examples moved to archive

archive/examples/1_setting_data/setting_data.py

@@ -0,0 +1,11 @@
+import pandas as pd
+from lightweight_charts import Chart
+
+if __name__ == '__main__':
+    chart = Chart()
+
+    # Columns: time | open | high | low | close | volume
+    df = pd.read_csv('ohlcv.csv')
+    chart.set(df)
+
+    chart.show(block=True)

archive/examples/2_live_data/live_data.py

@@ -0,0 +1,25 @@
+import pandas as pd
+from time import sleep
+from lightweight_charts import Chart
+
+if __name__ == '__main__':
+
+    chart = Chart()
+
+    df1 = pd.read_csv('ohlcv.csv')
+    df2 = pd.read_csv('next_ohlcv.csv')
+
+    chart.set(df1)
+
+    chart.show()
+
+    last_close = df1.iloc[-1]['close']
+
+    for i, series in df2.iterrows():
+        chart.update(series)
+
+        if series['close'] > 20 and last_close < 20:
+            chart.marker(text='The price crossed $20!')
+
+        last_close = series['close']
+        sleep(0.1)

archive/examples/3_tick_data/ohlc.csv

@@ -0,0 +1,437 @@
+,date,open,high,low,close,average,barCount
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archive/examples/3_tick_data/tick_data.py

@@ -0,0 +1,20 @@
+import pandas as pd
+from time import sleep
+from lightweight_charts import Chart
+
+if __name__ == '__main__':
+
+    df1 = pd.read_csv('ohlc.csv')
+
+    # Columns: time | price
+    df2 = pd.read_csv('ticks.csv')
+
+    chart = Chart()
+
+    chart.set(df1)
+
+    chart.show()
+
+    for i, tick in df2.iterrows():
+        chart.update_from_tick(tick)
+        sleep(0.03)

archive/examples/4_line_indicators/line_indicators.py

@@ -0,0 +1,23 @@
+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()
+
+
+if __name__ == '__main__':
+    chart = Chart()
+    chart.legend(visible=True)
+
+    df = pd.read_csv('ohlcv.csv')
+    chart.set(df)
+
+    line = chart.create_line('SMA 50')
+    sma_data = calculate_sma(df, period=50)
+    line.set(sma_data)
+
+    chart.show(block=True)

archive/examples/5_styling/styling.py

@@ -0,0 +1,26 @@
+import pandas as pd
+from lightweight_charts import Chart
+
+
+if __name__ == '__main__':
+
+    chart = Chart()
+
+    df = pd.read_csv('ohlcv.csv')
+
+    chart.layout(background_color='#090008', text_color='#FFFFFF', font_size=16, font_family='Helvetica')
+
+    chart.candle_style(up_color='#00ff55', down_color='#ed4807', border_up_color='#FFFFFF', border_down_color='#FFFFFF',
+                       wick_up_color='#FFFFFF', wick_down_color='#FFFFFF')
+
+    chart.volume_config(up_color='#00ff55', down_color='#ed4807')
+
+    chart.watermark('1D', color='rgba(180, 180, 240, 0.7)')
+
+    chart.crosshair(mode='normal', vert_color='#FFFFFF', vert_style='dotted', horz_color='#FFFFFF', horz_style='dotted')
+
+    chart.legend(visible=True, font_size=14)
+
+    chart.set(df)
+
+    chart.show(block=True)

archive/examples/6_callbacks/callbacks.py

@@ -0,0 +1,46 @@
+import pandas as pd
+from lightweight_charts import Chart
+
+
+def get_bar_data(symbol, timeframe):
+    if symbol not in ('AAPL', 'GOOGL', 'TSLA'):
+        print(f'No data for "{symbol}"')
+        return pd.DataFrame()
+    return pd.read_csv(f'bar_data/{symbol}_{timeframe}.csv')
+
+
+def on_search(chart, searched_string):  # Called when the user searches.
+    new_data = get_bar_data(searched_string, chart.topbar['timeframe'].value)
+    if new_data.empty:
+        return
+    chart.topbar['symbol'].set(searched_string)
+    chart.set(new_data)
+
+
+def on_timeframe_selection(chart):  # Called when the user changes the timeframe.
+    new_data = get_bar_data(chart.topbar['symbol'].value, chart.topbar['timeframe'].value)
+    if new_data.empty:
+        return
+    chart.set(new_data, True)
+
+
+def on_horizontal_line_move(chart, line):
+    print(f'Horizontal line moved to: {line.price}')
+
+
+if __name__ == '__main__':
+    chart = Chart(toolbox=True)
+    chart.legend(True)
+
+    chart.events.search += on_search
+
+    chart.topbar.textbox('symbol', 'TSLA')
+    chart.topbar.switcher('timeframe', ('1min', '5min', '30min'), default='5min',
+                          func=on_timeframe_selection)
+
+    df = get_bar_data('TSLA', '5min')
+    chart.set(df)
+
+    chart.horizontal_line(200, func=on_horizontal_line_move)
+
+    chart.show(block=True)