Update exercises/interp.py

exercises/interp.py

@@ -60,11 +60,11 @@ def block_modelling():
                 " The last tip is, be consistent with your legend,  make sure the samples and contours/blocks use the" +
                 " same colour scheme.")
 
-    df = pd.read_csv(".//data//sim_pts.csv")
+    df = pd.read_csv("data//sim_pts.csv")
     df = df[df.use==1].copy().reset_index(drop=True)
     # fig, ax = plot_samps(df)
     # st.pyplot(fig)
-    st.image("..//pdac2021_res_est_course_link2//images//contour.jpg", use_column_width=True)
+    st.image("images//contour.jpg", use_column_width=True)
     
     #-----------------------------------------------------------------------------------------------------------------#
     # Variogram
@@ -76,7 +76,7 @@ def block_modelling():
                 " the longest direction and longer than the shortest direction. Your job is to estimate the range" +
                 " in the longest direction given your observations from the plot above.")
 
-    st.image("..//pdac2021_res_est_course_link2//images//interp_var.jpg")
+    st.image("images//interp_var.jpg")
 
     var_options = ["Select and Answer",
                    "Major = 75m, Semi-Major = 75m",
@@ -121,7 +121,7 @@ def block_modelling():
     st.markdown("The curves increasing to the right on the grade tonnage curves are the grades foe each technique at different cut-offs.")
     scol1, scol2 = st.beta_columns((1, 1))
     with scol1:
-        st.image("..//pdac2021_res_est_course_link2//images//interp_ests_q1.jpg", use_column_width=True)
+        st.image("images//interp_ests_q1.jpg", use_column_width=True)
     with scol2:
         st.write("")
         st.write("")
@@ -133,7 +133,7 @@ def block_modelling():
         st.write("")
         st.write("")
         st.write("")
-        st.image("..//pdac2021_res_est_course_link2//images//interp_gt_q1.jpg", use_column_width=True)
+        st.image("images//interp_gt_q1.jpg", use_column_width=True)
 
     gt_options = ["Select an Answer",
                    "Light blue is NN, purple is OK and red is ID",
@@ -151,8 +151,8 @@ def block_modelling():
     st.markdown("* Identical search parameters were used")
     st.markdown("* The variogram has nugget of around 0.3 and most of the variability is accounted for within about 20-30m.")
 
-    st.image("..//pdac2021_res_est_course_link2//images//interp_OK_q2.jpg")
-    st.image("..//pdac2021_res_est_course_link2//images//interp_ID_q2.jpg")
+    st.image("images//interp_OK_q2.jpg")
+    st.image("images//interp_ID_q2.jpg")
 
     est_options = ["Select an Answer",
                    "Estimate A is more variable than estimate B. Estimate A is OK and Estimate B is ID",