def plot_trip_counts_per_day(G, ax=None, highlight_dates=None, highlight_date_labels=None, show=False):
    """
    Parameters
    ----------
    G: gtfspy.GTFS
    ax: maptlotlib.Axes, optional
    highlight_dates: list[str|datetime.datetime]
        The values of highlight dates should represent dates, and  or datetime objects.
    highlight_date_labels: list
        The labels for each highlight dates.
    show: bool, optional
        whether or not to immediately show the results

    Returns
    -------
    ax: maptlotlib.Axes object
    """
    daily_trip_counts = G.get_trip_counts_per_day()
    if ax is None:
        _fig, ax = plt.subplots()
    daily_trip_counts["datetime"] = pandas.to_datetime(daily_trip_counts["date_str"])
    daily_trip_counts.plot("datetime", "trip_counts", kind="line", ax=ax, marker="o", color="C0", ls=":",
                           label="Trip counts")
    ax.set_xlabel("Date")
    ax.set_ylabel("Trip counts per day")
    if highlight_dates is not None:
        assert isinstance(highlight_dates, list)
        if highlight_date_labels is not None:
            assert isinstance(highlight_date_labels, list)
            assert len(highlight_dates) == len(highlight_date_labels), "Number of highlight date labels do not match"
        else:
            highlight_date_labels = [None] * len(highlight_dates)
        for i, (highlight_date, label) in enumerate(zip(highlight_dates, highlight_date_labels)):
            color = "C" + str(int(i % 8 + 1))
            highlight_date = pandas.to_datetime(highlight_date)
            ax.axvline(highlight_date, color=color, label=label)
    ax.legend(loc="best")
    ax.grid()
    if show:
        plt.show()
    return ax
def plot_trip_counts_per_day(G, ax=None, highlight_dates=None, highlight_date_labels=None, show=False):
    """
    Parameters
    ----------
    G: gtfspy.GTFS
    ax: maptlotlib.Axes, optional
    highlight_dates: list[str|datetime.datetime]
        The values of highlight dates should represent dates, and  or datetime objects.
    highlight_date_labels: list
        The labels for each highlight dates.
    show: bool, optional
        whether or not to immediately show the results

    Returns
    -------
    ax: maptlotlib.Axes object
    """
    daily_trip_counts = G.get_trip_counts_per_day()
    if ax is None:
        _fig, ax = plt.subplots()
    daily_trip_counts["datetime"] = pandas.to_datetime(daily_trip_counts["date_str"])
    daily_trip_counts.plot("datetime", "trip_counts", kind="line", ax=ax, marker="o", color="C0", ls=":",
                           label="Trip counts")
    ax.set_xlabel("Date")
    ax.set_ylabel("Trip counts per day")
    if highlight_dates is not None:
        assert isinstance(highlight_dates, list)
        if highlight_date_labels is not None:
            assert isinstance(highlight_date_labels, list)
            assert len(highlight_dates) == len(highlight_date_labels), "Number of highlight date labels do not match"
        else:
            highlight_date_labels = [None] * len(highlight_dates)
        for i, (highlight_date, label) in enumerate(zip(highlight_dates, highlight_date_labels)):
            color = "C" + str(int(i % 8 + 1))
            highlight_date = pandas.to_datetime(highlight_date)
            ax.axvline(highlight_date, color=color, label=label)
    ax.legend(loc="best")
    ax.grid()
    if show:
        plt.show()
    return ax
def plot_trip_counts_per_day ( G , ax = None , highlight_dates = None , highlight_date_labels = None , show = False ) : daily_trip_counts = G . get_trip_counts_per_day ( ) if ax is None : _fig , ax = plt . subplots ( ) daily_trip_counts [ "datetime" ] = pandas . to_datetime ( daily_trip_counts [ "date_str" ] ) daily_trip_counts . plot ( "datetime" , "trip_counts" , kind = "line" , ax = ax , marker = "o" , color = "C0" , ls = ":" , label = "Trip counts" ) ax . set_xlabel ( "Date" ) ax . set_ylabel ( "Trip counts per day" ) if highlight_dates is not None : assert isinstance ( highlight_dates , list ) if highlight_date_labels is not None : assert isinstance ( highlight_date_labels , list ) assert len ( highlight_dates ) == len ( highlight_date_labels ) , "Number of highlight date labels do not match" else : highlight_date_labels = [ None ] * len ( highlight_dates ) for i , ( highlight_date , label ) in enumerate ( zip ( highlight_dates , highlight_date_labels ) ) : color = "C" + str ( int ( i % 8 + 1 ) ) highlight_date = pandas . to_datetime ( highlight_date ) ax . axvline ( highlight_date , color = color , label = label ) ax . legend ( loc = "best" ) ax . grid ( ) if show : plt . show ( ) return ax
Parameters
    ----------
    G: gtfspy.GTFS
    ax: maptlotlib.Axes, optional
    highlight_dates: list[str|datetime.datetime]
        The values of highlight dates should represent dates, and  or datetime objects.
    highlight_date_labels: list
        The labels for each highlight dates.
    show: bool, optional
        whether or not to immediately show the results

    Returns
    -------
    ax: maptlotlib.Axes object
Parameters ---------- G : gtfspy . GTFS ax : maptlotlib . Axes optional highlight_dates : list [ str|datetime . datetime ] The values of highlight dates should represent dates and or datetime objects . highlight_date_labels : list The labels for each highlight dates . show : bool optional whether or not to immediately show the results