1

.vscode/PythonImportHelper-v2-Completion.json

@@ -1,155 +0,0 @@
-[
-    {
-        "label": "streamlit",
-        "kind": 6,
-        "isExtraImport": true,
-        "importPath": "streamlit",
-        "description": "streamlit",
-        "detail": "streamlit",
-        "documentation": {}
-    },
-    {
-        "label": "plotly.figure_factory",
-        "kind": 6,
-        "isExtraImport": true,
-        "importPath": "plotly.figure_factory",
-        "description": "plotly.figure_factory",
-        "detail": "plotly.figure_factory",
-        "documentation": {}
-    },
-    {
-        "label": "plotly.graph_objs",
-        "kind": 6,
-        "isExtraImport": true,
-        "importPath": "plotly.graph_objs",
-        "description": "plotly.graph_objs",
-        "detail": "plotly.graph_objs",
-        "documentation": {}
-    },
-    {
-        "label": "messages",
-        "kind": 5,
-        "importPath": "pages.0_Chat",
-        "description": "pages.0_Chat",
-        "peekOfCode": "messages = st.container(height=300)\nif prompt := st.chat_input(\"Спрашивайте тут : \"):\n    messages.chat_message(\"user\").write(prompt)\n    messages.chat_message(\"boss\").write(f\">>> {prompt[::-1]}\") # assistant",
-        "detail": "pages.0_Chat",
-        "documentation": {}
-    },
-    {
-        "label": "n",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "n = 80 # 200\n# Add histogram data\nx1 = np.random.randn(n) # - 2\nx2 = np.random.randn(n)\nx3 = np.random.randn(n) # + 2\nx4 = np.random.randn(n)\nfigure = {\n    \"data\": [go.Scatter3d(z=x1, y=x2, x=x3, mode='markers',\n        marker=dict(size=7, color=x4, colorscale='Viridis', opacity=0.5)\n    )],",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "x1",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "x1 = np.random.randn(n) # - 2\nx2 = np.random.randn(n)\nx3 = np.random.randn(n) # + 2\nx4 = np.random.randn(n)\nfigure = {\n    \"data\": [go.Scatter3d(z=x1, y=x2, x=x3, mode='markers',\n        marker=dict(size=7, color=x4, colorscale='Viridis', opacity=0.5)\n    )],\n    \"layout\": go.Layout(margin=dict(l=0, r=0, b=0, t=0), uirevision='foo') # height=100\n}",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "x2",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "x2 = np.random.randn(n)\nx3 = np.random.randn(n) # + 2\nx4 = np.random.randn(n)\nfigure = {\n    \"data\": [go.Scatter3d(z=x1, y=x2, x=x3, mode='markers',\n        marker=dict(size=7, color=x4, colorscale='Viridis', opacity=0.5)\n    )],\n    \"layout\": go.Layout(margin=dict(l=0, r=0, b=0, t=0), uirevision='foo') # height=100\n}\nst.plotly_chart(figure)",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "x3",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "x3 = np.random.randn(n) # + 2\nx4 = np.random.randn(n)\nfigure = {\n    \"data\": [go.Scatter3d(z=x1, y=x2, x=x3, mode='markers',\n        marker=dict(size=7, color=x4, colorscale='Viridis', opacity=0.5)\n    )],\n    \"layout\": go.Layout(margin=dict(l=0, r=0, b=0, t=0), uirevision='foo') # height=100\n}\nst.plotly_chart(figure)\n# 1",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "x4",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "x4 = np.random.randn(n)\nfigure = {\n    \"data\": [go.Scatter3d(z=x1, y=x2, x=x3, mode='markers',\n        marker=dict(size=7, color=x4, colorscale='Viridis', opacity=0.5)\n    )],\n    \"layout\": go.Layout(margin=dict(l=0, r=0, b=0, t=0), uirevision='foo') # height=100\n}\nst.plotly_chart(figure)\n# 1\n#hist_data = [x1, x2, x3]",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "figure",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "figure = {\n    \"data\": [go.Scatter3d(z=x1, y=x2, x=x3, mode='markers',\n        marker=dict(size=7, color=x4, colorscale='Viridis', opacity=0.5)\n    )],\n    \"layout\": go.Layout(margin=dict(l=0, r=0, b=0, t=0), uirevision='foo') # height=100\n}\nst.plotly_chart(figure)\n# 1\n#hist_data = [x1, x2, x3]\n#group_labels = ['Group 1', 'Group 2', 'Group 3']",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "#hist_data",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "#hist_data = [x1, x2, x3]\n#group_labels = ['Group 1', 'Group 2', 'Group 3']\n#fig = ff.create_distplot(hist_data, group_labels, bin_size=[.1, .25, .5])\n#st.plotly_chart(fig, use_container_width=True)",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "#group_labels",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "#group_labels = ['Group 1', 'Group 2', 'Group 3']\n#fig = ff.create_distplot(hist_data, group_labels, bin_size=[.1, .25, .5])\n#st.plotly_chart(fig, use_container_width=True)",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "#fig",
-        "kind": 5,
-        "importPath": "pages.6_Plotly",
-        "description": "pages.6_Plotly",
-        "peekOfCode": "#fig = ff.create_distplot(hist_data, group_labels, bin_size=[.1, .25, .5])\n#st.plotly_chart(fig, use_container_width=True)",
-        "detail": "pages.6_Plotly",
-        "documentation": {}
-    },
-    {
-        "label": "df",
-        "kind": 5,
-        "importPath": "pages.9_Таблица_результатов",
-        "description": "pages.9_Таблица_результатов",
-        "peekOfCode": "df = pd.DataFrame(np.random.randn(10, 5), columns=(\"col %d\" % i for i in range(5)))\nst.table(df)",
-        "detail": "pages.9_Таблица_результатов",
-        "documentation": {}
-    },
-    {
-        "label": "df",
-        "kind": 5,
-        "importPath": "app",
-        "description": "app",
-        "peekOfCode": "df = pd.DataFrame([\n        {\"command\": \"st.selectbox\", \"rating\": 4, \"is_widget\": True},\n        {\"command\": \"st.balloons\", \"rating\": 5, \"is_widget\": False},\n        {\"command\": \"st.time_input\", \"rating\": 3, \"is_widget\": True},\n])\nedited_df = st.data_editor(df, num_rows=\"dynamic\")\nfavorite_command = edited_df.loc[edited_df[\"rating\"].idxmax()][\"command\"]\nst.markdown(f\"Your favorite command is **{favorite_command}** 🎚️\")",
-        "detail": "app",
-        "documentation": {}
-    },
-    {
-        "label": "edited_df",
-        "kind": 5,
-        "importPath": "app",
-        "description": "app",
-        "peekOfCode": "edited_df = st.data_editor(df, num_rows=\"dynamic\")\nfavorite_command = edited_df.loc[edited_df[\"rating\"].idxmax()][\"command\"]\nst.markdown(f\"Your favorite command is **{favorite_command}** 🎚️\")",
-        "detail": "app",
-        "documentation": {}
-    },
-    {
-        "label": "favorite_command",
-        "kind": 5,
-        "importPath": "app",
-        "description": "app",
-        "peekOfCode": "favorite_command = edited_df.loc[edited_df[\"rating\"].idxmax()][\"command\"]\nst.markdown(f\"Your favorite command is **{favorite_command}** 🎚️\")",
-        "detail": "app",
-        "documentation": {}
-    }
-]

pages/{7_итоги.py → 4_просмотр_CSV.py}

@@ -2,23 +2,20 @@ import os
 import streamlit as st, pandas as pd, numpy as np
 import my_static_methods as my_stm
 
-#st.sidebar.title("Пока плохо")
+#st.sidebar.title("⚜️")
 #st.sidebar.info("три CSV")
-st.sidebar.markdown("*** \n итоги ⚜️")
+st.sidebar.markdown("*** сохраненные \n таблицы \n CSV 💽")
 # remove decoration and popup menu button at top
 st.markdown("<style> header[data-testid='stHeader'] { display:none } div[data-testid='stAppViewBlockContainer'] { padding:1em } </style>", unsafe_allow_html=True)
 
-col1, col2 = st.columns(2)
-#col1.metric("Temperature", "70 °F", "1.2 °F")
-#col2.metric("Wind", "9 mph", "-8%")
-#col3.metric("Humidity", "86%", "4%")
+#col1.metric("Temperature", "70 °F", "1.2 °F") #col2.metric("Wind", "9 mph", "-8%") #col3.metric("Humidity", "86%", "4%")
 
 REPO_ID = "f64k/gaziev"
 lstTestFiles = my_stm.list_files_hf(REPO_ID)
-col1.write(lstTestFiles)
 dictXYZV = my_stm.load_gaziev_from_hf(REPO_ID, lstTestFiles)
 
 key_xyz = st.selectbox("Выберите файл данных для просмотра таблицы и точек", dictXYZV.keys())
+col1, col2 = st.columns(2)
 if key_xyz:
     df_xyz = dictXYZV[key_xyz]