Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -5,7 +5,7 @@ from io import BytesIO
|
|
5 |
from PIL import Image
|
6 |
import pandas as pd
|
7 |
|
8 |
-
def validate_inputs(A, B, C, AB, AC, BC, ABC
|
9 |
union_ABC = A + B + C - AB - AC - BC + ABC
|
10 |
errors = []
|
11 |
|
@@ -25,7 +25,7 @@ def validate_inputs(A, B, C, AB, AC, BC, ABC, U):
|
|
25 |
errors.append(f"A鈭〣鈭〤 ({ABC}) no puede ser mayor que B鈭〤 ({BC}).")
|
26 |
|
27 |
return errors
|
28 |
-
def suggest_intersections(A, B, C, AB, AC, BC, ABC
|
29 |
union_ABC = A + B + C - AB - AC - BC + ABC
|
30 |
|
31 |
min_AB = min(A, B, ABC)
|
@@ -45,7 +45,7 @@ def suggest_intersections(A, B, C, AB, AC, BC, ABC, U):
|
|
45 |
}
|
46 |
return suggestions
|
47 |
|
48 |
-
def calculate_probabilities(A, B, C, AB, AC, BC, ABC
|
49 |
total = U if U > 0 else (A + B + C - AB - AC - BC + ABC)
|
50 |
if total == 0:
|
51 |
return {
|
@@ -119,7 +119,7 @@ def calculate_probabilities(A, B, C, AB, AC, BC, ABC, U):
|
|
119 |
df = pd.DataFrame(list(formatted_probs.items()), columns=["Descripci贸n", "Valor"])
|
120 |
return df
|
121 |
|
122 |
-
def draw_venn(A, B, C, AB, AC, BC, ABC
|
123 |
plt.figure(figsize=(10,10))
|
124 |
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'))
|
125 |
img = BytesIO()
|
@@ -129,15 +129,15 @@ def draw_venn(A, B, C, AB, AC, BC, ABC, U):
|
|
129 |
image = Image.open(img)
|
130 |
return image
|
131 |
|
132 |
-
def main(A, B, C, AB, AC, BC, ABC
|
133 |
-
errors = validate_inputs(A, B, C, AB, AC, BC, ABC
|
134 |
if errors:
|
135 |
# Devolver None para la imagen y el DataFrame si hay errores
|
136 |
return None, pd.DataFrame({"Errores de validaci贸n": errors}), {}
|
137 |
|
138 |
-
venn_image = draw_venn(A, B, C, AB, AC, BC, ABC
|
139 |
-
probabilities_df = calculate_probabilities(A, B, C, AB, AC, BC, ABC
|
140 |
-
suggestions = suggest_intersections(A, B, C, AB, AC, BC, ABC
|
141 |
|
142 |
return venn_image, probabilities_df, suggestions
|
143 |
|
|
|
5 |
from PIL import Image
|
6 |
import pandas as pd
|
7 |
|
8 |
+
def validate_inputs(U, A, B, C, AB, AC, BC, ABC):
|
9 |
union_ABC = A + B + C - AB - AC - BC + ABC
|
10 |
errors = []
|
11 |
|
|
|
25 |
errors.append(f"A鈭〣鈭〤 ({ABC}) no puede ser mayor que B鈭〤 ({BC}).")
|
26 |
|
27 |
return errors
|
28 |
+
def suggest_intersections(U, A, B, C, AB, AC, BC, ABC):
|
29 |
union_ABC = A + B + C - AB - AC - BC + ABC
|
30 |
|
31 |
min_AB = min(A, B, ABC)
|
|
|
45 |
}
|
46 |
return suggestions
|
47 |
|
48 |
+
def calculate_probabilities(U, A, B, C, AB, AC, BC, ABC):
|
49 |
total = U if U > 0 else (A + B + C - AB - AC - BC + ABC)
|
50 |
if total == 0:
|
51 |
return {
|
|
|
119 |
df = pd.DataFrame(list(formatted_probs.items()), columns=["Descripci贸n", "Valor"])
|
120 |
return df
|
121 |
|
122 |
+
def draw_venn(U, A, B, C, AB, AC, BC, ABC):
|
123 |
plt.figure(figsize=(10,10))
|
124 |
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'))
|
125 |
img = BytesIO()
|
|
|
129 |
image = Image.open(img)
|
130 |
return image
|
131 |
|
132 |
+
def main(U, A, B, C, AB, AC, BC, ABC):
|
133 |
+
errors = validate_inputs(U, A, B, C, AB, AC, BC, ABC)
|
134 |
if errors:
|
135 |
# Devolver None para la imagen y el DataFrame si hay errores
|
136 |
return None, pd.DataFrame({"Errores de validaci贸n": errors}), {}
|
137 |
|
138 |
+
venn_image = draw_venn(U, A, B, C, AB, AC, BC, ABC)
|
139 |
+
probabilities_df = calculate_probabilities(U, A, B, C, AB, AC, BC, ABC)
|
140 |
+
suggestions = suggest_intersections(U, A, B, C, AB, AC, BC, ABC)
|
141 |
|
142 |
return venn_image, probabilities_df, suggestions
|
143 |
|