Subplot and Utility Functions

def make_subplots(rows=1, cols=1, shared_xaxes=False, shared_yaxes=False, 
                  start_cell='top-left', print_grid=False, horizontal_spacing=None, 
                  vertical_spacing=None, subplot_titles=None, column_widths=None, 
                  row_heights=None, specs=None, insets=None, column_titles=None, 
                  row_titles=None, x_title=None, y_title=None, **kwargs):
    """
    Create subplots with customizable layout and spacing.
    
    Parameters:
    - rows: int, number of subplot rows
    - cols: int, number of subplot columns  
    - shared_xaxes: bool or str, whether to share x-axes across subplots
    - shared_yaxes: bool or str, whether to share y-axes across subplots
    - start_cell: str, starting position ('top-left', 'bottom-left', etc.)
    - horizontal_spacing: float, spacing between subplot columns (0-1)
    - vertical_spacing: float, spacing between subplot rows (0-1)
    - subplot_titles: list of str, titles for each subplot
    - column_widths: list of float, relative widths of subplot columns
    - row_heights: list of float, relative heights of subplot rows
    - specs: list of list of dict, subplot specifications
    - insets: list of dict, inset subplot specifications
    - column_titles: list of str, titles for each column
    - row_titles: list of str, titles for each row
    - x_title: str, shared x-axis title
    - y_title: str, shared y-axis title
    
    Returns:
    Figure: Figure object with subplot layout configured
    """

def get_subplots(rows=1, columns=1, print_grid=False, **kwargs):
    """
    Legacy function for creating subplot layouts (deprecated, use make_subplots).
    
    Parameters:
    - rows: int, number of subplot rows
    - columns: int, number of subplot columns
    - print_grid: bool, whether to print grid layout
    - **kwargs: additional subplot parameters
    
    Returns:
    Figure: Figure object with subplot layout
    """

def mpl_to_plotly(fig, resize=False, strip_style=False, verbose=False):
    """
    Convert matplotlib figure to plotly figure.
    
    Parameters:
    - fig: matplotlib Figure object to convert
    - resize: bool, whether to resize the converted figure
    - strip_style: bool, whether to remove matplotlib styling
    - verbose: bool, whether to print conversion details
    
    Returns:
    Figure: Plotly figure object equivalent to matplotlib input
    """

def get_config_plotly_server_url():
    """
    Get configured plotly server URL.
    
    Returns:
    str: Server URL configuration string
    """

def get_graph_obj(obj, obj_type=None):
    """
    Validate and convert object to plotly graph object.
    
    Parameters:
    - obj: object to convert/validate
    - obj_type: str, expected object type
    
    Returns:
    graph object: Validated plotly graph object
    """

def return_figure_from_figure_or_data(figure_or_data, validate_figure):
    """
    Extract figure from figure or data input.
    
    Parameters:
    - figure_or_data: Figure object or data traces
    - validate_figure: bool, whether to validate the figure
    
    Returns:
    Figure: Plotly figure object
    """

import plotly.tools as tools
import plotly.graph_objects as go
import matplotlib.pyplot as plt

# Create subplot layout
fig = tools.make_subplots(
    rows=2, cols=2,
    subplot_titles=['Plot 1', 'Plot 2', 'Plot 3', 'Plot 4'],
    horizontal_spacing=0.1,
    vertical_spacing=0.1
)

# Add traces to specific subplots
fig.add_trace(go.Scatter(x=[1, 2, 3], y=[4, 5, 6]), row=1, col=1)
fig.add_trace(go.Bar(x=['A', 'B', 'C'], y=[1, 2, 3]), row=1, col=2)
fig.add_trace(go.Scatter(x=[1, 2, 3], y=[6, 5, 4]), row=2, col=1)
fig.add_trace(go.Heatmap(z=[[1, 2], [3, 4]]), row=2, col=2)

fig.show()

# Convert matplotlib figure
plt.figure(figsize=(8, 6))
plt.plot([1, 2, 3, 4], [1, 4, 2, 3])
plt.title('Matplotlib Figure')
mpl_fig = plt.gcf()

# Convert to plotly
plotly_fig = tools.mpl_to_plotly(mpl_fig)
plotly_fig.show()

# Shared axes example
fig_shared = tools.make_subplots(
    rows=3, cols=1,
    shared_xaxes=True,
    vertical_spacing=0.02,
    subplot_titles=['Time Series 1', 'Time Series 2', 'Time Series 3']
)

# Add time series data
import pandas as pd
dates = pd.date_range('2023-01-01', periods=100)
fig_shared.add_trace(go.Scatter(x=dates, y=range(100)), row=1, col=1)
fig_shared.add_trace(go.Scatter(x=dates, y=range(100, 0, -1)), row=2, col=1)
fig_shared.add_trace(go.Scatter(x=dates, y=[i**2 for i in range(100)]), row=3, col=1)

fig_shared.show()