fix delete drawing when multiple charts is present & fix save drawing after del, drag or resize

docs/source/reference/abstract_chart.md

@@ -56,7 +56,7 @@ ___
 
 
 
-```{py:method} create_line(name: str, color: COLOR, style: LINE_STYLE, width: int, price_line: bool, price_label: bool) -> Line
+```{py:method} create_line(name: str, color: COLOR, style: LINE_STYLE, type: LINE_TYPE, width: int, price_line: bool, price_label: bool) -> Line
 
 Creates and returns a Line object, representing a `LineSeries` object in Lightweight Charts and can be used to create indicators. As well as the methods described below, the `Line` object also has access to:
 
@@ -89,7 +89,7 @@ ___
 
 
 
-```{py:method} trend_line(start_time: str | datetime, start_value: NUM, end_time: str | datetime, end_value: NUM, color: COLOR, width: int, style: LINE_STYLE, round: bool) -> Line
+```{py:method} trend_line(start_time: str | datetime, start_value: NUM, end_time: str | datetime, end_value: NUM, line_color: COLOR, width: int, style: LINE_STYLE, round: bool) -> Line
 
 Creates a trend line, drawn from the first point (`start_time`, `start_value`) to the last point (`end_time`, `end_value`).
 

docs/source/reference/line.md

@@ -1,7 +1,7 @@
 # `Line`
 
 
-````{py:class} Line(name: str, color: COLOR, style: LINE_STYLE, width: int, price_line: bool, price_label: bool, price_scale_id: str)
+````{py:class} Line(name: str, color: COLOR, style: LINE_STYLE, type: LINE_TYPE, width: int, price_line: bool, price_label: bool, price_scale_id: str)
 
 The `Line` object represents a `LineSeries` object in Lightweight Charts and can be used to create indicators. As well as the methods described below, the `Line` object also has access to:
 

docs/source/reference/typing.md

@@ -21,6 +21,9 @@ Throughout the library, colors should be given as either rgb (`rgb(100, 100, 100
 ```{py:class} LINE_STYLE(Literal['solid', 'dotted', 'dashed', 'large_dashed', 'sparse_dotted'])
 ```
 
+```{py:class} LINE_TYPE(Literal['simple', 'with_steps', 'curved'])
+```
+
 ```{py:class} MARKER_POSITION(Literal['above', 'below', 'inside'])
 ```
 

examples/1_setting_data/setting_data.py

@@ -1,11 +1,14 @@
 import pandas as pd
 from lightweight_charts import Chart
+import os
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     chart = Chart()
 
+    path = os.path.join(os.path.dirname(__file__), "ohlcv.csv")
+
     # Columns: time | open | high | low | close | volume
-    df = pd.read_csv('ohlcv.csv')
+    df = pd.read_csv(path)
     chart.set(df)
 
     chart.show(block=True)

examples/7_panes/pane.py

@@ -0,0 +1,55 @@
+import os
+import pandas as pd
+
+from lightweight_charts import Chart
+
+
+def calculate_sma(df, period: int = 50):
+    return pd.DataFrame(
+        {"time": df["date"], f"SMA {period}": df["close"].rolling(window=period).mean()}
+    ).dropna()
+
+
+def calculate_macd(df, short_period=12, long_period=26, signal_period=9):
+    short_ema = df["close"].ewm(span=short_period, adjust=False).mean()
+    long_ema = df["close"].ewm(span=long_period, adjust=False).mean()
+    macd = short_ema - long_ema
+    signal = macd.ewm(span=signal_period, adjust=False).mean()
+    histogram = macd - signal
+    return pd.DataFrame(
+        {
+            "time": df["date"],
+            "MACD": macd,
+            "Signal": signal,
+            "Histogram": histogram,
+        }
+    ).dropna()
+
+
+if __name__ == "__main__":
+    chart = Chart(inner_height=1)
+    chart.legend(visible=True)
+
+    chart.watermark("Main")
+
+    path = os.path.join(os.path.dirname(__file__), "ohlcv.csv")
+
+    df = pd.read_csv(path)
+
+    df = df.head(10)
+
+    chart.set(df)
+
+    sma_data = calculate_sma(df, period=5)
+
+    line = chart.create_line("SMA 5")
+    line.set(sma_data)
+
+    # Subchart with MACD
+
+    macd_data = calculate_macd(df)
+
+    histogram = chart.create_histogram("MACD", pane_index=1)
+    histogram.set(macd_data[["time", "MACD", "Signal", "Histogram"]])
+
+    chart.show(block=True)