def load_file(self, file_path, year_columns=YEAR_COLUMNS, should_read_world_datapoints=False):
f = open(file_path, 'rb')
reader = csv.DictReader(f, skipinitialspace=True)
for row in reader:
importer = row.get('Importer')
exporter = row.get('Exporter')
if not should_read_world_datapoints:
if importer == 'World' or exporter == 'World':
continue
if importer == exporter:
continue
if not is_valid_country(importer) or not is_valid_country(exporter):
continue
self._load_row(exporter, importer, row, year_columns)
f.close()
def gen_intermediate_data_for_one_way_linear_regression_plot(data,input_file, f1, f2, f3):
i = 0
reader = csv.DictReader(open(input_file, 'rb'), skipinitialspace=True)
out1 = open(f1, 'w')
out2 = open(f2, 'w')
out3 = open(f3, 'w')
for row in reader:
importer = row.get('Importer')
exporter = row.get('Exporter')
if importer == exporter or exporter == 'World':
continue
if not is_valid_country(importer) or not is_valid_country(exporter):
continue
subdir = 'in/wtf/' + file_safe(exporter) + '/'
filepath = subdir + 'exports-to-' + file_safe(importer) + '.txt'
if not os.path.exists(rootdir + subdir):
os.makedirs(rootdir + subdir)
with open(rootdir + filepath, 'wb') as csvfile:
writer = csv.writer(csvfile, delimiter='\t')
for column in YEAR_COLUMNS:
export_quantity = row.get(column)
if export_quantity == 'NaN':
continue
year = column_to_year(column)
print exporter + ' ' + importer + ' ' + str(year) + ' ' + export_quantity + ' ' + str(data.total_exports(
exporter, year))
writer.writerow([year, float(export_quantity) / data.total_exports(exporter, year) * 100])
out1.write(filepath + "\n")
out2.write(
"out/wtf/" + file_safe(exporter) + "/" + file_safe(exporter) + "-export-to-" + file_safe(importer) + "\n")
print i
i += 1
for c in countries.countries:
out3.write("mkdir('out/wtf/" + file_safe(c) + "')\n")
out3.write("clear\n")
out3.write("total = " + str(i) + "\n")
out3.write("inputfile123=textread('input-files-percent.txt','%s',total)\n")
out3.write("outputfile123=textread('output-files-percent.txt','%s',total)\n")
out3.write("\n")
out3.write("for i=1:total,\n")
out3.write(" data = load(inputfile123{i})\n")
out3.write(" datasize = size(data)\n")
out3.write(" isemptyfile = datasize(1) == 0\n")
out3.write(" if isemptyfile\n")
out3.write(" data = [0 0]\n")
out3.write(" end\n")
out3.write(" x = data(:,1)\n")
out3.write(" y = data(:,2)\n")
out3.write(" ylinearfit = polyval(polyfit(x,y,1),x)\n")
out3.write(" yquadfit = polyval(polyfit(x,y,2),x)\n")
out3.write(" plot(x,y,'k-s',x,ylinearfit,x,yquadfit)\n")
out3.write(" if isemptyfile\n")
out3.write(" xlabel('No data')\n")
out3.write(" ylabel('No data')\n")
out3.write(" else\n")
out3.write(" xlabel('Year')\n")
out3.write(" ylabel('Export Quantity')\n")
out3.write(" end\n")
out3.write(" saveas(gcf,outputfile123{i},'png')\n")
out3.write(" i\n")
out3.write("end\n")