adelorenzo/stable
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Merge pull request #2943 from Fredrik81/add-print-table

Browse Source 
Added function to print hyperopt-list as table using tabulate
This commit is contained in:
hroff-1902
2020-02-27 05:22:41 +03:00
committed by GitHub
parent 30b0911645 cd7efde6c0
commit 893d9cde8d
3 changed files with 74 additions and 16 deletions
Download Patch File Download Diff File Expand all files Collapse all files

53
freqtrade/optimize/hyperopt.py
View File

@@ -20,7 +20,8 @@ from colorama import Fore, Style
from colorama import init as colorama_init
from joblib import (Parallel, cpu_count, delayed, dump, load,
wrap_non_picklable_objects)
from pandas import DataFrame
from pandas import DataFrame, json_normalize, isna
from tabulate import tabulate
from freqtrade.data.converter import trim_dataframe
from freqtrade.data.history import get_timerange
@@ -296,6 +297,56 @@ class Hyperopt:
f"{results['results_explanation']} " +
f"Objective: {results['loss']:.5f}")
@staticmethod
def print_result_table(config: dict, results: list, total_epochs: int, highlight_best: bool,
print_colorized: bool) -> None:
"""
Log result table
"""
if not results:
return
trials = json_normalize(results, max_level=1)
trials['Best'] = ''
trials = trials[['Best', 'current_epoch', 'results_metrics.trade_count',
'results_metrics.avg_profit', 'results_metrics.total_profit',
'results_metrics.profit', 'results_metrics.duration',
'loss', 'is_initial_point', 'is_best']]
trials.columns = ['Best', 'Epoch', 'Trades', 'Avg profit', 'Total profit',
'Profit', 'Avg duration', 'Objective', 'is_initial_point', 'is_best']
trials['is_profit'] = False
trials.loc[trials['is_initial_point'], 'Best'] = '*'
trials.loc[trials['is_best'], 'Best'] = 'Best'
trials['Objective'] = trials['Objective'].astype(str)
trials.loc[trials['Total profit'] > 0, 'is_profit'] = True
trials['Trades'] = trials['Trades'].astype(str)
trials['Epoch'] = trials['Epoch'].apply(
lambda x: "{}/{}".format(x, total_epochs))
trials['Avg profit'] = trials['Avg profit'].apply(
lambda x: '{:,.2f}%'.format(x) if not isna(x) else x)
trials['Profit'] = trials['Profit'].apply(
lambda x: '{:,.2f}%'.format(x) if not isna(x) else x)
trials['Total profit'] = trials['Total profit'].apply(
lambda x: '{: 11.8f} '.format(x) + config['stake_currency'] if not isna(x) else x)
trials['Avg duration'] = trials['Avg duration'].apply(
lambda x: '{:,.1f}m'.format(x) if not isna(x) else x)
if print_colorized:
for i in range(len(trials)):
if trials.loc[i]['is_profit']:
for z in range(len(trials.loc[i])-3):
trials.iat[i, z] = "{}{}{}".format(Fore.GREEN,
str(trials.loc[i][z]), Fore.RESET)
if trials.loc[i]['is_best'] and highlight_best:
for z in range(len(trials.loc[i])-3):
trials.iat[i, z] = "{}{}{}".format(Style.BRIGHT,
str(trials.loc[i][z]), Style.RESET_ALL)
trials = trials.drop(columns=['is_initial_point', 'is_best', 'is_profit'])
print(tabulate(trials.to_dict(orient='list'), headers='keys', tablefmt='psql',
stralign="right"))
def has_space(self, space: str) -> bool:
"""
Tell if the space value is contained in the configuration