# Simplified examples from pandas that trigger type errors

def format_date_labels(ax: Axes, rot) -> None:
    for label in ax.get_xticklabels():
        label.set_ha("right") # error: "Text" has no attribute "set_ha"  [attr-defined]


def test(cellText: np.ndarray):
    # error: Argument "cellText" to "table" has incompatible type "ndarray[Any, Any]"; expected "Sequence[Sequence[str]] | None"  [arg-type]
    # maybe use a Protocol such as Iterable?
    matplotlib.table.table(ax, cellText=cellText **kwargs)


def decorate_axes(ax: Axes, freq, kwargs) -> None:
    # The following might just be bad pandas code
    # error: "Axes" has no attribute "freq"  [attr-defined]
    ax.freq = freq
    xaxis = ax.get_xaxis()
    xaxis.freq = freq
    if not hasattr(ax, "legendlabels"):
        ax.legendlabels = [kwargs.get("label", None)]
    else:
        ax.legendlabels.append(kwargs.get("label", None))

# error: Argument 1 to "FixedLocator" has incompatible type "ndarray[Any, Any]"; expected "Sequence[float]"  [arg-type]
FixedLocator(ax.get_xticks()) 

# same also for set_ylabel, maybe use a protocol for str-coercible types instead of requiring str
def test(ax: Axes, label: Hashable): # Hashable might be too wide, but str seems to strict
    ax.set_xlabel(label)

def test(ax: Axes):
    axes = np.array([ax])
    # error: Argument 1 to "set_ticks_props" has incompatible type "ndarray[Any, dtype[Any]]"; expected "Axes | Sequence[Axes]"  [arg-type]
    set_ticks_props(axes, **kwargs)