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Update app.py
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app.py
CHANGED
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@@ -5,7 +5,7 @@ from io import BytesIO
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from PIL import Image
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import pandas as pd
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def validate_inputs(A, B, C, AB, AC, BC, ABC
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union_ABC = A + B + C - AB - AC - BC + ABC
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errors = []
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@@ -25,7 +25,7 @@ def validate_inputs(A, B, C, AB, AC, BC, ABC, U):
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errors.append(f"A鈭〣鈭〤 ({ABC}) no puede ser mayor que B鈭〤 ({BC}).")
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return errors
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def suggest_intersections(A, B, C, AB, AC, BC, ABC
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union_ABC = A + B + C - AB - AC - BC + ABC
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min_AB = min(A, B, ABC)
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@@ -45,7 +45,7 @@ def suggest_intersections(A, B, C, AB, AC, BC, ABC, U):
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}
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return suggestions
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def calculate_probabilities(A, B, C, AB, AC, BC, ABC
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total = U if U > 0 else (A + B + C - AB - AC - BC + ABC)
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if total == 0:
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return {
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@@ -119,7 +119,7 @@ def calculate_probabilities(A, B, C, AB, AC, BC, ABC, U):
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df = pd.DataFrame(list(formatted_probs.items()), columns=["Descripci贸n", "Valor"])
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return df
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def draw_venn(A, B, C, AB, AC, BC, ABC
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plt.figure(figsize=(10,10))
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venn = venn3(subsets=(max(0, A - AB - AC + ABC), max(0,B - AB - BC + ABC), max(0,AB - ABC), max(0,C- AC - BC + ABC), max(AC - ABC, 0), max(BC - ABC,0), ABC), set_labels=('A', 'B', 'C'))
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img = BytesIO()
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@@ -129,15 +129,15 @@ def draw_venn(A, B, C, AB, AC, BC, ABC, U):
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image = Image.open(img)
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return image
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def main(A, B, C, AB, AC, BC, ABC
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errors = validate_inputs(A, B, C, AB, AC, BC, ABC
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if errors:
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# Devolver None para la imagen y el DataFrame si hay errores
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return None, pd.DataFrame({"Errores de validaci贸n": errors}), {}
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venn_image = draw_venn(A, B, C, AB, AC, BC, ABC
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probabilities_df = calculate_probabilities(A, B, C, AB, AC, BC, ABC
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suggestions = suggest_intersections(A, B, C, AB, AC, BC, ABC
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return venn_image, probabilities_df, suggestions
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from PIL import Image
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import pandas as pd
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def validate_inputs(U, A, B, C, AB, AC, BC, ABC):
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union_ABC = A + B + C - AB - AC - BC + ABC
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errors = []
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errors.append(f"A鈭〣鈭〤 ({ABC}) no puede ser mayor que B鈭〤 ({BC}).")
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return errors
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def suggest_intersections(U, A, B, C, AB, AC, BC, ABC):
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union_ABC = A + B + C - AB - AC - BC + ABC
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min_AB = min(A, B, ABC)
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}
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return suggestions
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def calculate_probabilities(U, A, B, C, AB, AC, BC, ABC):
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total = U if U > 0 else (A + B + C - AB - AC - BC + ABC)
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if total == 0:
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return {
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df = pd.DataFrame(list(formatted_probs.items()), columns=["Descripci贸n", "Valor"])
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return df
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def draw_venn(U, A, B, C, AB, AC, BC, ABC):
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plt.figure(figsize=(10,10))
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venn = venn3(subsets=(max(0, A - AB - AC + ABC), max(0,B - AB - BC + ABC), max(0,AB - ABC), max(0,C- AC - BC + ABC), max(AC - ABC, 0), max(BC - ABC,0), ABC), set_labels=('A', 'B', 'C'))
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img = BytesIO()
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image = Image.open(img)
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return image
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def main(U, A, B, C, AB, AC, BC, ABC):
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errors = validate_inputs(U, A, B, C, AB, AC, BC, ABC)
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if errors:
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# Devolver None para la imagen y el DataFrame si hay errores
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return None, pd.DataFrame({"Errores de validaci贸n": errors}), {}
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venn_image = draw_venn(U, A, B, C, AB, AC, BC, ABC)
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probabilities_df = calculate_probabilities(U, A, B, C, AB, AC, BC, ABC)
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suggestions = suggest_intersections(U, A, B, C, AB, AC, BC, ABC)
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return venn_image, probabilities_df, suggestions
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