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Update app.py
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app.py
CHANGED
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@@ -19,8 +19,9 @@ async()=>{
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}
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"""
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def get_ans(
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plt.close()
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tickers = yf.Tickers(inp)
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x = tickers.tickers[inp].history(period="15y")
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df = x
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@@ -115,10 +116,10 @@ def get_ans("GOOG"):
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df3['Values'] = [i * the_max for i in df3['Values']]
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return plt, gr.update(visible=True,value=df, x="Date",y="Open", height=500, width=800),gr.update(visible=True,value=df[-300:], x="Date",y="Open", height=500, width=800),gr.update(visible=True,value=df[-30:], x="Date",y="Open", height=500, width=800), max(np.asarray(df['Open'])), min(np.asarray(df['Open'])), max(np.asarray(df['Open'])[-300:]), min(np.asarray(df['Open'][-300:])), max(np.asarray(df['Open'])[-30:]), min(np.asarray(df['Open'][-30:])), (max(np.asarray(df['Open']))) * (lst_output["Values"][0]), gr.update(visible=True,value=lst_output, x="index",y="Values", height=500, width=800), gr.update(visible=True,value=df3, x="index",y="Values", height=500, width=800), gr.update(visible=True,value=df3[-300:], x="index",y="Values", height=500, width=800)
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def get_seo(
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plt.close()
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time_step = 100
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-
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tickers = yf.Tickers(inp)
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x = tickers.tickers[inp].history(period="15y")
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df = x
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@@ -154,7 +155,8 @@ def get_seo("GOOG"):
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return gr.update(visible=True, value=z, x='index', y='Values', height=500, width=800), gr.update(visible=True, value=y[:100], x='index', y='Values', height=500, width=800), gr.update(visible=True, value=a, x='index', y='Values', height=500, width=800)
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def get_info(
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tickers = yf.Ticker(inp)
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info = tickers.info
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balance = tickers.balance_sheet
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}
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"""
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def get_ans():
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plt.close()
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inp = "GOOG"
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tickers = yf.Tickers(inp)
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x = tickers.tickers[inp].history(period="15y")
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df = x
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df3['Values'] = [i * the_max for i in df3['Values']]
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return plt, gr.update(visible=True,value=df, x="Date",y="Open", height=500, width=800),gr.update(visible=True,value=df[-300:], x="Date",y="Open", height=500, width=800),gr.update(visible=True,value=df[-30:], x="Date",y="Open", height=500, width=800), max(np.asarray(df['Open'])), min(np.asarray(df['Open'])), max(np.asarray(df['Open'])[-300:]), min(np.asarray(df['Open'][-300:])), max(np.asarray(df['Open'])[-30:]), min(np.asarray(df['Open'][-30:])), (max(np.asarray(df['Open']))) * (lst_output["Values"][0]), gr.update(visible=True,value=lst_output, x="index",y="Values", height=500, width=800), gr.update(visible=True,value=df3, x="index",y="Values", height=500, width=800), gr.update(visible=True,value=df3[-300:], x="index",y="Values", height=500, width=800)
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def get_seo():
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plt.close()
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time_step = 100
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inp = "GOOG"
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tickers = yf.Tickers(inp)
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x = tickers.tickers[inp].history(period="15y")
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df = x
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return gr.update(visible=True, value=z, x='index', y='Values', height=500, width=800), gr.update(visible=True, value=y[:100], x='index', y='Values', height=500, width=800), gr.update(visible=True, value=a, x='index', y='Values', height=500, width=800)
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def get_info():
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inp = "GOOG"
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tickers = yf.Ticker(inp)
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info = tickers.info
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balance = tickers.balance_sheet
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