75 lines
1.6 KiB
Python
75 lines
1.6 KiB
Python
import matplotlib.pyplot as plt
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import seaborn as sns
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import numpy as np
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from typing import Optional
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import logging
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logger = logging.getLogger(__name__)
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def setup_plot_style() -> None:
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"""
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Set up consistent plotting style.
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"""
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# TODO: Implement plot style configuration
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pass
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def save_plot(fig: plt.Figure, filename: str) -> None:
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"""
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Save plot to file with proper error handling.
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"""
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# TODO: Implement plot saving with error handling
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pass
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def create_time_series_plot(
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x: np.ndarray,
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y_true: np.ndarray,
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y_pred: np.ndarray,
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title: str,
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xlabel: str,
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ylabel: str,
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max_points: Optional[int] = None
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) -> plt.Figure:
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"""
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Create a time series plot with actual vs predicted values.
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"""
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# TODO: Implement time series plot creation
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pass
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def create_scatter_plot(
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y_true: np.ndarray,
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y_pred: np.ndarray,
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title: str,
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xlabel: str,
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ylabel: str
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) -> plt.Figure:
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"""
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Create a scatter plot of actual vs predicted values.
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"""
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# TODO: Implement scatter plot creation
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pass
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def create_residuals_plot(
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x: np.ndarray,
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residuals: np.ndarray,
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title: str,
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xlabel: str,
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ylabel: str,
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max_points: Optional[int] = None
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) -> plt.Figure:
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"""
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Create a plot of residuals over time.
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"""
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# TODO: Implement residuals plot creation
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pass
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def create_residuals_distribution_plot(
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residuals: np.ndarray,
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title: str,
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xlabel: str,
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ylabel: str
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) -> plt.Figure:
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"""
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Create a distribution plot of residuals.
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"""
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# TODO: Implement residuals distribution plot creation
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pass |