Update app.py
Browse files
app.py
CHANGED
@@ -129,12 +129,13 @@ if uploaded_file is not None:
|
|
129 |
|
130 |
NUM_CASOS = st.slider("¿Qué rango de valores elige explorar?", 1, 10, value=(3,7))
|
131 |
st.write('Usted ha elegido ', NUM_CASOS, 'casos.')
|
|
|
132 |
|
133 |
radiohex = (data_210.pca_1.max() - data_210.pca_1.min())/GRIDSIZEX/2
|
134 |
|
135 |
st.header('Visualización de Caso Particular')
|
136 |
|
137 |
-
CASOX = st.selectbox('Elija el caso: ',
|
138 |
|
139 |
a, b = patrones_df.col1[CASOX], patrones_df.col2[CASOX]
|
140 |
enfoqueX = data_210[
|
@@ -156,7 +157,7 @@ if uploaded_file is not None:
|
|
156 |
|
157 |
st.subheader('Poblaciones por Hexágonos Elegidos')
|
158 |
|
159 |
-
for c in
|
160 |
a, b = patrones_df.col1[c], patrones_df.col2[c]
|
161 |
enfoqueX = data_210[
|
162 |
(data_210.pca_1 > a - radiohex) &
|
@@ -169,7 +170,7 @@ if uploaded_file is not None:
|
|
169 |
st.header('Descarga de Items de Hexagonos Densos Elegidos')
|
170 |
|
171 |
enfoques = pd.DataFrame()
|
172 |
-
for c in
|
173 |
a, b = patrones_df.col1[c], patrones_df.col2[c]
|
174 |
enfoqueX = data_210[
|
175 |
(data_210.pca_1 > a - radiohex) &
|
|
|
129 |
|
130 |
NUM_CASOS = st.slider("¿Qué rango de valores elige explorar?", 1, 10, value=(3,7))
|
131 |
st.write('Usted ha elegido ', NUM_CASOS, 'casos.')
|
132 |
+
CASES_LIST = [i for i in range(NUM_CASOS[0], NUM_CASOS[1] + 1)]
|
133 |
|
134 |
radiohex = (data_210.pca_1.max() - data_210.pca_1.min())/GRIDSIZEX/2
|
135 |
|
136 |
st.header('Visualización de Caso Particular')
|
137 |
|
138 |
+
CASOX = st.selectbox('Elija el caso: ', CASES_LIST)
|
139 |
|
140 |
a, b = patrones_df.col1[CASOX], patrones_df.col2[CASOX]
|
141 |
enfoqueX = data_210[
|
|
|
157 |
|
158 |
st.subheader('Poblaciones por Hexágonos Elegidos')
|
159 |
|
160 |
+
for c in CASES_LIST:
|
161 |
a, b = patrones_df.col1[c], patrones_df.col2[c]
|
162 |
enfoqueX = data_210[
|
163 |
(data_210.pca_1 > a - radiohex) &
|
|
|
170 |
st.header('Descarga de Items de Hexagonos Densos Elegidos')
|
171 |
|
172 |
enfoques = pd.DataFrame()
|
173 |
+
for c in CASES_LIST:
|
174 |
a, b = patrones_df.col1[c], patrones_df.col2[c]
|
175 |
enfoqueX = data_210[
|
176 |
(data_210.pca_1 > a - radiohex) &
|