#include <math.h>
int ifindi(int n,int arr[],int v)
{
int i,begin=0,end=n-1,mid;
if(v<arr[0] || v>arr[n-1])
return -9;
if(n<=0)
return -9;
// mid=rint((end-begin)/2);
while(1)
{
if((end-begin)<=1){
if(arr[begin]==v) return begin;
if(arr[end]==v) return end;
}
mid=begin+rint((end-begin)/2);
// printf("mid=%d\n",mid);
if(v>=arr[begin] && v<arr[mid]) end=mid;
if(v>=arr[mid] && v<=arr[end]) begin=mid;
// printf("begin=%d, end=%d\n",begin,end);
}
}
相册
旅程
python-判断线段与多边形相交
import numpy as np
import matplotlib.pyplot as plt
import shapely.geometry
import descartes
circle = shapely.geometry.Point(5.0, 0.0).buffer(10.0)
clip_poly = shapely.geometry.Polygon([[-9.5, -2], [2, 2], [3, 4], [-1, 3]])
clipped_shape = circle.difference(clip_poly)
line = shapely.geometry.LineString([[-10, -5], [15, 5]])
line2 = shapely.geometry.LineString([[-10, -5], [-5, 0], [2, 3]])
print 'Blue line intersects clipped shape:', line.intersects(clipped_shape)
print 'Green line intersects clipped shape:', line2.intersects(clipped_shape)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(*np.array(line).T, color='blue', linewidth=3, solid_capstyle='round')
ax.plot(*np.array(line2).T, color='green', linewidth=3, solid_capstyle='round')
ax.add_patch(descartes.PolygonPatch(clipped_shape, fc='blue', alpha=0.5))
ax.axis('equal')
plt.show()
Blue line intersects clipped shape: True
Green line intersects clipped shape: False

西郊
情绪-愤怒
RT
竟然也有些许秋意了
python矢量化运算更快速
#coding=utf-8
import core, time, swifter
import numpy as np
from geopy.distance import great_circle
cata=core.read_cata('cata202110.zmap',cata_type='zmap')
####################################################
time1=time.time()
d=cata.apply(lambda x:great_circle((30,102),(x['evla'],x['evlo'])).km,axis=1)
time2=time.time()
print('pandas apply time: ',time2-time1)
####################################################
#time3=time.time()
#d=cata.swifter.apply(lambda x:great_circle((30,102),(x['evla'],x['evlo'])).km,axis=1)
#time4=time.time()
#print('swifter apply time: ',time4-time3)
####################################################
arr=np.array(cata[['evla','evlo']])
time5=time.time()
d=np.apply_along_axis(lambda x:great_circle((30,102),(x[0],x[1])),axis=1,arr=arr)
time6=time.time()
print('numpy apply time: ',time6-time5)
###################################################
def myfunc(a,b,c,d):
return great_circle((a,b),(c,d)).km
vfunc=np.vectorize(myfunc)
time7=time.time()
d=vfunc(arr[:,0],arr[:,1],30,102)
time8=time.time()
print('numpy vectorize time: ',time8-time7)
旅途
vim中的匹配删除
:g/pattern/d 匹配删除
:v/pattern/d 保留匹配
obspy中的时间
from obspy.core import UTCDateTime
t1=UTCDateTime(‘2021-10-19T09:24:56.32’)
t2= UTCDateTime(‘20211019092456.32’)
t3= UTCDateTime(‘2021-10-19 09:24:56.32’)
t4= UTCDateTime(‘20211019 092456.32’)
ts=t1.timestamp # 1634635496.32
t4=UTCDateTime(ts) # UTCDateTime(2021, 10, 19, 9, 24, 56, 320000)
t5=t1+3600 # UTCDateTime(2021, 10, 19, 10, 24, 56, 320000)
t5-t1 # 3600.0
t1.year
t1.julday
t1.weekday
t1.month
t1.day
t1.hour
t1.minute
t1.second
t1.microsecond
obspy中的UTCDateTime提供比默认的datetime更高精度的时间表达与计算。