1

pages/3_Загрузка CSV.py

@@ -32,14 +32,15 @@ if uploaded_file is not None:
 if not df is None:
     df.style.format(precision=3, thousands=" ", decimal=".")
     col2.dataframe(df) #, column_config=)
-    cnames = "".join(df.columns)
-    if cnames.lower().startswith("xyz"):
-        col2.write(cnames)
-        col2.write(df.notna().sum())
+    colnames = "".join(df.columns)
+    if colnames.lower().startswith("xyz"):
+        #write(colnames)
+        colcounts = "_".join(map(str,set(df.notna().sum())))
+        col2.write(f"{colnames}_{colcounts}.CSV")
     col1.write(df.describe())
     dfinfo = my_stm.pandas_info(df)
     col1.write(dfinfo)
-    
+
     #col1.write(df.aggregate(["mean","median","prod","sum","std","var"]))
 
 

static/test.ipynb

@@ -0,0 +1,284 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#@title IMPORT\n",
+    "import io,os,re,sys,math,time,uuid,ctypes,pickle,psutil,random,shutil,string,urllib,decimal,datetime,itertools,traceback,collections\n",
+    "import matplotlib.pyplot as plt, seaborn as sns, plotly.express as px\n",
+    "import numpy as np, pandas as pd\n",
+    "\n",
+    "write = print"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Z</th>\n",
+       "      <th>A</th>\n",
+       "      <th>B</th>\n",
+       "      <th>V</th>\n",
+       "      <th>Vis</th>\n",
+       "      <th>Vfloat</th>\n",
+       "      <th>Vsign</th>\n",
+       "      <th>Vposneg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>222</td>\n",
+       "      <td>473</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-12</td>\n",
+       "      <td>73</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>212</td>\n",
+       "      <td>425</td>\n",
+       "      <td>202</td>\n",
+       "      <td>24</td>\n",
+       "      <td>15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>220</td>\n",
+       "      <td>433</td>\n",
+       "      <td>391</td>\n",
+       "      <td>22</td>\n",
+       "      <td>-22</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-212</td>\n",
+       "      <td>475</td>\n",
+       "      <td>229</td>\n",
+       "      <td>65</td>\n",
+       "      <td>-45</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202</td>\n",
+       "      <td>513</td>\n",
+       "      <td>111</td>\n",
+       "      <td>16</td>\n",
+       "      <td>28</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12005</th>\n",
+       "      <td>202</td>\n",
+       "      <td>460</td>\n",
+       "      <td>-37</td>\n",
+       "      <td>20</td>\n",
+       "      <td>-3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12006</th>\n",
+       "      <td>-211</td>\n",
+       "      <td>543</td>\n",
+       "      <td>19</td>\n",
+       "      <td>23</td>\n",
+       "      <td>14</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12007</th>\n",
+       "      <td>202</td>\n",
+       "      <td>609</td>\n",
+       "      <td>208</td>\n",
+       "      <td>-10</td>\n",
+       "      <td>21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12008</th>\n",
+       "      <td>422</td>\n",
+       "      <td>633</td>\n",
+       "      <td>581</td>\n",
+       "      <td>23</td>\n",
+       "      <td>39</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12009</th>\n",
+       "      <td>-232</td>\n",
+       "      <td>601</td>\n",
+       "      <td>732</td>\n",
+       "      <td>54</td>\n",
+       "      <td>52</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>o</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>12010 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         X    Y    Z   A   B    V  Vis  Vfloat  Vsign Vposneg\n",
+       "0      222  473    0 -12  73  NaN    0     0.0      0       o\n",
+       "1      212  425  202  24  15  NaN    0     0.0      0       o\n",
+       "2      220  433  391  22 -22  NaN    0     0.0      0       o\n",
+       "3     -212  475  229  65 -45  NaN    0     0.0      0       o\n",
+       "4      202  513  111  16  28  NaN    0     0.0      0       o\n",
+       "...    ...  ...  ...  ..  ..  ...  ...     ...    ...     ...\n",
+       "12005  202  460  -37  20  -3  NaN    0     0.0      0       o\n",
+       "12006 -211  543   19  23  14  NaN    0     0.0      0       o\n",
+       "12007  202  609  208 -10  21  NaN    0     0.0      0       o\n",
+       "12008  422  633  581  23  39  NaN    0     0.0      0       o\n",
+       "12009 -232  601  732  54  52  NaN    0     0.0      0       o\n",
+       "\n",
+       "[12010 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "path1 = \"N:\\Makarov\\Development\\Python\\Jupiter Notebooks\\Gaziev CSV\\TestData_1504_AB_soloV_gaziev.zip\"\n",
+    "df = None\n",
+    "if(os.path.exists(path1)):\n",
+    "    df = pd.read_csv(path1, sep=';',compression=\"zip\")\n",
+    "if not df is None:\n",
+    "    df0 = df.copy()\n",
+    "    df0[\"Vis\"] = df0.V.map(lambda v: 0 if v is np.NaN else 1).astype(int)\n",
+    "    df0[\"Vfloat\"] = df0.V.map(lambda v: 0 if str(v)==\"nan\" else str(v).replace(',', '.')).astype(float)\n",
+    "    df0[\"Vsign\"] = df0.Vfloat.map(lambda v: -1 if v<0 else 1 if v>0 else 0).astype(int)\n",
+    "    df0[\"Vposneg\"] = df0.Vfloat.map(lambda v: \"n\" if v<0 else \"p\" if v>0 else \"o\").astype(str)\n",
+    "df0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "XYZABV\n",
+      "XYZABV_264_12010.CSV\n"
+     ]
+    }
+   ],
+   "source": [
+    "colnames = \"\".join(df.columns)\n",
+    "if colnames.lower().startswith(\"xyz\"):\n",
+    "    write(colnames)\n",
+    "    colcounts = \"_\".join(map(str,set(df.notna().sum())))\n",
+    "    write(f\"{colnames}_{colcounts}.CSV\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}