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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Python Library for Data Analysis\n",
+ "\n",
+ "- series object -one dimensional array\n",
+ "- \n",
+ "\n",
+ "- Updating Data Frames\n",
+ "- Writing DataFrame back to CSV File"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " GEOID | \n",
+ " State | \n",
+ " 2005 | \n",
+ " 2006 | \n",
+ " 2007 | \n",
+ " 2008 | \n",
+ " 2009 | \n",
+ " 2010 | \n",
+ " 2011 | \n",
+ " 2012 | \n",
+ " 2013 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 04000US01 | \n",
+ " Alabama | \n",
+ " 37150 | \n",
+ " 37952 | \n",
+ " 42212 | \n",
+ " 44476 | \n",
+ " 39980 | \n",
+ " 40933 | \n",
+ " 42590 | \n",
+ " 43464 | \n",
+ " 41381 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 04000US02 | \n",
+ " Alaska | \n",
+ " 55891 | \n",
+ " 56418 | \n",
+ " 62993 | \n",
+ " 63989 | \n",
+ " 61604 | \n",
+ " 57848 | \n",
+ " 57431 | \n",
+ " 63648 | \n",
+ " 61137 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 04000US04 | \n",
+ " Arizona | \n",
+ " 45245 | \n",
+ " 46657 | \n",
+ " 629933 | \n",
+ " 46914 | \n",
+ " 45739 | \n",
+ " 46896 | \n",
+ " 48621 | \n",
+ " 47044 | \n",
+ " 50602 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 04000US05 | \n",
+ " Arkansas | \n",
+ " 36658 | \n",
+ " 37057 | \n",
+ " 40795 | \n",
+ " 39586 | \n",
+ " 36538 | \n",
+ " 38587 | \n",
+ " 41302 | \n",
+ " 39018 | \n",
+ " 39919 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 04000US06 | \n",
+ " California | \n",
+ " 51755 | \n",
+ " 55319 | \n",
+ " 55734 | \n",
+ " 57014 | \n",
+ " 56134 | \n",
+ " 54283 | \n",
+ " 53367 | \n",
+ " 57020 | \n",
+ " 57528 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " GEOID State 2005 2006 2007 2008 2009 2010 2011 \\\n",
+ "0 04000US01 Alabama 37150 37952 42212 44476 39980 40933 42590 \n",
+ "1 04000US02 Alaska 55891 56418 62993 63989 61604 57848 57431 \n",
+ "2 04000US04 Arizona 45245 46657 629933 46914 45739 46896 48621 \n",
+ "3 04000US05 Arkansas 36658 37057 40795 39586 36538 38587 41302 \n",
+ "4 04000US06 California 51755 55319 55734 57014 56134 54283 53367 \n",
+ "\n",
+ " 2012 2013 \n",
+ "0 43464 41381 \n",
+ "1 63648 61137 \n",
+ "2 47044 50602 \n",
+ "3 39018 39919 \n",
+ "4 57020 57528 "
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Function to read csv data into data frame\n",
+ "#returns the Dataframe object\n",
+ "filepath='DataFIles/income.csv'\n",
+ "import pandas as pd\n",
+ "def readcsvdata(filepath):\n",
+ " return pd.read_csv(filepath)\n",
+ "\n",
+ "readcsvdata(filepath)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "GEOID State 2005 2006 2007 2008 2009 2010 2011 2012 2013 "
+ ]
+ }
+ ],
+ "source": [
+ "incomedf=readcsvdata(filepath)\n",
+ "# Function to print all column names in a single line\n",
+ "#GEOID State 2005 .....\n",
+ "\n",
+ "def printdataframecolumns(df):\n",
+ " columns=df.columns\n",
+ " for column in columns:\n",
+ " print(column,end=' ')\n",
+ " return\n",
+ "\n",
+ "printdataframecolumns(incomedf)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "04000US02 Alaska 55891 56418 62993 63989 61604 57848 57431 63648 61137 "
+ ]
+ }
+ ],
+ "source": [
+ "# Function to access a row based on unique column value\n",
+ "def accessdataframerow(df,key):\n",
+ " for row in df.values:\n",
+ " if key in row:\n",
+ " for item in row:\n",
+ " print(item,end=' ')\n",
+ " return\n",
+ "accessdataframerow(incomedf,\"Alaska\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " GEOID | \n",
+ " State | \n",
+ " 2005 | \n",
+ " 2006 | \n",
+ " 2007 | \n",
+ " 2008 | \n",
+ " 2009 | \n",
+ " 2010 | \n",
+ " 2011 | \n",
+ " 2012 | \n",
+ " 2013 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 04000US01 | \n",
+ " Alabama | \n",
+ " 37150 | \n",
+ " 37952 | \n",
+ " 42212 | \n",
+ " 44476 | \n",
+ " 39980 | \n",
+ " 40933 | \n",
+ " 42590 | \n",
+ " 43464 | \n",
+ " 41381 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 04000US02 | \n",
+ " Alaska | \n",
+ " 55891 | \n",
+ " 56418 | \n",
+ " 62993 | \n",
+ " 63989 | \n",
+ " 61604 | \n",
+ " 57848 | \n",
+ " 57431 | \n",
+ " 63648 | \n",
+ " 61137 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 04000US04 | \n",
+ " Arizona | \n",
+ " 45245 | \n",
+ " 46657 | \n",
+ " 629933 | \n",
+ " 46914 | \n",
+ " 45739 | \n",
+ " 46896 | \n",
+ " 48621 | \n",
+ " 47044 | \n",
+ " 50602 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 04000US05 | \n",
+ " Arkansas | \n",
+ " 36658 | \n",
+ " 37057 | \n",
+ " 40795 | \n",
+ " 39586 | \n",
+ " 36538 | \n",
+ " 38587 | \n",
+ " 41302 | \n",
+ " 39018 | \n",
+ " 39919 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 04000US06 | \n",
+ " California | \n",
+ " 51755 | \n",
+ " 55319 | \n",
+ " 55734 | \n",
+ " 57014 | \n",
+ " 56134 | \n",
+ " 54283 | \n",
+ " 53367 | \n",
+ " 57020 | \n",
+ " 57528 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " GEOID State 2005 2006 2007 2008 2009 2010 2011 \\\n",
+ "0 04000US01 Alabama 37150 37952 42212 44476 39980 40933 42590 \n",
+ "1 04000US02 Alaska 55891 56418 62993 63989 61604 57848 57431 \n",
+ "2 04000US04 Arizona 45245 46657 629933 46914 45739 46896 48621 \n",
+ "3 04000US05 Arkansas 36658 37057 40795 39586 36538 38587 41302 \n",
+ "4 04000US06 California 51755 55319 55734 57014 56134 54283 53367 \n",
+ "\n",
+ " 2012 2013 \n",
+ "0 43464 41381 \n",
+ "1 63648 61137 \n",
+ "2 47044 50602 \n",
+ "3 39018 39919 \n",
+ "4 57020 57528 "
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "incomedf"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "56134"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Accessing a unique value based on row, column information\n",
+ "\n",
+ "#Income of a state in a given year\n",
+ "\n",
+ "def getrowindex(df,rowkey):\n",
+ " for i in range(len(df.values)):\n",
+ " if df.values[i][0]==rowkey or df.values[i][1]==rowkey:\n",
+ " rowindex=i\n",
+ " return rowindex\n",
+ "\n",
+ "def getcolumnindex(df,columnkey):\n",
+ " for i in range(len(df.columns)):\n",
+ " if df.columns[i]==columnkey:\n",
+ " columnindex=i\n",
+ " return columnindex\n",
+ "\n",
+ "\n",
+ "def valuefromrowcolumn(df,rowkey,columnkey):\n",
+ " rowindex=getrowindex(df,rowkey)\n",
+ " columnindex=getcolumnindex(df,columnkey)\n",
+ " return df.values[rowindex][columnindex]\n",
+ "valuefromrowcolumn(incomedf,'California','2009')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " GEOID | \n",
+ " State | \n",
+ " 2005 | \n",
+ " 2006 | \n",
+ " 2007 | \n",
+ " 2008 | \n",
+ " 2009 | \n",
+ " 2010 | \n",
+ " 2011 | \n",
+ " 2012 | \n",
+ " 2013 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 04000US01 | \n",
+ " Alabama | \n",
+ " 37150 | \n",
+ " 37952 | \n",
+ " 42212 | \n",
+ " 44476 | \n",
+ " 39980 | \n",
+ " 40933 | \n",
+ " 42590 | \n",
+ " 43464 | \n",
+ " 41381 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 04000US02 | \n",
+ " Alaska | \n",
+ " 55891 | \n",
+ " 56418 | \n",
+ " 62993 | \n",
+ " 63989 | \n",
+ " 61604 | \n",
+ " 57848 | \n",
+ " 57431 | \n",
+ " 63648 | \n",
+ " 61137 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 04000US04 | \n",
+ " Arizona | \n",
+ " 45245 | \n",
+ " 46657 | \n",
+ " 629933 | \n",
+ " 46914 | \n",
+ " 45739 | \n",
+ " 46896 | \n",
+ " 48621 | \n",
+ " 47044 | \n",
+ " 50602 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 04000US05 | \n",
+ " Arkansas | \n",
+ " 36658 | \n",
+ " 37057 | \n",
+ " 40795 | \n",
+ " 39586 | \n",
+ " 36538 | \n",
+ " 38587 | \n",
+ " 41302 | \n",
+ " 39018 | \n",
+ " 39919 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 04000US06 | \n",
+ " California | \n",
+ " 51755 | \n",
+ " 55319 | \n",
+ " 55734 | \n",
+ " 57014 | \n",
+ " 56134 | \n",
+ " 54283 | \n",
+ " 53367 | \n",
+ " 57020 | \n",
+ " 57528 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " GEOID State 2005 2006 2007 2008 2009 2010 2011 \\\n",
+ "0 04000US01 Alabama 37150 37952 42212 44476 39980 40933 42590 \n",
+ "1 04000US02 Alaska 55891 56418 62993 63989 61604 57848 57431 \n",
+ "2 04000US04 Arizona 45245 46657 629933 46914 45739 46896 48621 \n",
+ "3 04000US05 Arkansas 36658 37057 40795 39586 36538 38587 41302 \n",
+ "4 04000US06 California 51755 55319 55734 57014 56134 54283 53367 \n",
+ "\n",
+ " 2012 2013 \n",
+ "0 43464 41381 \n",
+ "1 63648 61137 \n",
+ "2 47044 50602 \n",
+ "3 39018 39919 \n",
+ "4 57020 57528 "
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Function to update data based on rowkey and column key\n",
+ "def updatedatafromrowcolumn(df,rowkey,columnkey,newdata):\n",
+ " rowindex=getrowindex(df,rowkey)\n",
+ " columnindex=getcolumnindex(df,columnkey)\n",
+ " row=df.values[rowindex]\n",
+ " row[columnindex]=newdata\n",
+ " df.loc[rowindex]=row\n",
+ " return\n",
+ "\n",
+ "updatedatafromrowcolumn(incomedf,'Arizona','2007',629933)\n",
+ "incomedf"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "04000US02 Alaska 55891 56418 62993 63989 61604 57848 57431 63648 61137 "
+ ]
+ }
+ ],
+ "source": [
+ "accessdataframerow(incomedf,62993)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Function to write dataframe to csv\n",
+ "\n",
+ "incomedf.to_csv(filepath,index=False)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " GEOID | \n",
+ " State | \n",
+ " 2005 | \n",
+ " 2006 | \n",
+ " 2007 | \n",
+ " 2008 | \n",
+ " 2009 | \n",
+ " 2010 | \n",
+ " 2011 | \n",
+ " 2012 | \n",
+ " 2013 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 04000US01 | \n",
+ " Alabama | \n",
+ " 37150 | \n",
+ " 37952 | \n",
+ " 42212 | \n",
+ " 44476 | \n",
+ " 39980 | \n",
+ " 40933 | \n",
+ " 42590 | \n",
+ " 43464 | \n",
+ " 41381 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 04000US02 | \n",
+ " Alaska | \n",
+ " 55891 | \n",
+ " 56418 | \n",
+ " 62993 | \n",
+ " 63989 | \n",
+ " 61604 | \n",
+ " 57848 | \n",
+ " 57431 | \n",
+ " 63648 | \n",
+ " 61137 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 04000US04 | \n",
+ " Arizona | \n",
+ " 45245 | \n",
+ " 46657 | \n",
+ " 629933 | \n",
+ " 46914 | \n",
+ " 45739 | \n",
+ " 46896 | \n",
+ " 48621 | \n",
+ " 47044 | \n",
+ " 50602 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 04000US05 | \n",
+ " Arkansas | \n",
+ " 36658 | \n",
+ " 37057 | \n",
+ " 40795 | \n",
+ " 39586 | \n",
+ " 36538 | \n",
+ " 38587 | \n",
+ " 41302 | \n",
+ " 39018 | \n",
+ " 39919 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 04000US06 | \n",
+ " California | \n",
+ " 51755 | \n",
+ " 55319 | \n",
+ " 55734 | \n",
+ " 57014 | \n",
+ " 56134 | \n",
+ " 54283 | \n",
+ " 53367 | \n",
+ " 57020 | \n",
+ " 57528 | \n",
+ "
\n",
+ " \n",
+ " | 6 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " 3 | \n",
+ " 4 | \n",
+ " 5 | \n",
+ " 6 | \n",
+ " 7 | \n",
+ " 8 | \n",
+ " 9 | \n",
+ " 10 | \n",
+ " 11 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " GEOID State 2005 2006 2007 2008 2009 2010 2011 \\\n",
+ "0 04000US01 Alabama 37150 37952 42212 44476 39980 40933 42590 \n",
+ "1 04000US02 Alaska 55891 56418 62993 63989 61604 57848 57431 \n",
+ "2 04000US04 Arizona 45245 46657 629933 46914 45739 46896 48621 \n",
+ "3 04000US05 Arkansas 36658 37057 40795 39586 36538 38587 41302 \n",
+ "4 04000US06 California 51755 55319 55734 57014 56134 54283 53367 \n",
+ "6 1 2 3 4 5 6 7 8 9 \n",
+ "\n",
+ " 2012 2013 \n",
+ "0 43464 41381 \n",
+ "1 63648 61137 \n",
+ "2 47044 50602 \n",
+ "3 39018 39919 \n",
+ "4 57020 57528 \n",
+ "6 10 11 "
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Function to add a new row of data to dataframe\n",
+ "\n",
+ "def addrowdatadataframe(df, rowdata):\n",
+ " lastrowindex=len(df.values)-1\n",
+ " df.loc[lastrowindex+1] = rowdata\n",
+ " return\n",
+ "\n",
+ "\n",
+ "rowdata=[1,2,3,4,5,6,7,8,9,10,11]\n",
+ "addrowdatadataframe(incomedf,rowdata)\n",
+ "incomedf"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " GEOID | \n",
+ " State | \n",
+ " 2005 | \n",
+ " 2006 | \n",
+ " 2007 | \n",
+ " 2008 | \n",
+ " 2009 | \n",
+ " 2010 | \n",
+ " 2011 | \n",
+ " 2012 | \n",
+ " 2013 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 04000US01 | \n",
+ " Alabama | \n",
+ " 37150 | \n",
+ " 37952 | \n",
+ " 42212 | \n",
+ " 44476 | \n",
+ " 39980 | \n",
+ " 40933 | \n",
+ " 42590 | \n",
+ " 43464 | \n",
+ " 41381 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 04000US02 | \n",
+ " Alaska | \n",
+ " 55891 | \n",
+ " 56418 | \n",
+ " 62993 | \n",
+ " 63989 | \n",
+ " 61604 | \n",
+ " 57848 | \n",
+ " 57431 | \n",
+ " 63648 | \n",
+ " 61137 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 04000US04 | \n",
+ " Arizona | \n",
+ " 45245 | \n",
+ " 46657 | \n",
+ " 629933 | \n",
+ " 46914 | \n",
+ " 45739 | \n",
+ " 46896 | \n",
+ " 48621 | \n",
+ " 47044 | \n",
+ " 50602 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 04000US05 | \n",
+ " Arkansas | \n",
+ " 36658 | \n",
+ " 37057 | \n",
+ " 40795 | \n",
+ " 39586 | \n",
+ " 36538 | \n",
+ " 38587 | \n",
+ " 41302 | \n",
+ " 39018 | \n",
+ " 39919 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 04000US06 | \n",
+ " California | \n",
+ " 51755 | \n",
+ " 55319 | \n",
+ " 55734 | \n",
+ " 57014 | \n",
+ " 56134 | \n",
+ " 54283 | \n",
+ " 53367 | \n",
+ " 57020 | \n",
+ " 57528 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " GEOID State 2005 2006 2007 2008 2009 2010 2011 \\\n",
+ "0 04000US01 Alabama 37150 37952 42212 44476 39980 40933 42590 \n",
+ "1 04000US02 Alaska 55891 56418 62993 63989 61604 57848 57431 \n",
+ "2 04000US04 Arizona 45245 46657 629933 46914 45739 46896 48621 \n",
+ "3 04000US05 Arkansas 36658 37057 40795 39586 36538 38587 41302 \n",
+ "4 04000US06 California 51755 55319 55734 57014 56134 54283 53367 \n",
+ "\n",
+ " 2012 2013 \n",
+ "0 43464 41381 \n",
+ "1 63648 61137 \n",
+ "2 47044 50602 \n",
+ "3 39018 39919 \n",
+ "4 57020 57528 "
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Function to delete a row in a dataframe\n",
+ "def deleterowdataframe(df,rowkey):\n",
+ " rowindex=getrowindex(df,rowkey)\n",
+ " return df.drop([rowindex],axis=0)\n",
+ " \n",
+ "incomedf=deleterowdataframe(incomedf,1)\n",
+ "incomedf\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "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": "3.7.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}