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diff --git a/venv/lib/python3.8/site-packages/plotly/__init__.py b/venv/lib/python3.8/site-packages/plotly/__init__.py
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+"""
+https://plot.ly/python/
+
+Plotly's Python API allows users to programmatically access Plotly's
+server resources.
+
+This package is organized as follows:
+
+Subpackages:
+
+- plotly: all functionality that requires access to Plotly's servers
+
+- graph_objs: objects for designing figures and visualizing data
+
+- matplotlylib: tools to convert matplotlib figures
+
+Modules:
+
+- tools: some helpful tools that do not require access to Plotly's servers
+
+- utils: functions that you probably won't need, but that subpackages use
+
+- version: holds the current API version
+
+- exceptions: defines our custom exception classes
+
+"""
+
+from typing import TYPE_CHECKING
+from _plotly_utils.importers import relative_import
+import importlib.metadata
+
+# This is the version of the plotly package
+__version__ = importlib.metadata.version("plotly")
+version = __version__
+
+if TYPE_CHECKING:
+    from plotly import (
+        graph_objs,
+        tools,
+        utils,
+        offline,
+        colors,
+        io,
+        data,
+    )
+    from plotly.version import __version__
+
+    __all__ = [
+        "graph_objs",
+        "tools",
+        "utils",
+        "offline",
+        "colors",
+        "io",
+        "data",
+        "__version__",
+    ]
+
+    # Set default template (for >= 3.7 this is done in ploty/io/__init__.py)
+    from plotly.io import templates
+
+    templates._default = "plotly"
+else:
+    __all__, __getattr__, __dir__ = relative_import(
+        __name__,
+        [
+            ".graph_objs",
+            ".graph_objects",
+            ".tools",
+            ".utils",
+            ".offline",
+            ".colors",
+            ".io",
+            ".data",
+        ],
+        [".version.__version__"],
+    )
+
+
+def plot(data_frame, kind, **kwargs):
+    """
+    Pandas plotting backend function, not meant to be called directly.
+    To activate, set pandas.options.plotting.backend="plotly"
+    See https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/__init__.py
+    """
+    from .express import (
+        scatter,
+        line,
+        area,
+        bar,
+        box,
+        histogram,
+        violin,
+        strip,
+        funnel,
+        density_contour,
+        density_heatmap,
+        imshow,
+    )
+
+    if kind == "scatter":
+        new_kwargs = {k: kwargs[k] for k in kwargs if k not in ["s", "c"]}
+        return scatter(data_frame, **new_kwargs)
+    if kind == "line":
+        return line(data_frame, **kwargs)
+    if kind == "area":
+        new_kwargs = {k: kwargs[k] for k in kwargs if k not in ["stacked"]}
+        return area(data_frame, **new_kwargs)
+    if kind == "bar":
+        return bar(data_frame, **kwargs)
+    if kind == "barh":
+        return bar(data_frame, orientation="h", **kwargs)
+    if kind == "box":
+        new_kwargs = {k: kwargs[k] for k in kwargs if k not in ["by"]}
+        return box(data_frame, **new_kwargs)
+    if kind in ["hist", "histogram"]:
+        new_kwargs = {k: kwargs[k] for k in kwargs if k not in ["by", "bins"]}
+        return histogram(data_frame, **new_kwargs)
+    if kind == "violin":
+        return violin(data_frame, **kwargs)
+    if kind == "strip":
+        return strip(data_frame, **kwargs)
+    if kind == "funnel":
+        return funnel(data_frame, **kwargs)
+    if kind == "density_contour":
+        return density_contour(data_frame, **kwargs)
+    if kind == "density_heatmap":
+        return density_heatmap(data_frame, **kwargs)
+    if kind == "imshow":
+        return imshow(data_frame, **kwargs)
+    if kind == "heatmap":
+        raise ValueError(
+            "kind='heatmap' not supported plotting.backend='plotly'. "
+            "Please use kind='imshow' or kind='density_heatmap'."
+        )
+
+    raise NotImplementedError(
+        "kind='%s' not yet supported for plotting.backend='plotly'" % kind
+    )
+
+
+def boxplot_frame(data_frame, **kwargs):
+    """
+    Pandas plotting backend function, not meant to be called directly.
+    To activate, set pandas.options.plotting.backend="plotly"
+    See https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/__init__.py
+    """
+    from .express import box
+
+    skip = ["by", "column", "ax", "fontsize", "rot", "grid", "figsize", "layout"]
+    skip += ["return_type"]
+    new_kwargs = {k: kwargs[k] for k in kwargs if k not in skip}
+    return box(data_frame, **new_kwargs)
+
+
+def hist_frame(data_frame, **kwargs):
+    """
+    Pandas plotting backend function, not meant to be called directly.
+    To activate, set pandas.options.plotting.backend="plotly"
+    See https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/__init__.py
+    """
+    from .express import histogram
+
+    skip = ["column", "by", "grid", "xlabelsize", "xrot", "ylabelsize", "yrot"]
+    skip += ["ax", "sharex", "sharey", "figsize", "layout", "bins", "legend"]
+    new_kwargs = {k: kwargs[k] for k in kwargs if k not in skip}
+    return histogram(data_frame, **new_kwargs)
+
+
+def hist_series(data_frame, **kwargs):
+    """
+    Pandas plotting backend function, not meant to be called directly.
+    To activate, set pandas.options.plotting.backend="plotly"
+    See https://github.com/pandas-dev/pandas/blob/master/pandas/plotting/__init__.py
+    """
+    from .express import histogram
+
+    skip = ["by", "grid", "xlabelsize", "xrot", "ylabelsize", "yrot", "ax"]
+    skip += ["figsize", "bins", "legend"]
+    new_kwargs = {k: kwargs[k] for k in kwargs if k not in skip}
+    return histogram(data_frame, **new_kwargs)
+
+
+def _jupyter_labextension_paths():
+    """Called by Jupyter Lab Server to detect if it is a valid labextension and
+    to install the extension.
+    """
+    return [
+        {
+            "src": "labextension/static",
+            "dest": "jupyterlab-plotly",
+        }
+    ]