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Update app.py
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app.py
CHANGED
@@ -306,7 +306,7 @@ with tab1:
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Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))
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# Type Casting
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type_cast_dict = {'salary': int, 'proj': np.float16, 'Fantasy': np.float16, 'GPP_Proj': np.float32}
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Sim_Winner_Frame = Sim_Winner_Frame.astype(type_cast_dict)
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# Sorting
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@@ -344,7 +344,7 @@ with tab1:
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Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))
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# Type Casting
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-
type_cast_dict = {'salary': int, 'proj': np.float16, 'Fantasy': np.float16, 'GPP_Proj': np.float32}
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Sim_Winner_Frame = Sim_Winner_Frame.astype(type_cast_dict)
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# Sorting
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Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))
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# Type Casting
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type_cast_dict = {'salary': int, 'proj': np.float16, 'Fantasy': np.float16, 'GPP_Proj': np.float32, 'Own': np.float32}
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Sim_Winner_Frame = Sim_Winner_Frame.astype(type_cast_dict)
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# Sorting
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Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))
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# Type Casting
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+
type_cast_dict = {'salary': int, 'proj': np.float16, 'Fantasy': np.float16, 'GPP_Proj': np.float32, 'Own': np.float32}
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Sim_Winner_Frame = Sim_Winner_Frame.astype(type_cast_dict)
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# Sorting
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