我正在运行以下python脚本:
#!/usr/bin/python
import os,sys
from scipy import stats
import numpy as np
f=open('data2.txt', 'r').readlines()
N=len(f)-1
for i in range(0,N):
w=f[i].split()
l1=w[1:8]
l2=w[8:15]
list1=[float(x) for x in l1]
list2=[float(x) for x in l2]
result=stats.ttest_ind(list1,list2)
print result[1]
但是我得到的错误如下:
ValueError: could not convert string to float: id
我很困惑.当我在交互式部分中只尝试一行时,而不是使用脚本循环:
>>> from scipy import stats
>>> import numpy as np
>>> f=open('data2.txt','r').readlines()
>>> w=f[1].split()
>>> l1=w[1:8]
>>> l2=w[8:15]
>>> list1=[float(x) for x in l1]
>>> list1
[5.3209183842, 4.6422726719, 4.3788135547, 5.9299061614, 5.9331108706, 5.0287087832, 4.57...]
我运作良好.
任何人都可以解释一下吗？谢谢
GeoDataFrame我从 CSV 文件中获取了以下内容，并经过一些切片CRS和geometry分配
ctf_nom geometry id
0 Prunus mahaleb POINT (429125.795043319 4579664.7564311) 2616
1 Betula pendula POINT (425079.292045901 4585098.09043407) 940
2 Betula pendula POINT (425088.115045896 4585093.66943407) 940
3 Abelia triflora POINT (429116.661043325 4579685.93743111) 2002
4 Abies alba POINT (428219.962044021 4587346.66843531) 797
我已经将 a 转换geometry为str：
from shapely import wkt
df['geometry'] = df['geometry'].apply(wkt.loads)
df_geo = gpd.GeoDataFrame(df, geometry = 'geometry')
并通过以下方式分配了一个crs：
df_geo.crs = {'init' :'epsg:25831'}
df_geo.crs
当我尝试再次按 gdf.to_file()函数保存减少的地理数据帧时，它返回以下属性错误：
AttributeError: 'Series' object has no …
After after retrieving some data, some rows of my dataframe are composed by "string-like" lists, like this one:
bar foo
0 'A' 1
1 'B' 2
2 'B' "['2' ,'3']"
3 'B' '4'
4 'C' "['5' ,'3']"
How could I turn the foo column into int values and take the bigger value with python pandas?
我有以下地理数据框，对应于常规网格：
id grid_id geometry
0 48 0 (POLYGON ((2.052457758079306 41.42493869117656...
1 49 1 (POLYGON ((2.052470852112577 41.42403805731954...
2 215 2 (POLYGON ((2.053641274433816 41.42584917461342...
3 216 3 (POLYGON ((2.053654352531821 41.42494854059127...
4 217 4 (POLYGON ((2.053667430035439 41.42404790642426...
和一个点地理数据框：
id_act geometry
0 4001 POINT (2.183026563657264 41.37459702541483)
1 4003 POINT (2.183012216695291 41.37471411724238)
2 4003 POINT (2.183128113845906 41.37472901746361)
3 3002 POINT (2.182820482338962 41.37482095671629)
4 4003 POINT (2.182945418252172 41.37482221760939)
我正在通过空间连接合并两个数据框：
id_grid = gpd.sjoin(gdf, grid, how="inner", op='intersects')
但它返回以下内容AttributeError：
AttributeError: 'NoneType' object has no attribute 'bounds'
关键是当我调用函数时： …