Code style improvements

This commit is contained in:
Matthias 2024-01-24 20:25:25 +01:00
parent 6aa4de4d29
commit 0077f3c9a5
3 changed files with 9 additions and 6 deletions

View File

@ -255,7 +255,7 @@ class FreqaiDataKitchen:
if (1 - len(filtered_df) / len(unfiltered_df)) > 0.1 and self.live:
worst_indicator = str(unfiltered_df.count().idxmin())
logger.warning(
f" {(1 - len(filtered_df)/len(unfiltered_df)) * 100:.0f} percent "
f" {(1 - len(filtered_df) / len(unfiltered_df)) * 100:.0f} percent "
" of training data dropped due to NaNs, model may perform inconsistent "
f"with expectations. Verify {worst_indicator}"
)

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@ -1346,7 +1346,7 @@ class Telegram(RPCHandler):
output = "<b>Performance:</b>\n"
for i, trade in enumerate(trades):
stat_line = (
f"{i+1}.\t <code>{trade['pair']}\t"
f"{i + 1}.\t <code>{trade['pair']}\t"
f"{fmt_coin(trade['profit_abs'], self._config['stake_currency'])} "
f"({trade['profit_ratio']:.2%}) "
f"({trade['count']})</code>\n")
@ -1378,7 +1378,7 @@ class Telegram(RPCHandler):
output = "<b>Entry Tag Performance:</b>\n"
for i, trade in enumerate(trades):
stat_line = (
f"{i+1}.\t <code>{trade['enter_tag']}\t"
f"{i + 1}.\t <code>{trade['enter_tag']}\t"
f"{fmt_coin(trade['profit_abs'], self._config['stake_currency'])} "
f"({trade['profit_ratio']:.2%}) "
f"({trade['count']})</code>\n")
@ -1410,7 +1410,7 @@ class Telegram(RPCHandler):
output = "<b>Exit Reason Performance:</b>\n"
for i, trade in enumerate(trades):
stat_line = (
f"{i+1}.\t <code>{trade['exit_reason']}\t"
f"{i + 1}.\t <code>{trade['exit_reason']}\t"
f"{fmt_coin(trade['profit_abs'], self._config['stake_currency'])} "
f"({trade['profit_ratio']:.2%}) "
f"({trade['count']})</code>\n")
@ -1442,7 +1442,7 @@ class Telegram(RPCHandler):
output = "<b>Mix Tag Performance:</b>\n"
for i, trade in enumerate(trades):
stat_line = (
f"{i+1}.\t <code>{trade['mix_tag']}\t"
f"{i + 1}.\t <code>{trade['mix_tag']}\t"
f"{fmt_coin(trade['profit_abs'], self._config['stake_currency'])} "
f"({trade['profit_ratio']:.2%}) "
f"({trade['count']})</code>\n")

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@ -118,7 +118,10 @@ def generate_trades_history(n_rows, start_date: Optional[datetime] = None, days=
random_timestamps_in_seconds = np.random.uniform(_start_timestamp, _end_timestamp, n_rows)
timestamp = pd.to_datetime(random_timestamps_in_seconds, unit='s')
id = [f'a{np.random.randint(1e6, 1e7-1)}cd{np.random.randint(100, 999)}' for _ in range(n_rows)]
id = [
f'a{np.random.randint(1e6, 1e7 - 1)}cd{np.random.randint(100, 999)}'
for _ in range(n_rows)
]
side = np.random.choice(['buy', 'sell'], n_rows)