Merge pull request #2943 from Fredrik81/add-print-table
Added function to print hyperopt-list as table using tabulate
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commit
893d9cde8d
@ -46,18 +46,12 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
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trials = _hyperopt_filter_trials(trials, filteroptions)
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trials = _hyperopt_filter_trials(trials, filteroptions)
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# TODO: fetch the interval for epochs to print from the cli option
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epoch_start, epoch_stop = 0, None
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if print_colorized:
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if print_colorized:
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colorama_init(autoreset=True)
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colorama_init(autoreset=True)
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try:
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try:
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# Human-friendly indexes used here (starting from 1)
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Hyperopt.print_result_table(config, trials, total_epochs,
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for val in trials[epoch_start:epoch_stop]:
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not filteroptions['only_best'], print_colorized)
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Hyperopt.print_results_explanation(val, total_epochs,
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not filteroptions['only_best'], print_colorized)
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except KeyboardInterrupt:
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except KeyboardInterrupt:
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print('User interrupted..')
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print('User interrupted..')
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@ -75,6 +69,12 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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print_json = config.get('print_json', False)
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no_header = config.get('hyperopt_show_no_header', False)
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trials_file = (config['user_data_dir'] /
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'hyperopt_results' / 'hyperopt_results.pickle')
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n = config.get('hyperopt_show_index', -1)
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filteroptions = {
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filteroptions = {
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'only_best': config.get('hyperopt_list_best', False),
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'only_best': config.get('hyperopt_list_best', False),
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'only_profitable': config.get('hyperopt_list_profitable', False),
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'only_profitable': config.get('hyperopt_list_profitable', False),
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@ -87,10 +87,6 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
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'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None),
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'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None),
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'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None)
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'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None)
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}
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}
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no_header = config.get('hyperopt_show_no_header', False)
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trials_file = (config['user_data_dir'] /
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'hyperopt_results' / 'hyperopt_results.pickle')
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# Previous evaluations
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# Previous evaluations
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trials = Hyperopt.load_previous_results(trials_file)
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trials = Hyperopt.load_previous_results(trials_file)
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@ -99,7 +95,6 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
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trials = _hyperopt_filter_trials(trials, filteroptions)
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trials = _hyperopt_filter_trials(trials, filteroptions)
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trials_epochs = len(trials)
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trials_epochs = len(trials)
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n = config.get('hyperopt_show_index', -1)
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if n > trials_epochs:
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if n > trials_epochs:
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raise OperationalException(
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raise OperationalException(
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f"The index of the epoch to show should be less than {trials_epochs + 1}.")
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f"The index of the epoch to show should be less than {trials_epochs + 1}.")
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@ -111,8 +106,6 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
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if n > 0:
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if n > 0:
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n -= 1
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n -= 1
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print_json = config.get('print_json', False)
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if trials:
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if trials:
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val = trials[n]
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val = trials[n]
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Hyperopt.print_epoch_details(val, total_epochs, print_json, no_header,
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Hyperopt.print_epoch_details(val, total_epochs, print_json, no_header,
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@ -20,7 +20,8 @@ from colorama import Fore, Style
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from colorama import init as colorama_init
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from colorama import init as colorama_init
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from joblib import (Parallel, cpu_count, delayed, dump, load,
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from joblib import (Parallel, cpu_count, delayed, dump, load,
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wrap_non_picklable_objects)
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wrap_non_picklable_objects)
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from pandas import DataFrame
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from pandas import DataFrame, json_normalize, isna
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from tabulate import tabulate
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from freqtrade.data.converter import trim_dataframe
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from freqtrade.data.converter import trim_dataframe
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from freqtrade.data.history import get_timerange
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from freqtrade.data.history import get_timerange
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@ -296,6 +297,56 @@ class Hyperopt:
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f"{results['results_explanation']} " +
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f"{results['results_explanation']} " +
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f"Objective: {results['loss']:.5f}")
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f"Objective: {results['loss']:.5f}")
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@staticmethod
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def print_result_table(config: dict, results: list, total_epochs: int, highlight_best: bool,
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print_colorized: bool) -> None:
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"""
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Log result table
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"""
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if not results:
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return
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trials = json_normalize(results, max_level=1)
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trials['Best'] = ''
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trials = trials[['Best', 'current_epoch', 'results_metrics.trade_count',
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'results_metrics.avg_profit', 'results_metrics.total_profit',
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'results_metrics.profit', 'results_metrics.duration',
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'loss', 'is_initial_point', 'is_best']]
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trials.columns = ['Best', 'Epoch', 'Trades', 'Avg profit', 'Total profit',
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'Profit', 'Avg duration', 'Objective', 'is_initial_point', 'is_best']
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trials['is_profit'] = False
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trials.loc[trials['is_initial_point'], 'Best'] = '*'
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trials.loc[trials['is_best'], 'Best'] = 'Best'
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trials['Objective'] = trials['Objective'].astype(str)
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trials.loc[trials['Total profit'] > 0, 'is_profit'] = True
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trials['Trades'] = trials['Trades'].astype(str)
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trials['Epoch'] = trials['Epoch'].apply(
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lambda x: "{}/{}".format(x, total_epochs))
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trials['Avg profit'] = trials['Avg profit'].apply(
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lambda x: '{:,.2f}%'.format(x) if not isna(x) else x)
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trials['Profit'] = trials['Profit'].apply(
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lambda x: '{:,.2f}%'.format(x) if not isna(x) else x)
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trials['Total profit'] = trials['Total profit'].apply(
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lambda x: '{: 11.8f} '.format(x) + config['stake_currency'] if not isna(x) else x)
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trials['Avg duration'] = trials['Avg duration'].apply(
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lambda x: '{:,.1f}m'.format(x) if not isna(x) else x)
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if print_colorized:
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for i in range(len(trials)):
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if trials.loc[i]['is_profit']:
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for z in range(len(trials.loc[i])-3):
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trials.iat[i, z] = "{}{}{}".format(Fore.GREEN,
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str(trials.loc[i][z]), Fore.RESET)
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if trials.loc[i]['is_best'] and highlight_best:
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for z in range(len(trials.loc[i])-3):
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trials.iat[i, z] = "{}{}{}".format(Style.BRIGHT,
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str(trials.loc[i][z]), Style.RESET_ALL)
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trials = trials.drop(columns=['is_initial_point', 'is_best', 'is_profit'])
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print(tabulate(trials.to_dict(orient='list'), headers='keys', tablefmt='psql',
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stralign="right"))
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def has_space(self, space: str) -> bool:
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def has_space(self, space: str) -> bool:
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"""
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"""
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Tell if the space value is contained in the configuration
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Tell if the space value is contained in the configuration
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@ -779,6 +779,20 @@ def test_hyperopt_list(mocker, capsys, hyperopt_results):
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assert all(x not in captured.out
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assert all(x not in captured.out
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for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
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for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
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" 11/12", " 12/12"])
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" 11/12", " 12/12"])
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args = [
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"hyperopt-list",
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"--profitable"
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]
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pargs = get_args(args)
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pargs['config'] = None
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start_hyperopt_list(pargs)
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captured = capsys.readouterr()
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assert all(x in captured.out
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for x in [" 2/12", " 10/12", "Best result:", "Buy hyperspace params",
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"Sell hyperspace params", "ROI table", "Stoploss"])
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assert all(x not in captured.out
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for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
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" 11/12", " 12/12"])
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args = [
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args = [
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"hyperopt-list",
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"hyperopt-list",
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"--no-details",
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"--no-details",
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