Example #1
0
def create_list():
    raw_dates = get_date_list()
    files = []
    for i in range(len(raw_dates)):
        filename = "nadac/NADAC " + raw_dates[i]
        files.append(filename)
    drugs = builder(files[0])
    for i in range(len(files)-1):
        update(files[i+1], drugs)
        print "done with %s" % files[i+1]
    return new_fda(drugs)
Example #2
0
def draw_graph(drug_dict):
    colors = [(114/255, 158/255, 206/255), (255/255, 158/255, 74/255), (103/255, 191/255, 92/255),
              (237/255, 102/255, 93/255), (173/255, 139/255, 201/255), (168/255, 120/255, 110/255),
              (237/255, 151/255, 202/255), (162/255, 162/255, 162/255), (205/255, 204/255, 93/255),
              (109/255, 204/255, 218/255)]
    xlist = get_date_list()
    x = []
    for date in xlist:
        date = datetime.datetime.strptime(date,"%Y%m%d")
        x.append(date)
    y_dict = {}
    for drug in drug_dict:
        drug_name = drug_dict[drug].name
        y_dict[drug_name] = []
        for k in sorted(drug_dict[drug].prices):
            y_dict[drug_name].append(drug_dict[drug].prices[k])

    dates = mdates.date2num(x)
    fig = plt.figure()
    graph = fig.add_subplot(111)
    count = 0
    for y in y_dict:
        graph.plot(dates, y_dict[y], lw=2.5, color=colors[count], label=y)
        first, last = get_first_last(y_dict[y])
        plt.annotate('$%0.2f' % first, xy=(0.1, first), xytext=(0, 0),
             xycoords=('axes fraction', 'data'), textcoords='offset points', color=colors[count])
        plt.annotate('$%0.2f' % last, xy=(.9, last), xytext=(1, 0),
             xycoords=('axes fraction', 'data'), textcoords='offset points', color=colors[count])
        count += 1
    leg = graph.legend(loc=2)
    conv = np.vectorize(mdates.strpdate2num('%Y%m%d'))
    graph.axvline(conv('20130101'), color='lightgrey', zorder=0)
    graph.axvline(conv('20140101'), color='lightgrey', zorder=0)
    graph.axvline(conv('20150101'), color='lightgrey', zorder=0)
    graph.axvline(conv('20160101'), color='lightgrey', zorder=0)
    graph.xaxis.set_major_formatter(mdates.DateFormatter('%Y%m%d'))
    graph.xaxis.set_major_locator(mdates.MonthLocator())
    graph.xaxis.set_minor_locator(mdates.DayLocator())
    plt.gcf().autofmt_xdate()

    fig.autofmt_xdate()

    for color, text in zip(colors,leg.get_texts()):
        text.set_color(color)

    plt.show()
Example #3
0
def write(drugs):
    fieldnames = ["ID", "Name", "Scientific Name", "Unit", "OTC", "Brand/Generic", "Vendor", "Package", "Description"]
    dates = get_date_list()
    for i in range(len(dates)):
        fieldnames.append(dates[i])
    with open("FullPrices.csv","a") as prices_csv:
        writer = csv.writer(prices_csv, delimiter='|')
        writer.writerow(fieldnames)
        for entry in drugs:
            drug = drugs[entry]
            drugrow = [drug.id, drug.name, drug.scientific_name, drug.unit, drug.otc, drug.b_or_g, drug.vendor, drug.package, drug.desc]
            for i in range(len(dates)):
                try:
                    drugrow.append(drug.prices[dates[i]])
                except KeyError:
                    drugrow.append(None)
            writer.writerow(drugrow)
        prices_csv.close()
    print "Done"