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# -*- coding: utf-8 -*-
"""
Created on 2019.12.11
@author: Toyo_Daichi
"""
import numpy as np
import pandas as pd
import glob
import itertools
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from mpl_toolkits.basemap import Basemap
class mapping:
def __init__(self):
pass
def setup_csv_filelist(self, path, *, year='*'):
filelist = []
filelist = glob.glob(path + 'table' + str(year) + '.csv')
return filelist
def open_csv_filelist(self, csv_filelist, *, typhoon_number='None'):
csv_datalist = [ []*i for i in range(len(csv_filelist)) ]
list_num = list(range(11))
list_option = ( 'year', 'month', 'day', 'hour(UTC)', 'typhoon_number', 'typhoon_name', 'rank','latitude', 'longitude', 'central_pressure', 'max_wind')
for num_file, infile in enumerate(csv_filelist):
print('..... Preparating data for ' + str(num_file) + ' ' + str(infile))
tmp_data = pd.read_csv(infile, usecols=list_num, skiprows=1, names=list_option, sep=',')
if typhoon_number == "None":
tmp_lat_list = tmp_data['latitude'].values.tolist()
csv_datalist[num_file].append(tmp_lat_list)
tmp_lon_list = tmp_data['longitude'].values.tolist()
csv_datalist[num_file].append(tmp_lon_list)
tmp_centpre_list = tmp_data['central_pressure'].values.tolist()
csv_datalist[num_file].append(tmp_centpre_list)
else:
csv_datalist = []
specific_data = tmp_data.query('typhoon_number == %s' % typhoon_number)
tmp_lat_list = specific_data['latitude'].values.tolist()
csv_datalist.append(tmp_lat_list)
tmp_lon_list = specific_data['longitude'].values.tolist()
csv_datalist.append(tmp_lon_list)
tmp_centpre_list = specific_data['central_pressure'].values.tolist()
csv_datalist.append(tmp_centpre_list)
return csv_datalist
def main_mapping_tool(self, path, csv_datalist, csv_specific_datalist='None', typhoon_info='None'):
fig, ax = plt.subplots()
outpath = path + '/fig/'
lat_min, lat_max = 17, 50
lon_min, lon_max = 120, 155
mapping = Basemap( projection='lcc', resolution="i", lat_0=35, lon_0=140, fix_aspect=(1,1), llcrnrlat=lat_min, urcrnrlat=lat_max, llcrnrlon=lon_min, urcrnrlon=lon_max )
mapping.drawcoastlines(color='black', linewidth=0.5)
mapping.drawmeridians(np.arange(0, 360, 5), labels=[False, True, False, True], fontsize='small', color='gray', linewidth=0.5)
mapping.drawparallels(np.arange(-90, 90, 5), labels=[True, False, False, True], fontsize='small', color='gray', linewidth=0.5)
full_lat_list = list(map(lambda x: x[0], csv_datalist))
full_lon_list = list(map(lambda x: x[1], csv_datalist))
full_lat_list = np.sum(full_lat_list, axis=0)
full_lon_list = np.sum(full_lon_list, axis=0)
lat_list, lon_list = [], []
for i_num in range(len(full_lat_list)):
if(lat_min <= full_lat_list[i_num] <= lat_max and lon_min <= full_lon_list[i_num] <= lon_max):
lat_list.append(full_lat_list[i_num])
lon_list.append(full_lon_list[i_num])
x, y = mapping(lon_list, lat_list)
hexbin = mapping.hexbin(np.array(x), np.array(y), gridsize=[30, 30], cmap='Blues', edgecolors='gray', mincnt=8)
if not csv_specific_datalist == "None":
specific_lat_list, specific_lon_list = csv_specific_datalist[0], csv_specific_datalist[1]
specific_centpre_list = csv_specific_datalist[2]
lat_list, lon_list, centpre_list = [], [], []
for i_num in range(len(specific_lon_list)):
if(lat_min <= specific_lat_list[i_num] <= lat_max and lon_min <= specific_lon_list[i_num] <= lon_max):
lat_list.append(specific_lat_list[i_num])
lon_list.append(specific_lon_list[i_num])
centpre_list.append(specific_centpre_list[i_num])
case_x, case_y = mapping(lon_list, lat_list)
mapping.plot(case_x, case_y, linewidth=0.5, color='red', ls='--', marker='o', ms=2)
cbar = plt.colorbar(hexbin)
cbar.set_label('number', fontsize=8)
if not csv_specific_datalist == "None":
plt.title('Course of typhoon 2000-2019' + ', ' + 'Typhoon track: ' + str(typhoon_info[1]), loc='left', fontsize=9)
else:
plt.title('Course of typhoon 2000-2019', loc='left', fontsize=10)
plt.savefig(outpath + 'typhoon_strength2000-2019' + '_track_' + str(typhoon_info[1]) + '.png')
print('..... savefig ' + outpath + 'typhoon_strength2000-2019' + '_track_' + str(typhoon_info[1]) + '.png')
#plt.show()
def main_driver(self, indir, *, typhoon_info='None'):
csv_filelist = self.setup_csv_filelist(indir)
csv_datalist = self.open_csv_filelist(csv_filelist)
"""
csv_datalist.shape = [year][latitude][longitude][central_pressure]
"""
if not typhoon_info == "None":
print('..... Check specific case filelist')
csv_specific_filelist = self.setup_csv_filelist(indir, year=typhoon_info[0])
csv_specific_datalist = self.open_csv_filelist(csv_specific_filelist, typhoon_number=typhoon_info[1])
self.main_mapping_tool(indir, csv_datalist, csv_specific_datalist=csv_specific_datalist, typhoon_info=typhoon_info)
else:
self.main_mapping_tool(indir, csv_datalist)
if __name__ == "__main__":
mapp = mapping()
#input dir
indir = '/your_directory/'
"""
If you want to write a specific typhoon route, enter the typhoon information.
typhoon_info = [year, typhoon_number]
"""
typhoon_info = [2016, 1610]
#main_driver
mapp.main_driver(indir, typhoon_info=typhoon_info)
print('Normal END')