From 88011c64a689722b389d91829a9cb560ba8fd659 Mon Sep 17 00:00:00 2001
From: unknown <cmalzer1@gwdg.de>
Date: Tue, 3 Sep 2019 14:34:29 +0200
Subject: [PATCH] update

---
 .../Grundlagen 3 - Pandas DataFrames.ipynb    | 48 +++++++++----------
 1 file changed, 24 insertions(+), 24 deletions(-)

diff --git a/Tutorials/Grundlagen 3 - Pandas DataFrames.ipynb b/Tutorials/Grundlagen 3 - Pandas DataFrames.ipynb
index 4aee006..2a0ccaf 100644
--- a/Tutorials/Grundlagen 3 - Pandas DataFrames.ipynb	
+++ b/Tutorials/Grundlagen 3 - Pandas DataFrames.ipynb	
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -108,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -136,7 +136,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -166,7 +166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -206,7 +206,7 @@
     }
    ],
    "source": [
-    "aerzte = pd.DataFrame(pd.read_csv(\"Data/HNO_Aerzte_CSV.csv\"))  \n",
+    "aerzte = pd.DataFrame(pd.read_csv(\"../Daten/HNO_Aerzte_CSV.csv\"))  \n",
     "print(aerzte)"
    ]
   },
@@ -219,7 +219,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -253,7 +253,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -311,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -340,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -369,11 +369,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
-    "selektion.to_csv(\"Daten/Selektion.csv\")"
+    "selektion.to_csv(\"../Daten/Selektion.csv\") "
    ]
   },
   {
@@ -385,7 +385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -409,7 +409,7 @@
     }
    ],
    "source": [
-    "df = pd.read_excel('Daten/Ärztedaten_Hamburg.xls', sheet_name='HNO')\n",
+    "df = pd.read_excel('../Daten/Ärztedaten_Hamburg.xls', sheet_name='HNO')\n",
     "print(df.head())"
    ]
   },
@@ -424,7 +424,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -462,7 +462,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -499,12 +499,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
     "df = df.head()\n",
-    "df.to_csv(\"Daten/Selektion.csv\")"
+    "df.to_csv(\"../Daten/Selektion.csv\")"
    ]
   },
   {
@@ -517,7 +517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -588,7 +588,7 @@
     }
    ],
    "source": [
-    "df = pd.DataFrame(pd.read_csv(\"Daten/Selektion.csv\", sep=','))\n",
+    "df = pd.DataFrame(pd.read_csv(\"../Daten/Selektion.csv\", sep=','))\n",
     "for index, data in df.iterrows(): # Syntax, um ein DataFrame zu iterieren\n",
     "    print(index)  #Index der aktuellen Zeile\n",
     "    print(data)  #Daten in dieser Zeile\n",
@@ -604,7 +604,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -633,7 +633,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
-- 
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