{"id":17125,"date":"2022-10-23T05:18:29","date_gmt":"2022-10-22T23:48:29","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-detect-sign-changes-in-an-array-closed\/"},"modified":"2022-10-23T05:18:29","modified_gmt":"2022-10-22T23:48:29","slug":"solved-detect-sign-changes-in-an-array-closed","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-detect-sign-changes-in-an-array-closed\/","title":{"rendered":"[Solved] Detect sign changes in an array [closed]"},"content":{"rendered":"

[ad_1]
\n<\/p>\n

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<\/div>\n
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\n

This is a simple code that resolve your problem\/exemple:<\/p>\n

l = [ 1, 2, 6, -3, -2, -5, 6, 7, 1, -1, -3]\nfor i in range(0, len(l)-1):\n    p = l[i] * l[i+1]\n    if p > 0:\n        print('ok')\n    elif l[i+1] < 0:\n        print('sell')\n    else:\n        print('buy')\n<\/code><\/pre>\n
And if you want a new column in your dataframe, this is an example for you:<\/p>\n
d = {'col1': range(11), 'col2': [ 1, 2, 6, -3, -2, -5, 6, 7, 1, -1, -3]}\ndf = pd.DataFrame(data=d)\ndf['shift_col'] = df.col2.shift(-1)\n\ndf\ncol1    col2    shift_col\n0   0   1   2.0\n1   1   2   6.0\n2   2   6   -3.0\n3   3   -3  -2.0\n4   4   -2  -5.0\n5   5   -5  6.0\n6   6   6   7.0\n7   7   7   1.0\n8   8   1   -1.0\n9   9   -1  -3.0\n10  10  -3  NaN\n<\/code><\/pre>\n
and this is a our simple function in the previous example:<\/p>\n
def compare(line):\n    p = line.col2 * line.shift_col\n    if p > 0:\n        return 'ok'\n    elif line.shift_col < 0:\n        return 'sell'\n    else:\n        return 'buy'\n        \ndf['order'] = df.apply(compare, axis=1)\n<\/code><\/pre>\n
Finaly, this will be the result:<\/p>\n
col1    col2    shift_col   order\n0   0   1   2.0 ok\n1   1   2   6.0 ok\n2   2   6   -3.0    sell\n3   3   -3  -2.0    ok\n4   4   -2  -5.0    ok\n5   5   -5  6.0 buy\n6   6   6   7.0 ok\n7   7   7   1.0 ok\n8   8   1   -1.0    sell\n9   9   -1  -3.0    ok\n10  10  -3  NaN buy\n<\/code><\/pre>\n<\/p><\/div>\n
<\/div>\n<\/div>\n
            7<\/span> <\/p><\/div>\n<\/div>\n
[ad_2]<\/p>\n
solved Detect sign changes in an array [closed] <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] This is a simple code that resolve your problem\/exemple: l = [ 1, 2, 6, -3, -2, -5, 6, 7, 1, -1, -3] for i in range(0, len(l)-1): p = l[i] * l[i+1] if p > 0: print(‘ok’) elif l[i+1] < 0: print(‘sell’) else: print(‘buy’) And if you want a new column in your … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[415,349],"class_list":["post-17125","post","type-post","status-publish","format-standard","hentry","category-solved","tag-pandas","tag-python"],"yoast_head":"\n[Solved] Detect sign changes in an array [closed] - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-detect-sign-changes-in-an-array-closed\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Detect sign changes in an array [closed] - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] This is a simple code that resolve your problem\/exemple: l = [ 1, 2, 6, -3, -2, -5, 6, 7, 1, -1, -3] for i in range(0, len(l)-1): p = l[i] * l[i+1] if p > 0: print('ok') elif l[i+1] < 0: print('sell') else: print('buy') And if you want a new column in your ... 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