所以我試圖繪制 Heiken Ashi 蠟燭，然后我想在圖表上繪制它們。
到目前為止我的代碼：
def heikin_ashi():
historical_data = client.get_historical_klines(symbol=SYMBOL, interval=TIME_PERIOD, start_str="15 days ago UTC", klines_type=HistoricalKlinesType.FUTURES)
hist_df = pd.DataFrame(historical_data)
hist_df.columns = ['Open Time', 'Open', 'High', 'Low', 'Close', 'Volume', 'Close Time', 'Quote Asset Volume',
'Number of Trades', 'TB Base Volume', 'TB Quote Volume', 'Ignore']
hist_df['Open Time'] = pd.to_datetime(hist_df['Open Time']/1000, unit='s')
hist_df['Close Time'] = pd.to_datetime(hist_df['Close Time']/1000, unit='s')
df_HA = hist_df
df_HA['Close'] = (hist_df['Open'] hist_df['High'] hist_df['Low'] hist_df['Close']) / 4
# idx = df_HA.index.name
# df_HA.reset_index(inplace=True)
for i in range(0, len(hist_df)):
if i == 0:
df_HA['Open'][i] = ((hist_df['Open'][i] hist_df['Close'][i]) / 2)
else:
df_HA['Open'][i] = ((hist_df['Open'][i - 1] hist_df['Close'][i - 1]) / 2)
# if idx:
# df_HA.set_index(idx, inplace=True)
df_HA['High'] = hist_df[['Open', 'Close', 'High']].max(axis=1)
df_HA['Low'] = hist_df[['Open', 'Close', 'Low']].min(axis=1)
print(df_HA)
錯誤：
result[mask] = op(xrav[mask], y)
TypeError: unsupported operand type(s) for /: 'str' and 'int'
我也遇到了這個：
import pandas as pd
def heikin_ashi(df):
heikin_ashi_df = pd.DataFrame(index=df.index.values, columns=['open', 'high', 'low', 'close'])
heikin_ashi_df['close'] = (df['open'] df['high'] df['low'] df['close']) / 4
for i in range(len(df)):
if i == 0:
heikin_ashi_df.iat[0, 0] = df['open'].iloc[0]
else:
heikin_ashi_df.iat[i, 0] = (heikin_ashi_df.iat[i-1, 0] heikin_ashi_df.iat[i-1, 3]) / 2
heikin_ashi_df['high'] = heikin_ashi_df.loc[:, ['open', 'close']].join(df['high']).max(axis=1)
heikin_ashi_df['low'] = heikin_ashi_df.loc[:, ['open', 'close']].join(df['low']).min(axis=1)
return heikin_ashi_df
如何將上述代碼與我的資料一起使用？我是新手，所以我很困惑。如果有人可以為我提供適當的方法來做到這一點，我將不勝感激。
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標籤：Python 熊猫 matplotlib 币安