Update functions.py

functions.py

@@ -9,7 +9,6 @@ from matplotlib.ticker import FormatStrFormatter
 import seaborn as sns
 from sklearn import linear_model
 
-
 def update_table(coordx,coordy,coordz,plotting_df):
   plotting_df = plotting_df[plotting_df['type'] != "User"]
   xx=plotting_df.columns[3]
@@ -73,14 +72,14 @@ def plot(plotting_df,x_vals, y_vals, z_vals):
   min_z = temp_xyz[z_vals].min()
   max_z = temp_xyz[z_vals].max()
   #3D plot:
-  markers={'Chon': 'circle', 'Iron': 'x', 'Acho': 'square', 'Plan': 'square', 'CAIs': 'diamond', 'User':'circle', 'CI':'circle'}
-  fig0= px.scatter_3d(data_frame=temp_xyz,x=x_vals,y=y_vals,  z=z_vals , color='class', color_discrete_map={'CC':'blue','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type', symbol_map=markers, hover_name='group',
+  markers={'Chon': 'circle', 'Iron': 'x', 'Acho': 'square', 'Plan': 'square', 'CAIs': 'diamond', 'User':'circle'}#, 'CI':'circle'
+  fig0= px.scatter_3d(data_frame=temp_xyz,x=x_vals,y=y_vals,  z=z_vals , color='class', color_discrete_map={'CC':'blue','CI':'#a4dded','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type', symbol_map=markers, hover_name='group',
                     hover_data={'class': False, 'type':False})
   fig0.update_layout(template="none",  showlegend=True, legend=dict(y=0.0, itemsizing="constant",title=""), modebar=dict(orientation='h'))#margin=dict(l=50, r=50, b=50, t=50),
   fig0.update_traces(marker=dict(size=5, line=dict(color='white', width=4)))
   fig0.update_traces(selector=dict(marker_color='#FFEF00'), marker=dict(line_color='black'))
   #x vs y:
-  fig01=px.scatter(temp_xy,x=x_vals,y=y_vals, color='class',color_discrete_map={'CC':'blue','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type', symbol_map=markers, hover_name='group',
+  fig01=px.scatter(temp_xy,x=x_vals,y=y_vals, color='class',color_discrete_map={'CC':'blue','CI':'#a4dded','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type', symbol_map=markers, hover_name='group',
                     hover_data={'class': False, 'type':False}, error_x=x_errors, error_y=y_errors)
   fig01.update_layout(template="simple_white", showlegend=True, legend=dict(title='',y=1.0, xanchor="right",x=0.2, bgcolor='rgba(0,0,0,0)'), modebar=dict(orientation='h'))
   fig01.update_traces(marker=dict(size=9, line=dict(color='white', width=1)), error_x_width=0,error_y_width=0)
@@ -101,7 +100,7 @@ def plot(plotting_df,x_vals, y_vals, z_vals):
   legend = plt.gca().get_legend()
   legend.set_title('')
   #y vs z:
-  fig02=px.scatter(temp_yz,x=y_vals,y=z_vals, color='class',color_discrete_map={'CC':'blue','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type',symbol_map=markers, hover_name='group',
+  fig02=px.scatter(temp_yz,x=y_vals,y=z_vals, color='class',color_discrete_map={'CC':'blue','CI':'#a4dded','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type',symbol_map=markers, hover_name='group',
                     hover_data={'class': False, 'type':False},
                     error_x=y_errors, error_y=z_errors)
   fig02.update_layout(template="simple_white", showlegend=True, legend=dict(title='',y=1.0, xanchor="right",x=0.2, bgcolor='rgba(0,0,0,0)'), modebar=dict(orientation='h'))
@@ -122,7 +121,7 @@ def plot(plotting_df,x_vals, y_vals, z_vals):
   legend = plt.gca().get_legend()
   legend.set_title('')
   #z vs x:
-  fig03=px.scatter(temp_zx,x=z_vals,y=x_vals, color='class',color_discrete_map={'CC':'blue','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type', symbol_map=markers, hover_name='group',
+  fig03=px.scatter(temp_zx,x=z_vals,y=x_vals, color='class',color_discrete_map={'CC':'blue','CI':'#a4dded','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type', symbol_map=markers, hover_name='group',
                     hover_data={'class': False, 'type':False},
                     error_x=z_errors,error_y=x_errors)
   fig03.update_layout(template="simple_white", showlegend=True, legend=dict(title='',y=1.0, xanchor="right",x=0.2, bgcolor='rgba(0,0,0,0)'), modebar=dict(orientation='h'))
@@ -464,8 +463,8 @@ def plot_3D_reg(plotting_df,reg_df,x_vals, y_vals, z_vals,CC_reg,NC_reg):
         temp_xyz = pd.concat([temp_xyz, row.to_frame().T])
   temp_xyz.reset_index(drop=True, inplace=True)
 #3D plot:
-  markers={'Chon': 'circle', 'Iron': 'x', 'Acho': 'square', 'Plan': 'square', 'CAIs': 'diamond', 'User':'circle', 'CI':'circle'}
-  fig0= px.scatter_3d(data_frame=temp_xyz,x=x_vals,y=y_vals,  z=z_vals , color='class', color_discrete_map={'CC':'blue','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type', symbol_map=markers, hover_name='group',
+  markers={'Chon': 'circle', 'Iron': 'x', 'Acho': 'square', 'Plan': 'square', 'CAIs': 'diamond', 'User':'circle'}#, 'CI':'circle'
+  fig0= px.scatter_3d(data_frame=temp_xyz,x=x_vals,y=y_vals,  z=z_vals , color='class', color_discrete_map={'CC':'blue','CI':'#a4dded','NC':'red','Other':'green','NA':'#FFEF00'},symbol='type', symbol_map=markers, hover_name='group',
                     hover_data={'class': False, 'type':False})
   fig0.update_layout(template="none",  showlegend=True, legend=dict(y=0.0, itemsizing="constant",title=""), modebar=dict(orientation='h'))
   fig0.update_traces(marker=dict(size=5, line=dict(color='white', width=4)))