Plotting a Swing chart over the generic OHLC chart

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I'm want to visualize a swings/price movement chart over a normal OHLC chart, e.g., like the attachment below.


I have written the following code:
```py
def get_swing_dataframe(daily: DataFrame):
last_high = -999999999
last_low = abs(last_high)
raw_dftb = []
dip = True

for row in daily.iterrows():
close = row[1]["Close"]
mark = False

if dip:
if close > last_high:
dip = False
mark = True
last_high = close
else:
if close < last_low:
dip = True
mark = True
last_low = close

if mark:
raw_dftb.append(row[1])

df = pd.DataFrame(raw_dftb)
df.index.name = "Date"
return df

def main():
daily = pd.read_csv("ES___CCB.csv", index_col=0, parse_dates=True)
daily.index.name = "Date"
swing = get_swing_dataframe(daily)
mpf.plot(
daily,
style="binance",
type="ohlc",
addplot=[mpf.make_addplot(swing, type="line", color="g", panel=1)],
)

if __name__ == "__main__":
main()
```
The issue here is that the "Swing" dataframe does not have a data entry for every single date, it only marks where and when the price changes, spitting out the following error:
```
File "D:\Andaconda3\lib\site-packages\matplotlib\axes\_axes.py", line 1605, in plot
lines = [*self._get_lines(*args, data=data, **kwargs)]
File "D:\Andaconda3\lib\site-packages\matplotlib\axes\_base.py", line 315, in __call__
yield from self._plot_args(this, kwargs)
File "D:\Andaconda3\lib\site-packages\matplotlib\axes\_base.py", line 501, in _plot_args
raise ValueError(f"x and y must have same first dimension, but "
ValueError: x and y must have same first dimension, but have shapes (6232,) and (23,)
```
How can I achieve this?
Recap: I want to visualize a swings/price movement chart over a normal OHLC chart, e.g., like the attachment below.

Beginne mit den Aufrufen von mpf.plot und mpf.make_addplot im Beispiel und reproduziere dann die Abweichung mit den beschriebenen täglichen und Swing-DataFrames. Verfolge, wie addplot-Daten an der OHLC-x-Achse ausgerichtet werden; als abgeschlossen gilt die Aufgabe, wenn eine sparse Swing-Serie ohne den x/y-Dimensionsfehler im normalen OHLC-Chart überlagert werden kann und der angeforderten Swing-Visualisierung entspricht.

Vom Indexierungsmodell aus dem Issue-Text verfasst.