From dcafa143cafcd674117bfd57d33cc60b2c6d1237 Mon Sep 17 00:00:00 2001
From: barthes <nicolas.barthes@cefe.cnrs.fr>
Date: Tue, 23 Apr 2024 15:40:55 +0200
Subject: [PATCH] esthetical corrections
---
src/pages/1-samples_selection.py | 2 +-
src/pages/2-model_creation.py | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/src/pages/1-samples_selection.py b/src/pages/1-samples_selection.py
index 8b33b5f..c9085bd 100644
--- a/src/pages/1-samples_selection.py
+++ b/src/pages/1-samples_selection.py
@@ -280,7 +280,7 @@ if not spectra.empty:
residuals = dr_model.residuals_
fig = px.scatter(x=leverage[ax1], y=residuals[ax1], color=leverage[ax1]*residuals[ax1], color_continuous_scale='Blues')
fig.update_layout(xaxis_title="Leverage", yaxis_title="Residuals")
- st.plotly_chart(fig)
+ st.plotly_chart(fig, use_container_width=True)
img = pio.to_image(fig, format="png")
with open("./Report/figures/graphe_influence.png", "wb") as f:
f.write(img)
diff --git a/src/pages/2-model_creation.py b/src/pages/2-model_creation.py
index 8b0ea6e..a58048f 100644
--- a/src/pages/2-model_creation.py
+++ b/src/pages/2-model_creation.py
@@ -28,7 +28,7 @@ reg_algo = ["","Full-PLSR", "Locally Weighted PLSR", "Interval-PLSR", "Full-PLSR
# page Design
st.header("Calibration Model Development", divider='blue')
st.write("Create a predictive model, then use it for predicting your target variable (chemical values) from NIRS spectra")
-M1, M2, M3 = st.columns([2,2,2])
+M1, M2, M3 = st.columns([2,3,2])
M4, M5 = st.columns([6,2])
st.write("---")
st.header("Model Diagnosis", divider='blue')
--
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