Repository: ManimCommunity/manim
File: manim/mobject/graphing/coordinate_systems.py (Python)

Code before:
            return self.slope_of_tangent(x, graph)

        return self.plot(deriv, color=color, **kwargs)

    def plot_antiderivative_graph(
        self,
        graph: ParametricFunction,
        y_intercept: float = 0,
        samples: int = 50,
        use_vectorized: bool = False,
        **kwargs,
    ):
        """Plots an antiderivative graph.

        Parameters
        ----------
        graph
            The graph for which the antiderivative will be found.
        y_intercept
            The y-value at which the graph intercepts the y-axis.
        samples
            The number of points to take the area under the graph.
        use_vectorized
            Whether to use the vectorized version of the antiderivative. This means
            to pass in the generated t value array to the function. Only use this if your function supports it.
            Output should be a numpy array of shape ``[y_0,y_1,...]``
        kwargs
            Any valid keyword argument of :class:`~.ParametricFunction`.

        Returns
        -------
        :class:`~.ParametricFunction`
            The curve of the antiderivative.


        .. note::
            This graph is plotted from the values of area under the reference graph.
            The result might not be ideal if the reference graph contains uncalculatable
            areas from x=0.

        Examples
        --------
        .. manim:: AntiderivativeExample
            :save_last_frame:

            class AntiderivativeExample(Scene):
                def construct(self):
                    ax = Axes()
                    graph1 = ax.plot(
                        lambda x: (x ** 2 - 2) / 3,
                        color=RED,

Review comment (suggestion):
```suggestion
            Output should be a numpy array of shape ``[y_0, y_1, ...]``
```

Code after:
            return self.slope_of_tangent(x, graph)

        return self.plot(deriv, color=color, **kwargs)

    def plot_antiderivative_graph(
        self,
        graph: ParametricFunction,
        y_intercept: float = 0,
        samples: int = 50,
        use_vectorized: bool = False,
        **kwargs,
    ):
        """Plots an antiderivative graph.

        Parameters
        ----------
        graph
            The graph for which the antiderivative will be found.
        y_intercept
            The y-value at which the graph intercepts the y-axis.
        samples
            The number of points to take the area under the graph.
        use_vectorized
            Whether to use the vectorized version of the antiderivative. This means
            to pass in the generated t value array to the function. Only use this if your function supports it.
            Output should be a numpy array of shape ``[y_0, y_1, ...]``
        kwargs
            Any valid keyword argument of :class:`~.ParametricFunction`.

        Returns
        -------
        :class:`~.ParametricFunction`
            The curve of the antiderivative.


        .. note::
            This graph is plotted from the values of area under the reference graph.
            The result might not be ideal if the reference graph contains uncalculatable
            areas from x=0.

        Examples
        --------
        .. manim:: AntiderivativeExample
            :save_last_frame:

            class AntiderivativeExample(Scene):
                def construct(self):
                    ax = Axes()
                    graph1 = ax.plot(
                        lambda x: (x ** 2 - 2) / 3,
                        color=RED,