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Create_zoom_9.py
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Create_zoom_9.py
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# python Crear_zoom_9.py --folder_data C:\Users\borja\Downloads\mapa\CSV --output C:\Users\borja\Downloads\V2
import numpy as np
import pandas as pd
import argparse
from PIL import Image
import os
import branca
import time
from concurrent.futures import ThreadPoolExecutor
#Input of the script
parser = argparse.ArgumentParser()
parser.add_argument('--folder_data', type=str,required=True, help='Folder where the CSV files of the tiles 16x16 are located')
parser.add_argument('--output', '--out', type=str,required=True, help='Filename where you want to save the images')
args = parser.parse_args()
folder = args.folder_data
zoom=9
output = args.output
def Add_zero(a):
if a<10:
return ('0'+str(a))
else:
return str(a)
def Add_pixels(DF2):
fx=np.array(list(set(range(DF2['X'].min(),DF2['X'].min()+256))-set(DF2['X'].values)))-DF2['X'].min()
fy=np.array(list(set(range(DF2['Y'].min(),DF2['Y'].min()+256))-set(DF2['Y'].values)))-DF2['Y'].min()
fx.sort()
fy.sort()
mag=DF2['mag'].values.reshape([len(set(DF2['X'])),len(set(DF2['Y']))])
for i in fy:
mag=np.insert(mag, i, mag[:,i-1], 1)
for i in fx:
mag=np.insert(mag, i, mag[i-1,:], 0)
X=np.transpose(np.tile(np.array(range(DF2['X'].min(),DF2['X'].min()+256)),(256,1)))
Y=np.tile(np.array(range(DF2['Y'].min(),DF2['Y'].min()+256)),(256,1))
return pd.DataFrame({'X':X.reshape([-1]),'Y':Y.reshape([-1]),'mag':mag.reshape([-1])})
Colors=__mag_colors = [
"#FFFFFF", # 14
"#FFFDFF",
"#FFFBFF",
"#FFF9FF",
"#FFF7FF",
"#FFF5FF",
"#FFF3FF",
"#FFF1FF",
"#FFEFFF",
"#FFEDFF",
"#FFEBFF",
"#FFE9FF",
"#FFE7FF",
"#FFE5FF",
"#FFE2FF",
"#FFE0FE",
"#FFDFFC",
"#FFDEFA",
"#FFDDF8",
"#FFDCF6",
"#FDDBF4", # 15
"#FDDBEE",
"#FDDBF1",
"#FDDCEC",
"#FDDDEA",
"#FDDEE8",
"#FDE0E6",
"#FDE2E5",
"#FDE4E4",
"#FDE6E3",
"#FDE8E3",
"#FDEAE1",
"#FDECE0",
"#FDEEDF",
"#FDF0DE",
"#FDF2DD",
"#FDF4DC",
"#FDF5DB",
"#FDF6DA",
"#FCF6D9",
"#FAF6D8", # 16
"#F8F7D8",
"#F6F8D8",
"#F4F9D7",
"#F2FAD7",
"#F0FBD6",
"#EEFCD6",
"#ECFDD6",
"#EAFED6",
"#E8FFD6",
"#E6FFD8",
"#E4FFDA",
"#E2FFDC",
"#E0FFDE",
"#DFFFE0",
"#DEFFE2",
"#DDFFE4",
"#DCFFE6",
"#DBFFE8",
"#DAFFEA",
"#D9FFEC", # 17
"#D9FEEE",
"#D9FDF0",
"#D9FCF2",
"#D9FBF4",
"#D9FAF6",
"#D9F9F8",
"#D9F8FA",
"#D9F7FC",
"#D9F6FE",
"#D8F4FE",
"#D7F2FE",
"#D6F0FD",
"#D5EDFC",
"#D4EAFB",
"#D3E7FA",
"#D2E4F9",
"#D1E1F8",
"#D0DEF7",
"#CFDAF7",
"#CFD4F8", # 18
"#CFC8F6",
"#D0BAF4",
"#D1AAF2",
"#D39AEE",
"#D58AE9",
"#D77CE0",
"#D970D6",
"#DB68CB",
"#DD61BB",
"#DF5AAC",
"#E0539D",
"#E04B8C",
"#DE437B",
"#DC3B6A",
"#DA335D",
"#D82C50",
"#D62644",
"#D42238",
"#D21E31",
"#D01A2B", # 19
"#CE222A",
"#CC2B29",
"#CB3428",
"#CB4327",
"#CD4E26",
"#D25A25",
"#D86824",
"#DE7823",
"#E48A22",
"#E89E21",
"#EEAB20",
"#F2B71F",
"#F6C31E",
"#FECD1E",
"#F8D11F",
"#EBCE20",
"#DEC921",
"#CCC521",
"#BAC221",
"#A8BE21", # 20
"#94BC21",
"#7FBA23",
"#6CB928",
"#58B92D",
"#4CBA36",
"#42BC40",
"#3ABE4C",
"#35C05B",
"#32C26A",
"#2FC578",
"#2CC886",
"#28C994",
"#24C8A3",
"#21C5B0",
"#1EC1BD",
"#1ABCC9",
"#17B2D1",
"#14A6D6",
"#119ADA",
"#118EDC", # 21
"#1382DC",
"#1576DC",
"#176ADC",
"#195EDB",
"#1B52D9",
"#1D46D7",
"#1F3AD5",
"#212ED3",
"#2324D1",
"#261CCE",
"#2D19CB",
"#341AC8",
"#3B1BC4",
"#421DBF",
"#491FBA",
"#5021B4",
"#5523AB",
"#5825A2",
"#5B2799",
"#5D2A90", # 22
"#5C2E87",
"#5A337E",
"#583875",
"#553B6C",
"#523E63",
"#4F3F5A",
"#4C3F51",
"#493C49",
"#463842",
"#44333C",
"#422E36",
"#402A30",
"#3E262B",
"#3C2427",
"#3A2224",
"#382021",
"#361E1F",
"#341C1D",
"#321A1B",
"#2E1919", # 23
"#2A1717",
"#261515",
"#221313",
"#1E1111",
"#1A0F0F",
"#160D0D",
"#120C0C",
"#0E0B0B",
"#0A0A0A",
"#090909",
"#080808",
"#070707",
"#060606",
"#050505",
"#040404",
"#030303",
"#020202",
"#010101",
"#000000",
]
Min=14.0
Max=24
Step=len(Colors)*10
cm=branca.colormap.LinearColormap(Colors,vmin=Min, vmax=Max).to_step(Step)
inter=round((Max-Min)/Step,10)
escale=[round(Min+i*inter,10) for i in range(0,Step+1)]
Colors_RGB=np.array(cm.colors)*255
def Paint_color(Z3):
Z2=Z3.copy()
Z2[Z2>-min(escale)]=-min(escale)
CZ=np.round(np.trunc(-Z2*1/inter)*inter,4)
PZ=(CZ-Min)/inter
NOT_NULLS=PZ.copy()
NOT_NULLS[np.isnan(NOT_NULLS)] = -max(escale)+inter
RED=NOT_NULLS.copy().astype(int)
GREEN=NOT_NULLS.copy().astype(int)
BLUE=NOT_NULLS.copy().astype(int)
TRANS=PZ.copy()
TRANS[TRANS>-100000000]=255
TRANS[np.isnan(TRANS)] =0
TRANS=TRANS.astype(int)
for i in range(0,len(Colors_RGB)):
RED[RED==i] =Colors_RGB[i][0]
GREEN[GREEN==i] = Colors_RGB[i][1]
BLUE[BLUE==i] = Colors_RGB[i][2]
REDL=list(RED.reshape(-1,1))
GREENL=list(GREEN.reshape(-1,1))
BLUEL=list(BLUE.reshape(-1,1))
TRANSL=list(TRANS.reshape(-1,1))
Col_zeros=np.zeros(len(REDL)).reshape(-1,1)
RED_M=np.append(np.append(np.append(REDL, Col_zeros, axis = 1), Col_zeros, axis = 1),Col_zeros, axis = 1)
GREEN_M=np.append(np.append(np.append(Col_zeros, GREENL, axis = 1), Col_zeros, axis = 1),Col_zeros, axis = 1)
BLUE_M=np.append(np.append(np.append(Col_zeros,Col_zeros, axis = 1), BLUEL, axis = 1),Col_zeros, axis = 1)
TRANS_M=np.append(np.append(np.append(Col_zeros,Col_zeros, axis = 1), Col_zeros, axis = 1),TRANSL, axis = 1)
Z_COLOR=RED_M+GREEN_M+BLUE_M+TRANS_M
if len(RED.shape)>1:
Z_COLOR=Z_COLOR.reshape(RED.shape[0],RED.shape[1],4)
else:
Z_COLOR=Z_COLOR
Z_end=Z_COLOR.astype(int)
return Z_end
def Create_tile(t1,t2,DFF):
df=DFF[(DFF['X']>=t1*256) & (DFF['Y']>=t2*256)]
df=df[(df['X']<(t1+1)*256) & (df['Y']<(t2+1)*256)]
F=Add_pixels(df)
F_C=-np.transpose(F['mag'].values.reshape([256,256]))
F2=Paint_color(F_C)
F2=Image.fromarray(F2.astype("uint8"))
return F2
def Create_tile_V(V):
F=Create_tile(V[0],V[1],V[2])
F.save(V[3]+"\h"+Add_zero(V[0])+"v"+Add_zero(V[1])+".png")
print('Created tile: '+str(V[0])+'_'+str(V[1]))
return F
a=time.time()
cont=0
inicio = time.time()
k=int(2**zoom/16)
def Add(text):
f = open (output+"\map"+"\\tiles\\"+'hist.txt','r')
new_text=f.read()+','+text
f = open (output+"\map"+"\\tiles\\"+'hist.txt','w')
f.write(new_text)
f.close()
try:
f = open (output+"\map"+"\\tiles\\"+'hist.txt','r')
hist=f.read().split(',')
f.close()
except:
hist=[]
for i in range(0,16):
for ii in range(0,16):
if not (str(i)+'_'+str(ii) in hist):
out=output+"\map"+"\\tiles\\"+str(i)+"_"+str(ii)+"\\"+str(zoom)
os.makedirs(out, exist_ok=True)
print('Trying: '+str(i)+'_'+str(ii))
TEXT=folder+'\h'+Add_zero(i)+'v'+Add_zero(ii)+'.csv'
A=pd.read_csv(TEXT,sep=';')
B=A.copy()
B['X']=np.floor(2**zoom*B['X']/2**4/256).astype('int')
B['Y']=np.floor(2**zoom*B['Y']/2**4/256).astype('int')
D=B.groupby(['X','Y']).mean().reset_index()
C=B.groupby(['X','Y']).std().reset_index()
G=B[np.isnan(B['mag'])].groupby(['X','Y']).mean().reset_index()
G['mag']=True
DD=D.merge(C,left_on=['X','Y'],right_on=['X','Y'],how='left')
DDD=DD.merge(G,left_on=['X','Y'],right_on=['X','Y'],how='left')
DDD.columns=['X','Y','mean','std','null']
tiles=DDD[~((DDD['mean']==22) & (DDD['null']!=True) & (DDD['std']==0 | np.isnan(DDD['std']))|np.isnan(DDD['mean']))]
tiles=tiles[['X','Y']]
DF=A.copy()
DF['X']=np.floor(2**zoom*DF['X']/2**4).astype('int')
DF['Y']=np.floor(2**zoom*DF['Y']/2**4).astype('int')
DFF=DF.groupby(['X','Y']).mean().reset_index()
array_tiles=[]
for j in tiles.values:
name='h'+Add_zero(j[0])+'v'+Add_zero(j[1])+'.png'
if not (name in os.listdir(out)):
array_tiles=array_tiles+[tuple(list(j)+[DFF]+[out])]
with ThreadPoolExecutor() as executor1:
executor1.map(Create_tile_V,array_tiles)
try:
Add(str(i)+'_'+str(ii))
except:
f = open (output+"\map"+"\\tiles\\"+'hist.txt','w')
f.write(str(i)+'_'+str(ii))
f.close()
print('Finished: '+str(i)+'_'+str(ii))