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pytrendseries's Issues

'pytrendseries' has no attribute 'detecttrend'

import pandas as pd

df= pd.read_csv(r'..\stock.csv',header=0,index_col=0)

df.index = pd.to_datetime(df.index)
df=pd.DataFrame(df['close'])

import pytrendseries

trend = "downtrend"
window = 126 #6 months

trends_detected = pytrendseries.detecttrend(df, trend=trend, window=window)

Traceback (most recent call last):
File "XXXX\Desktop\pytrendseries.py", line 8, in
import pytrendseries
File "XXX\Desktop\pytrendseries.py", line 13, in
trends_detected = pytrendseries.detecttrend(df, trend=trend, window=window)
AttributeError: partially initialized module 'pytrendseries' has no attribute 'detecttrend' (most likely due to a circular import)

ZeroDivisionError

filtered_data=pd.read_csv('test.csv')
trends_detected = pytrendseries.detecttrend(filtered_data, trend='uptrend')

test.csv

{
	"name": "ZeroDivisionError",
	"message": "division by zero",
	"stack": "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)\nCell \u001b[1;32mIn[57], line 13\u001b[0m\n\u001b[0;32m     10\u001b[0m \u001b[38;5;28mprint\u001b[39m(filtered_data)\n\u001b[0;32m     11\u001b[0m filtered_data\u001b[38;5;241m.\u001b[39mto_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtest.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m---> 13\u001b[0m trends_detected \u001b[38;5;241m=\u001b[39m \u001b[43mpytrendseries\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdetecttrend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfiltered_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43muptrend\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m     17\u001b[0m pytrendseries\u001b[38;5;241m.\u001b[39mplot_evolution(lumadata, figsize \u001b[38;5;241m=\u001b[39m (\u001b[38;5;241m10\u001b[39m,\u001b[38;5;241m4\u001b[39m), colors\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgray\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mred\u001b[39m\u001b[38;5;124m\"\u001b[39m], alphas\u001b[38;5;241m=\u001b[39m[\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m0.6\u001b[39m])\n\u001b[0;32m     19\u001b[0m filtered_data\u001b[38;5;241m=\u001b[39mlumadata\n\nFile \u001b[1;32md:\\Programs\\miniconda\\Lib\\site-packages\\pytrendseries\\detecttrend.py:225\u001b[0m, in \u001b[0;36mdetecttrend\u001b[1;34m(df_prices, trend, limit, window, **kwargs)\u001b[0m\n\u001b[0;32m    219\u001b[0m     getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdrawdown\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m    220\u001b[0m         \u001b[38;5;28mabs\u001b[39m(getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice0\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[x] \u001b[38;5;241m-\u001b[39m getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice1\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[x])\n\u001b[0;32m    221\u001b[0m         \u001b[38;5;241m/\u001b[39m \u001b[38;5;28mmax\u001b[39m(getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice0\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[x], getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice1\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[x])\n\u001b[0;32m    222\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(getTrend2\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m])\n\u001b[0;32m    223\u001b[0m     ]\n\u001b[0;32m    224\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m trend \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muptrend\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m--> 225\u001b[0m     getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdrawup\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43m[\u001b[49m\n\u001b[0;32m    226\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mabs\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice0\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    227\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43mmin\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice0\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    228\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mrange\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshape\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    229\u001b[0m \u001b[43m    \u001b[49m\u001b[43m]\u001b[49m\n\u001b[0;32m    231\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTrends detected in \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m secs\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;28mround\u001b[39m((time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m-\u001b[39m start), \u001b[38;5;241m2\u001b[39m)))\n\u001b[0;32m    232\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m getTrend2\u001b[38;5;241m.\u001b[39msort_values(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfrom\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\nFile \u001b[1;32md:\\Programs\\miniconda\\Lib\\site-packages\\pytrendseries\\detecttrend.py:226\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    219\u001b[0m     getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdrawdown\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m    220\u001b[0m         \u001b[38;5;28mabs\u001b[39m(getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice0\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[x] \u001b[38;5;241m-\u001b[39m getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice1\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[x])\n\u001b[0;32m    221\u001b[0m         \u001b[38;5;241m/\u001b[39m \u001b[38;5;28mmax\u001b[39m(getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice0\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[x], getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprice1\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[x])\n\u001b[0;32m    222\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(getTrend2\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m])\n\u001b[0;32m    223\u001b[0m     ]\n\u001b[0;32m    224\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m trend \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muptrend\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m    225\u001b[0m     getTrend2[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdrawup\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m--> 226\u001b[0m         \u001b[38;5;28;43mabs\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice0\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    227\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43mmin\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice0\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgetTrend2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mprice1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43mx\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    228\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(getTrend2\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m])\n\u001b[0;32m    229\u001b[0m     ]\n\u001b[0;32m    231\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTrends detected in \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m secs\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;28mround\u001b[39m((time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m-\u001b[39m start), \u001b[38;5;241m2\u001b[39m)))\n\u001b[0;32m    232\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m getTrend2\u001b[38;5;241m.\u001b[39msort_values(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfrom\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\n\u001b[1;31mZeroDivisionError\u001b[0m: division by zero"
}

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