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": [ { -- GitLab