In [1]:

    

import os
import charts_function_list, date_functions


    

In [2]:

    

base_path, data_folder, outputs = charts_function_list.folder_setup()
os.chdir(data_folder)
poke = pd.read_csv('poke.csv')
date_functions.convert_datetime(poke)


    

In [3]:

    

year_count = poke.pivot_table('BUSINESS NAME',index='LOCATION START DATE',aggfunc='count').resample('AS').sum()
year_count.fillna(0,inplace=True)
year_count = year_count[0:-1] #remove 2017


    

In [4]:

    

charts_function_list.line_chart(x=year_count.index.year,y=year_count.values,xlabel = 'Year of Opening', ylabel = 'Count of Restaurant Openings',
           title='The Great Los Angeles Poke Boom of 2016',source_y=-.2,linecolor='#fbb4b9',
                                chart_tag_y=-.23,source='Los Angeles Open Data Portal - Listing of Active Businesses - April 2017',linewidth=3,marker='o')
ax = plt.gca()
ax.set_ylim(-.1,35)

ax.text(1,-.3,'Poke is a delicious Hawaiian salad, usually made with raw fish and other morsels',
        transform=ax.transAxes,ha='right',style='italic',color='#ae017e')
os.chdir(outputs)
plt.savefig('Poke Count',bbox_inches = 'tight', dpi = 100, pad_inches = .25,transparent=False)


    

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