Add drias indicators
Browse files- climateqa/engine/talk_to_data/config.py +17 -0
- climateqa/engine/talk_to_data/plot.py +19 -7
- style.css +23 -0
climateqa/engine/talk_to_data/config.py
CHANGED
@@ -51,6 +51,23 @@ DRIAS_MODELS = [
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'REMO2009_MPI-ESM-LR',
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'CCLM4-8-17_HadGEM2-ES'
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]
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DRIAS_UI_TEXT = """
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Hi, I'm **Talk to Drias**, designed to answer your questions using [**DRIAS - TRACC 2023**](https://www.drias-climat.fr/accompagnement/sections/401) data.
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'REMO2009_MPI-ESM-LR',
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'CCLM4-8-17_HadGEM2-ES'
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]
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+
# Mapping between indicator columns and their units
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INDICATOR_TO_UNIT = {
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"total_winter_precipitation": "mm",
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"total_summer_precipitation": "mm",
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"total_annual_precipitation": "mm",
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"total_remarkable_daily_precipitation": "mm",
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"frequency_of_remarkable_daily_precipitation": "days",
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"extreme_precipitation_intensity": "mm",
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"mean_winter_temperature": "°C",
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"mean_summer_temperature": "°C",
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"mean_annual_temperature": "°C",
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"number_tropical_nights": "days",
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"maximum_summer_temperature": "°C",
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"number_of_days_with_tx_above_30": "days",
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"number_of_days_with_tx_above_35": "days",
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"number_of_days_with_dry_ground": "days"
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}
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DRIAS_UI_TEXT = """
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Hi, I'm **Talk to Drias**, designed to answer your questions using [**DRIAS - TRACC 2023**](https://www.drias-climat.fr/accompagnement/sections/401) data.
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climateqa/engine/talk_to_data/plot.py
CHANGED
@@ -9,6 +9,9 @@ from climateqa.engine.talk_to_data.sql_query import (
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indicator_for_given_year_query,
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indicator_per_year_at_location_query,
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)
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class Plot(TypedDict):
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@@ -58,6 +61,7 @@ def plot_indicator_evolution_at_location(params: dict) -> Callable[..., Figure]:
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indicator = params["indicator_column"]
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location = params["location"]
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indicator_label = " ".join([word.capitalize() for word in indicator.split("_")])
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def plot_data(df: pd.DataFrame) -> Figure:
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"""Generates the actual plot from the data.
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@@ -111,6 +115,7 @@ def plot_indicator_evolution_at_location(params: dict) -> Callable[..., Figure]:
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name=f"Yearly {indicator_label}",
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mode="lines",
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marker=dict(color="#1f77b4"),
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)
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# Sliding average dashed line
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@@ -121,11 +126,12 @@ def plot_indicator_evolution_at_location(params: dict) -> Callable[..., Figure]:
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name="10 years rolling average",
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line=dict(dash="dash"),
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marker=dict(color="#d62728"),
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)
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fig.update_layout(
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title=f"Plot of {indicator_label} in {location} ({model_label})",
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xaxis_title="Year",
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yaxis_title=indicator_label,
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template="plotly_white",
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)
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return fig
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@@ -161,6 +167,8 @@ def plot_indicator_number_of_days_per_year_at_location(
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"""
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indicator = params["indicator_column"]
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location = params["location"]
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def plot_data(df: pd.DataFrame) -> Figure:
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"""Generate the figure thanks to the dataframe
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@@ -195,15 +203,14 @@ def plot_indicator_number_of_days_per_year_at_location(
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y=indicators,
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width=0.5,
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marker=dict(color="#1f77b4"),
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)
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)
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-
indicator_label = " ".join([word.capitalize() for word in indicator.split("_")])
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-
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fig.update_layout(
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title=f"{indicator_label} in {location} ({model_label})",
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xaxis_title="Year",
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yaxis_title=
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yaxis=dict(range=[0, max(indicators)]),
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bargap=0.5,
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template="plotly_white",
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@@ -243,6 +250,7 @@ def plot_distribution_of_indicator_for_given_year(
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indicator = params["indicator_column"]
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year = params["year"]
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indicator_label = " ".join([word.capitalize() for word in indicator.split("_")])
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def plot_data(df: pd.DataFrame) -> Figure:
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"""Generate the figure thanks to the dataframe
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@@ -277,13 +285,14 @@ def plot_distribution_of_indicator_for_given_year(
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opacity=0.8,
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histnorm="percent",
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marker=dict(color="#1f77b4"),
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)
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)
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fig.update_layout(
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title=f"Distribution of {indicator_label} in {year} ({model_label})",
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xaxis_title=indicator_label,
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yaxis_title="Frequency",
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plot_bgcolor="rgba(0, 0, 0, 0)",
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showlegend=False,
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)
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@@ -322,6 +331,7 @@ def plot_map_of_france_of_indicator_for_given_year(
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indicator = params["indicator_column"]
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year = params["year"]
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indicator_label = " ".join([word.capitalize() for word in indicator.split("_")])
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def plot_data(df: pd.DataFrame) -> Figure:
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fig = go.Figure()
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@@ -358,6 +368,8 @@ def plot_map_of_france_of_indicator_for_given_year(
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cmax=max(indicators), # Maximum color range
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showscale=True, # Show colorbar
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),
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)
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)
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@@ -365,7 +377,7 @@ def plot_map_of_france_of_indicator_for_given_year(
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mapbox_style="open-street-map", # Use OpenStreetMap
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mapbox_zoom=3,
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mapbox_center={"lat": 46.6, "lon": 2.0},
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coloraxis_colorbar=dict(title=f"{indicator_label}"), # Add legend
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title=f"{indicator_label} in {year} in France ({model_label}) " # Title
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)
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return fig
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indicator_for_given_year_query,
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indicator_per_year_at_location_query,
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)
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+
from climateqa.engine.talk_to_data.config import INDICATOR_TO_UNIT
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+
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class Plot(TypedDict):
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indicator = params["indicator_column"]
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location = params["location"]
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indicator_label = " ".join([word.capitalize() for word in indicator.split("_")])
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unit = INDICATOR_TO_UNIT.get(indicator, "")
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def plot_data(df: pd.DataFrame) -> Figure:
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"""Generates the actual plot from the data.
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name=f"Yearly {indicator_label}",
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mode="lines",
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marker=dict(color="#1f77b4"),
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hovertemplate=f"{indicator_label}: %{{y:.2f}} {unit}<br>Year: %{{x}}<extra></extra>"
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)
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# Sliding average dashed line
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name="10 years rolling average",
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line=dict(dash="dash"),
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marker=dict(color="#d62728"),
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hovertemplate=f"10-year average: %{{y:.2f}} {unit}<br>Year: %{{x}}<extra></extra>"
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)
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fig.update_layout(
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title=f"Plot of {indicator_label} in {location} ({model_label})",
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xaxis_title="Year",
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yaxis_title=f"{indicator_label} ({unit})",
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template="plotly_white",
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)
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return fig
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"""
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indicator = params["indicator_column"]
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location = params["location"]
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indicator_label = " ".join([word.capitalize() for word in indicator.split("_")])
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unit = INDICATOR_TO_UNIT.get(indicator, "")
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def plot_data(df: pd.DataFrame) -> Figure:
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"""Generate the figure thanks to the dataframe
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y=indicators,
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width=0.5,
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marker=dict(color="#1f77b4"),
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hovertemplate=f"{indicator_label}: %{{y:.2f}} {unit}<br>Year: %{{x}}<extra></extra>"
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)
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)
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fig.update_layout(
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title=f"{indicator_label} in {location} ({model_label})",
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xaxis_title="Year",
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yaxis_title=f"{indicator_label} ({unit})",
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yaxis=dict(range=[0, max(indicators)]),
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bargap=0.5,
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template="plotly_white",
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indicator = params["indicator_column"]
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year = params["year"]
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indicator_label = " ".join([word.capitalize() for word in indicator.split("_")])
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+
unit = INDICATOR_TO_UNIT.get(indicator, "")
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def plot_data(df: pd.DataFrame) -> Figure:
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"""Generate the figure thanks to the dataframe
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opacity=0.8,
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histnorm="percent",
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marker=dict(color="#1f77b4"),
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hovertemplate=f"{indicator_label}: %{{x:.2f}} {unit}<br>Frequency: %{{y:.2f}}%<extra></extra>"
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)
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)
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fig.update_layout(
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title=f"Distribution of {indicator_label} in {year} ({model_label})",
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xaxis_title=f"{indicator_label} ({unit})",
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yaxis_title="Frequency (%)",
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plot_bgcolor="rgba(0, 0, 0, 0)",
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showlegend=False,
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)
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indicator = params["indicator_column"]
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year = params["year"]
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indicator_label = " ".join([word.capitalize() for word in indicator.split("_")])
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unit = INDICATOR_TO_UNIT.get(indicator, "")
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def plot_data(df: pd.DataFrame) -> Figure:
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fig = go.Figure()
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cmax=max(indicators), # Maximum color range
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showscale=True, # Show colorbar
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),
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text=[f"{indicator_label}: {value:.2f} {unit}" for value in indicators], # Add hover text showing the indicator value
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hoverinfo="text" # Only show the custom text on hover
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)
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)
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mapbox_style="open-street-map", # Use OpenStreetMap
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mapbox_zoom=3,
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mapbox_center={"lat": 46.6, "lon": 2.0},
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coloraxis_colorbar=dict(title=f"{indicator_label} ({unit})"), # Add legend
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title=f"{indicator_label} in {year} in France ({model_label}) " # Title
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)
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return fig
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style.css
CHANGED
@@ -671,3 +671,26 @@ div#tab-vanna{
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#table-names thead{
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display: none;
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}
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#table-names thead{
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display: none;
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}
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/* DRIAS Data Table Styles */
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#vanna-table {
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height: 400px !important;
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overflow-y: auto !important;
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}
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#vanna-table > div[class*="table"] {
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height: 400px !important;
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overflow-y: None !important;
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}
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#vanna-table .table-wrap {
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height: 400px !important;
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overflow-y: None !important;
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}
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#vanna-table thead {
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position: sticky;
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top: 0;
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background: white;
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z-index: 1;
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}
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