python 无法识别 pandas_ta 模块
python not recognizing pandas_ta module
import requests
import pandas as pd
import pandas_ta as ta
def stochFourMonitor():
k_period = 14
d_period = 3
data = get_data('BTC-PERP',14400,1642935495,1643165895)
print(data)
data = data['result']
df = pd.DataFrame(data)
df['trailingHigh'] = df['high'].rolling(k_period).max()
df['trailingLow'] = df['low'].rolling(k_period).min()
df['%K'] = (df['close'] - df['trailingLow']) * 100 / (df['trailingHigh'] - df['trailingLow'])
df['%D'] = df['%K'].rolling(d_period).mean()
df.index.name = 'test'
df.set_index(pd.DatetimeIndex(df["startTime"]), inplace=True)
print(df)
df.drop(columns=['startTime'])
print(df)
df.ta.stoch(high='High', low='Low',close= 'Close', k=14, d=3, append=True)
#t = ta.stoch(close='close',high='high', low='low', k=14, d=3, append=True)
#df.ta.stoch(close='close',high='high', low='low', k=14, d=3, append=True)
def get_data(marketName,resolution,start_time,end_time):
data = requests.get('https://ftx.com/api/markets/' + marketName + '/candles?resolution=' + str(resolution) + '&start_time=' + str(start_time) + '&end_time=' + str(end_time)).json()
return data
我一直收到错误 'NoneType' 对象没有属性 'name'。请参阅下面的完整例外。代码似乎无法识别 pandas_ta 模块，但我不明白为什么。非常感谢任何帮助故障排除。
发生异常：AttributeError（注意：显示了完整的异常跟踪，但执行暂停于：）
'NoneType' 对象没有属性 'name'
文件“C:\Users\Jason\Documents\TradingCode\FTX Websocket\testing21.py”，第 21 行，在 stochFourMonitor 中
df.ta.stoch(high='High', low='Low', close= 'Close', k=14, d=3, append=True)
文件“C:\Users\Jason\Documents\TradingCode\FTX Websocket\testing21.py”，第 31 行，在（当前帧）
stochFourMonitor()
您的数据框中的值必须很少。您至少需要 17 个值 (k=14, d=3)
>>> pd.Timestamp(1642935495, unit='s')
Timestamp('2022-01-23 10:58:15')
>>> pd.Timestamp(1643165895, unit='s')
Timestamp('2022-01-26 02:58:15')
>>> pd.DataFrame(get_data('BTC-PERP',14400,1642935495,1643165895)['result'])
0 2022-01-23T12:00:00+00:00 1.642939e+12 35690.0 36082.0 35000.0 35306.0 6.315513e+08
1 2022-01-23T16:00:00+00:00 1.642954e+12 35306.0 35460.0 34601.0 34785.0 7.246238e+08
2 2022-01-23T20:00:00+00:00 1.642968e+12 34785.0 36551.0 34712.0 36271.0 9.663773e+08
3 2022-01-24T00:00:00+00:00 1.642982e+12 36271.0 36283.0 35148.0 35351.0 6.007333e+08
4 2022-01-24T04:00:00+00:00 1.642997e+12 35351.0 35511.0 34821.0 34896.0 5.554126e+08
5 2022-01-24T08:00:00+00:00 1.643011e+12 34895.0 35610.0 33033.0 33709.0 1.676436e+09
6 2022-01-24T12:00:00+00:00 1.643026e+12 33709.0 34399.0 32837.0 34260.0 2.021096e+09
7 2022-01-24T16:00:00+00:00 1.643040e+12 34261.0 36493.0 33800.0 36101.0 1.989552e+09
8 2022-01-24T20:00:00+00:00 1.643054e+12 36101.0 37596.0 35990.0 36673.0 1.202684e+09
9 2022-01-25T00:00:00+00:00 1.643069e+12 36673.0 36702.0 35974.0 36431.0 4.538093e+08
10 2022-01-25T04:00:00+00:00 1.643083e+12 36431.0 36500.0 35719.0 36067.0 3.514587e+08
11 2022-01-25T08:00:00+00:00 1.643098e+12 36067.0 36824.0 36030.0 36431.0 5.830712e+08
12 2022-01-25T12:00:00+00:00 1.643112e+12 36431.0 37200.0 35997.0 36568.0 9.992247e+08
13 2022-01-25T16:00:00+00:00 1.643126e+12 36568.0 37600.0 36532.0 37079.0 8.225219e+08
14 2022-01-25T20:00:00+00:00 1.643141e+12 37077.0 37140.0 36437.0 36980.0 7.892745e+08
15 2022-01-26T00:00:00+00:00 1.643155e+12 36980.0 37242.0 36567.0 37238.0 3.226400e+08
>>> pd.DataFrame(get_data('BTC-PERP',14400,1642935495,1643165895)['result'])
...
AttributeError: 'NoneType' object has no attribute 'name'
现在将 1642935495 ('2022-01-23 10:58:15') 更改为 1642845495 ('2022-01-22 10:58:15':
>>> pd.DataFrame(get_data('BTC-PERP',14400,1642845495,1643165895)['result']).ta.stoch()
STOCHk_14_3_3 STOCHd_14_3_3
13 NaN NaN
14 NaN NaN
15 80.824814 NaN
16 74.665546 NaN
17 72.970512 76.153624
18 73.930097 73.855385
19 80.993469 75.964693
20 84.814444 79.912670
21 89.775352 85.194422
import requests
import pandas as pd
import pandas_ta as ta
def stochFourMonitor():
k_period = 14
d_period = 3
data = get_data('BTC-PERP',14400,1642935495,1643165895)
print(data)
data = data['result']
df = pd.DataFrame(data)
df['trailingHigh'] = df['high'].rolling(k_period).max()
df['trailingLow'] = df['low'].rolling(k_period).min()
df['%K'] = (df['close'] - df['trailingLow']) * 100 / (df['trailingHigh'] - df['trailingLow'])
df['%D'] = df['%K'].rolling(d_period).mean()
df.index.name = 'test'
df.set_index(pd.DatetimeIndex(df["startTime"]), inplace=True)
print(df)
df.drop(columns=['startTime'])
print(df)
df.ta.stoch(high='High', low='Low',close= 'Close', k=14, d=3, append=True)
#t = ta.stoch(close='close',high='high', low='low', k=14, d=3, append=True)
#df.ta.stoch(close='close',high='high', low='low', k=14, d=3, append=True)
def get_data(marketName,resolution,start_time,end_time):
data = requests.get('https://ftx.com/api/markets/' + marketName + '/candles?resolution=' + str(resolution) + '&start_time=' + str(start_time) + '&end_time=' + str(end_time)).json()
return data
我一直收到错误 'NoneType' 对象没有属性 'name'。请参阅下面的完整例外。代码似乎无法识别 pandas_ta 模块，但我不明白为什么。非常感谢任何帮助故障排除。
发生异常：AttributeError（注意：显示了完整的异常跟踪，但执行暂停于：） 'NoneType' 对象没有属性 'name' 文件“C:\Users\Jason\Documents\TradingCode\FTX Websocket\testing21.py”，第 21 行，在 stochFourMonitor 中 df.ta.stoch(high='High', low='Low', close= 'Close', k=14, d=3, append=True) 文件“C:\Users\Jason\Documents\TradingCode\FTX Websocket\testing21.py”，第 31 行，在（当前帧） stochFourMonitor()
您的数据框中的值必须很少。您至少需要 17 个值 (k=14, d=3)
>>> pd.Timestamp(1642935495, unit='s')
Timestamp('2022-01-23 10:58:15')
>>> pd.Timestamp(1643165895, unit='s')
Timestamp('2022-01-26 02:58:15')
>>> pd.DataFrame(get_data('BTC-PERP',14400,1642935495,1643165895)['result'])
0 2022-01-23T12:00:00+00:00 1.642939e+12 35690.0 36082.0 35000.0 35306.0 6.315513e+08
1 2022-01-23T16:00:00+00:00 1.642954e+12 35306.0 35460.0 34601.0 34785.0 7.246238e+08
2 2022-01-23T20:00:00+00:00 1.642968e+12 34785.0 36551.0 34712.0 36271.0 9.663773e+08
3 2022-01-24T00:00:00+00:00 1.642982e+12 36271.0 36283.0 35148.0 35351.0 6.007333e+08
4 2022-01-24T04:00:00+00:00 1.642997e+12 35351.0 35511.0 34821.0 34896.0 5.554126e+08
5 2022-01-24T08:00:00+00:00 1.643011e+12 34895.0 35610.0 33033.0 33709.0 1.676436e+09
6 2022-01-24T12:00:00+00:00 1.643026e+12 33709.0 34399.0 32837.0 34260.0 2.021096e+09
7 2022-01-24T16:00:00+00:00 1.643040e+12 34261.0 36493.0 33800.0 36101.0 1.989552e+09
8 2022-01-24T20:00:00+00:00 1.643054e+12 36101.0 37596.0 35990.0 36673.0 1.202684e+09
9 2022-01-25T00:00:00+00:00 1.643069e+12 36673.0 36702.0 35974.0 36431.0 4.538093e+08
10 2022-01-25T04:00:00+00:00 1.643083e+12 36431.0 36500.0 35719.0 36067.0 3.514587e+08
11 2022-01-25T08:00:00+00:00 1.643098e+12 36067.0 36824.0 36030.0 36431.0 5.830712e+08
12 2022-01-25T12:00:00+00:00 1.643112e+12 36431.0 37200.0 35997.0 36568.0 9.992247e+08
13 2022-01-25T16:00:00+00:00 1.643126e+12 36568.0 37600.0 36532.0 37079.0 8.225219e+08
14 2022-01-25T20:00:00+00:00 1.643141e+12 37077.0 37140.0 36437.0 36980.0 7.892745e+08
15 2022-01-26T00:00:00+00:00 1.643155e+12 36980.0 37242.0 36567.0 37238.0 3.226400e+08
>>> pd.DataFrame(get_data('BTC-PERP',14400,1642935495,1643165895)['result'])
...
AttributeError: 'NoneType' object has no attribute 'name'
现在将 1642935495 ('2022-01-23 10:58:15') 更改为 1642845495 ('2022-01-22 10:58:15':
>>> pd.DataFrame(get_data('BTC-PERP',14400,1642845495,1643165895)['result']).ta.stoch()
STOCHk_14_3_3 STOCHd_14_3_3
13 NaN NaN
14 NaN NaN
15 80.824814 NaN
16 74.665546 NaN
17 72.970512 76.153624
18 73.930097 73.855385
19 80.993469 75.964693
20 84.814444 79.912670
21 89.775352 85.194422