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chart styling

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This commit is contained in:
Jonathan Raviotta 2019-09-25 23:09:50 -04:00
parent 9391c27b80
commit 83e596c06f
1 changed files with 7 additions and 5 deletions
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12
freqtrade/plot/plotting.py
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@ -64,7 +64,6 @@ def add_indicators(fig, row, indicators: List[str], data: pd.DataFrame) -> make_
""" """
for indicator in indicators: for indicator in indicators:
if indicator in data: if indicator in data:
# TODO: Figure out why scattergl causes problems plotly/plotly.js#2284
scatter = go.Scatter( scatter = go.Scatter(
x=data['date'], x=data['date'],
y=data[indicator].values, y=data[indicator].values,
@ -92,7 +91,7 @@ def add_profit(fig, row, data: pd.DataFrame, column: str, name: str) -> make_sub
:param name: Name to use :param name: Name to use
:return: fig with added profit plot :return: fig with added profit plot
""" """
profit = go.Scatter( profit = go.Scattergl(
x=data.index, x=data.index,
y=data[column], y=data[column],
name=name, name=name,
@ -221,6 +220,7 @@ def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFra
else: else:
logger.warning("No sell-signals found.") logger.warning("No sell-signals found.")
# TODO: Figure out why scattergl causes problems plotly/plotly.js#2284
if 'bb_lowerband' in data and 'bb_upperband' in data: if 'bb_lowerband' in data and 'bb_upperband' in data:
bb_lower = go.Scatter( bb_lower = go.Scatter(
x=data.date, x=data.date,
@ -251,8 +251,10 @@ def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFra
volume = go.Bar( volume = go.Bar(
x=data['date'], x=data['date'],
y=data['volume'], y=data['volume'],
name='Volume' name='Volume',
) marker_color='DarkSlateGrey',
marker_line_color='DarkSlateGrey'
)
fig.add_trace(volume, 2, 1) fig.add_trace(volume, 2, 1)
# Add indicators to separate row # Add indicators to separate row
@ -270,7 +272,7 @@ def generate_profit_graph(pairs: str, tickers: Dict[str, pd.DataFrame],
df_comb = create_cum_profit(df_comb, trades, 'cum_profit') df_comb = create_cum_profit(df_comb, trades, 'cum_profit')
# Plot the pairs average close prices, and total profit growth # Plot the pairs average close prices, and total profit growth
avgclose = go.Scatter( avgclose = go.Scattergl(
x=df_comb.index, x=df_comb.index,
y=df_comb['mean'], y=df_comb['mean'],
name='Avg close price', name='Avg close price',