from dataset.download import presentation_data_schema
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from whale_viewer import WHALE_CLASSES
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def generate_fake_data(df, num_fake) -> pd.DataFrame:
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"""
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Generate fake data for the dataset.
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@@ -23,13 +24,13 @@ def generate_fake_data(df, num_fake) -> pd.DataFrame:
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]
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-
def random_ocean_coord():
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"""Generate random ocean-friendly coordinates."""
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lat = random.uniform(-60, 60) # avoid poles
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lon = random.uniform(-180, 180)
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return lat, lon
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def random_date(start_year=2018, end_year=2025):
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"""Generate a random date."""
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start = datetime(start_year, 1, 1)
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end = datetime(end_year, 1, 1)
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+
from typing import Tuple
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import pandas as pd
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import random
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from datetime import datetime, timedelta
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from dataset.download import presentation_data_schema
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from whale_viewer import WHALE_CLASSES
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def generate_fake_data(df:pd.DataFrame, num_fake:int) -> pd.DataFrame:
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"""
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Generate fake data for the dataset.
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]
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+
def random_ocean_coord() -> Tuple[float, float]:
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"""Generate random ocean-friendly coordinates."""
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lat = random.uniform(-60, 60) # avoid poles
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lon = random.uniform(-180, 180)
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return lat, lon
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+
def random_date(start_year:int=2018, end_year:int=2025) -> datetime:
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"""Generate a random date."""
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start = datetime(start_year, 1, 1)
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end = datetime(end_year, 1, 1)
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