Use build_args for plot script
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@ -357,6 +357,9 @@ ARGS_PLOT_DATAFRAME = (ARGS_COMMON + ARGS_STRATEGY +
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["pairs", "indicators1", "indicators2", "plot_limit", "db_url", "trade_source",
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["pairs", "indicators1", "indicators2", "plot_limit", "db_url", "trade_source",
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"export", "exportfilename", "timerange", "refresh_pairs", "live"])
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"export", "exportfilename", "timerange", "refresh_pairs", "live"])
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ARGS_PLOT_PROFIT = (ARGS_COMMON + ARGS_STRATEGY +
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["pairs", "timerange", "export", "exportfilename"])
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class TimeRange(NamedTuple):
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class TimeRange(NamedTuple):
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"""
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"""
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@ -24,7 +24,7 @@ import plotly.graph_objs as go
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from plotly import tools
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from plotly import tools
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from plotly.offline import plot
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from plotly.offline import plot
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from freqtrade.arguments import Arguments, ARGS_PLOT_DATAFRAME
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from freqtrade.arguments import Arguments, ARGS_PLOT_PROFIT
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from freqtrade.configuration import Configuration
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from freqtrade.configuration import Configuration
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from freqtrade.data import history
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from freqtrade.data import history
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from freqtrade.exchange import timeframe_to_seconds
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from freqtrade.exchange import timeframe_to_seconds
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@ -206,11 +206,7 @@ def plot_parse_args(args: List[str]) -> Namespace:
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:return: args: Array with all arguments
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:return: args: Array with all arguments
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"""
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"""
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arguments = Arguments(args, 'Graph profits')
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arguments = Arguments(args, 'Graph profits')
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arguments.build_args(optionlist=ARGS_PLOT_DATAFRAME)
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arguments.build_args(optionlist=ARGS_PLOT_PROFIT)
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arguments.common_optimize_options()
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arguments.backtesting_options()
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arguments.common_scripts_options()
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return arguments.parse_args()
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return arguments.parse_args()
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