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@@ -173,8 +173,7 @@ async def get_trend_image(kw_id):
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# create an array of numbers for the dates
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x_dates = np.array([dates.date2num(i) for i in x])
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- print(x)
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- print(kw)
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+
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# create more uniform intervals in x axis and use spline to interpolate data
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x_smooth = np.linspace(x_dates.min(), x_dates.max(), 200)
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#y_smooth = spline(x_dates, y, x_smooth)
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@@ -189,8 +188,7 @@ async def get_trend_image(kw_id):
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plt.plot(x_new, y_smooth)
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target_path = 'trend_image/'+kw+'.png'
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plt.savefig(target_path)
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- plt.savefig(target_path, bbox_inches='tight') #存檔，第二個參數表示把圖表外多餘的空間刪除
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-
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+
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return FileResponse(target_path)
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