def download_images(c_file, image_field,output_dir): csv_file = Csv_parser(c_file) headers = csv_file.get_header() csv_rows = csv_file.csv_rows img_index = csv_rows[0].index(image_field) #print img_index count =1 for i in csv_rows: if (i[img_index] ==image_field) or (i[img_index]=='null'): count = count +1 continue else: #print i[img_index] url = i[img_index] f = urllib.urlopen(url) localFile = open(output_dir+'/image_'+str(count)+'.jpg', 'wb') localFile.write(f.read()) localFile.close() f.close() count = count +1 #download_images(full_file, image_f,out_put)
def download_images(c_file, image_field, output_dir):
csv_file = Csv_parser(c_file)
headers = csv_file.get_header()
csv_rows = csv_file.csv_rows
img_index = csv_rows[0].index(image_field)
#print img_index
count = 1
for i in csv_rows:
if (i[img_index] == image_field) or (i[img_index] == 'null'):
count = count + 1
continue
else:
#print i[img_index]
url = i[img_index]
f = urllib.urlopen(url)
localFile = open(output_dir + '/image_' + str(count) + '.jpg',
'wb')
localFile.write(f.read())
localFile.close()
f.close()
count = count + 1
#download_images(full_file, image_f,out_put)
def kmz_main(output_dir,csvfile,lat,lng,output_name):
output_name= output_name.replace('.csv','')
output_dir = output_dir + '/'
x= Csv_parser(csvfile)
fields = x.get_header() # Fields is an array of the header attributes
for i in range(len(fields)):
if fields[i] == lat:
lat_index = i
if fields[i] == lng:
lng_index = i
#print lat_index, lng_index # The lat and long index in the array
kml = simplekml.Kml()
for j in range(len(x.csv_rows)):
if (j == 0):
continue
else:
if (x.csv_rows[j][lat_index] !='null') or (x.csv_rows[j][lng_index]!='null'):
#print x.csv_rows[j][lat_index],x.csv_rows[j][lng_index]
lat_cord = x.csv_rows[j][lat_index]
lng_cord = x.csv_rows[j][lng_index]
pnt = kml.newpoint(coords=[(lng_cord , lat_cord)])
#pnt.name = 'Point '+str(x.csv_rows[j])
descript = "<table border=\'1\'><th>Attributes</th><th>Value</th>"
for h in range(len(x.csv_rows[j])):
#pnt.description = str(fields[h])+' : '+str(x.csv_rows[j][h])+'<br />'
descript=descript+'<tr><td><strong>'+fields[h]+'</strong></td>'+'<td>'+x.csv_rows[j][h]+'</td>'+'</tr>'
#print fields[h]
pnt.description = descript+'</table>'
kml.savekmz(output_dir+output_name+'.kmz')
def get_list(self,index): # get selected line index index = self.file_listbox.selection()[0] current_file= self.file_listbox.item(index)['values'][0] for i in range(len(self.file_tree_full)): if current_file== self.file_tree_full[i][0]: filename= self.file_tree_full[i][2] csv_file = Csv_parser(filename) headers = csv_file.get_header() self.add_headers_to_menu(headers)
def create_shape(cfile,lat_field,lng_field,output_dir,file_full):
output_shape = cfile.replace('.csv','')
output_dir = output_dir +'/'
projection = 'GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]'
csv_file = Csv_parser(file_full)
headers = csv_file.get_header()
headers_char = [0]*len(headers)
csv_rows=csv_file.csv_rows
lat_index = csv_rows[0].index(lat_field)
lng_index = csv_rows[0].index(lng_field)
#print lat_index, lng_index
shape_file = shapefile.Writer(shapefile.POINT)
for h in csv_rows:
for g in range(len(h)):
if len(h[g]) >headers_char[g]:
headers_char[g] = len(h[g])
for i in range(len(headers)):
shape_file.field(headers[i], 'C', headers_char[i])
for row in csv_rows:
if (row[lat_index] =="null" or row[lng_index]=="null"):
continue
else:
if row !=headers:
shape_file.point(float(row[lng_index]), float(row[lat_index]))
shape_file.recordFromList(row)
shape_file.save(output_dir+output_shape)
proj_file = open(output_dir+output_shape+'.prj','w')
proj_file.write(projection)
proj_file.close()
#create_shape(output_name,lat,lng,output_dir,file_full)
def create_shape(cfile, lat_field, lng_field, output_dir, file_full):
output_shape = cfile.replace('.csv', '')
output_dir = output_dir + '/'
projection = 'GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]'
csv_file = Csv_parser(file_full)
headers = csv_file.get_header()
headers_char = [0] * len(headers)
csv_rows = csv_file.csv_rows
lat_index = csv_rows[0].index(lat_field)
lng_index = csv_rows[0].index(lng_field)
#print lat_index, lng_index
shape_file = shapefile.Writer(shapefile.POINT)
for h in csv_rows:
for g in range(len(h)):
if len(h[g]) > headers_char[g]:
headers_char[g] = len(h[g])
for i in range(len(headers)):
shape_file.field(headers[i], 'C', headers_char[i])
for row in csv_rows:
if (row[lat_index] == "null" or row[lng_index] == "null"):
continue
else:
if row != headers:
shape_file.point(float(row[lng_index]), float(row[lat_index]))
shape_file.recordFromList(row)
shape_file.save(output_dir + output_shape)
proj_file = open(output_dir + output_shape + '.prj', 'w')
proj_file.write(projection)
proj_file.close()
#create_shape(output_name,lat,lng,output_dir,file_full)
def kmz_main(output_dir, csvfile, lat, lng, output_name):
output_name = output_name.replace('.csv', '')
output_dir = output_dir + '/'
x = Csv_parser(csvfile)
fields = x.get_header() # Fields is an array of the header attributes
for i in range(len(fields)):
if fields[i] == lat:
lat_index = i
if fields[i] == lng:
lng_index = i
#print lat_index, lng_index # The lat and long index in the array
kml = simplekml.Kml()
for j in range(len(x.csv_rows)):
if (j == 0):
continue
else:
if (x.csv_rows[j][lat_index] !=
'null') or (x.csv_rows[j][lng_index] != 'null'):
#print x.csv_rows[j][lat_index],x.csv_rows[j][lng_index]
lat_cord = x.csv_rows[j][lat_index]
lng_cord = x.csv_rows[j][lng_index]
pnt = kml.newpoint(coords=[(lng_cord, lat_cord)])
#pnt.name = 'Point '+str(x.csv_rows[j])
descript = "<table border=\'1\'><th>Attributes</th><th>Value</th>"
for h in range(len(x.csv_rows[j])):
#pnt.description = str(fields[h])+' : '+str(x.csv_rows[j][h])+'<br />'
descript = descript + '<tr><td><strong>' + fields[
h] + '</strong></td>' + '<td>' + x.csv_rows[j][
h] + '</td>' + '</tr>'
#print fields[h]
pnt.description = descript + '</table>'
kml.savekmz(output_dir + output_name + '.kmz')