저는 비교적 새로운 Python 학생이며, 여전히 내 길을 찾아 다니고 있습니다. . 나는 보통 스택 오버플로를 통해 대답을 꽤 빨리 발견하지만 이 하나가 나를 곤란하게한다.Basemap과 Fiona는 iPython에서지도와 shp 파일을 처리하지 못합니다. Notebook
나는 ipython 노트북에서 작동하도록 모양과 맵 파일을 얻을 수 없다. 나는베이스 맵 또는 피오나 여기
명령입니다 설치할 수없는 것 :
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.colors import Normalize
from matplotlib.collections import PatchCollection
from mpl_toolkits.basemap import Basemap
from shapely.geometry import Point, Polygon, MultiPoint, MultiPolygon
from shapely.prepared import prep
from pysal.esda.mapclassify import Natural_Breaks as nb
from descartes import PolygonPatch
import fiona
from itertools import chain
그리고 오류 :
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-120-17f76aeda5fd> in <module>()
3 from matplotlib.colors import Normalize
4 from matplotlib.collections import PatchCollection
----> 5 from mpl_toolkits.basemap import Basemap
6 from shapely.geometry import Point, Polygon, MultiPoint, MultiPolygon
7 from shapely.prepared import prep
ImportError: No module named 'mpl_toolkits.basemap'
나는 피오나 및 기타 구성 요소에 대한 유사한 오류가 발생합니다. 나 뭐 잘못 했니?
내가 주사위를 사용 해봤 문제없이 과거에하기 matplotlib 및 기타 구성 요소를 설치 한은 그렇게 명령 :
이!conda install basemap
!pip install pyshp
!pip install fiona
!pip install descartes
출력 :
Using Anaconda Cloud api site https://api.anaconda.org
...The following specifications were found to be in conflict:
- basemap -> matplotlib
- basemap -> numpy 1.10*|1.7*|1.8*|1.9*
- basemap -> python 2.7*
- conda -> conda-env *|<2.5|>=2.5.0
- conda -> menuinst
- conda -> pycosat
- conda -> python 2.7*
- conda -> pyyaml
- conda -> requests
- conda-env (target=conda-env-2.4.5-py35_0.tar.bz2) -> python 2.7*|3.3*|3.4*|3.5*
- cycler (target=cycler-0.10.0-py35_0.tar.bz2) -> python 2.7*|3.4*|3.5*
- cycler (target=cycler-0.10.0-py35_0.tar.bz2) -> six
- matplotlib (target=matplotlib-1.5.1-np110py35_0.tar.bz2) -> numpy 1.10*|1.11*|1.6*|1.7*|1.8*|1.9*
- matplotlib (target=matplotlib-1.5.1-np110py35_0.tar.bz2) -> pyqt
- matplotlib (target=matplotlib-1.5.1-np110py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- matplotlib (target=matplotlib-1.5.1-np110py35_0.tar.bz2) -> python-dateutil
- matplotlib (target=matplotlib-1.5.1-np110py35_0.tar.bz2) -> pytz
- matplotlib (target=matplotlib-1.5.1-np110py35_0.tar.bz2) -> tk 8.5.*
- menuinst (target=menuinst-1.3.2-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- mkl-service (target=mkl-service-1.1.2-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- nose (target=nose-1.3.7-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- numexpr (target=numexpr-2.5-np110py35_0.tar.bz2) -> numpy 1.11*|1.6*
- numexpr (target=numexpr-2.5-np110py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- numpy (target=numpy-1.10.4-py35_0.tar.bz2) -> nose
- numpy (target=numpy-1.10.4-py35_0.tar.bz2) -> python 2.7*
- pip (target=pip-8.1.1-py35_1.tar.bz2) -> python 2.7*
- pycosat (target=pycosat-0.6.1-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- pyparsing (target=pyparsing-2.0.3-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- pyqt (target=pyqt-4.11.4-py35_5.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- pyqt (target=pyqt-4.11.4-py35_5.tar.bz2) -> qt >=4.8.6|>=4.8.7
- pyqt (target=pyqt-4.11.4-py35_5.tar.bz2) -> sip >=4.16.4
- python 3.5*
- python-dateutil (target=python-dateutil-2.5.1-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- pytz (target=pytz-2016.2-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- pyyaml (target=pyyaml-3.11-py35_3.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- qt (target=qt-4.8.7-vc14_7.tar.bz2) -> @vc10
- qt (target=qt-4.8.7-vc14_7.tar.bz2) -> @vc14
- qt (target=qt-4.8.7-vc14_7.tar.bz2) -> @vc9
- requests (target=requests-2.9.1-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- scikit-learn (target=scikit-learn-0.17.1-np110py35_0.tar.bz2) -> nose
- scikit-learn (target=scikit-learn-0.17.1-np110py35_0.tar.bz2) -> numpy 1.11*|1.6*
- scikit-learn (target=scikit-learn-0.17.1-np110py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- scikit-learn (target=scikit-learn-0.17.1-np110py35_0.tar.bz2) -> scipy
- scipy (target=scipy-0.17.0-np110py35_0.tar.bz2) -> numpy 1.11*|1.6*
- scipy (target=scipy-0.17.0-np110py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- setuptools (target=setuptools-20.3-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- sip (target=sip-4.16.9-py35_2.tar.bz2) -> python 2.7*|3.4*|3.5*
- six (target=six-1.10.0-py35_0.tar.bz2) -> python 2.6*|2.7*|3.3*|3.4*|3.5*
- tk (target=tk-8.5.18-vc14_0.tar.bz2) -> @vc10
- tk (target=tk-8.5.18-vc14_0.tar.bz2) -> @vc14
- tk (target=tk-8.5.18-vc14_0.tar.bz2) -> @vc9
- wheel (target=wheel-0.29.0-py35_0.tar.bz2) -> python 2.7*|3.3*|3.4*|3.5*
Use "conda info <package>" to see the dependencies for each package.
Requirement already satisfied (use --upgrade to upgrade): pyshp in c:\users\i\anaconda3\lib\site-packages
You are using pip version 8.1.1, however version 8.1.2 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
Collecting fiona
Using cached Fiona-1.7.0.tar.gz
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\i\AppData\Local\Temp\pip-build-30kz6icw\fiona\setup.py",
line 198, in <module>
copy_gdalapi_c(gdalversion)
NameError: name 'gdalversion' is not defined
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in C:\Users\i\AppData\Local\Temp\pip-build-30kz6icw\fiona\
You are using pip version 8.1.1, however version 8.1.2 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
Requirement already satisfied (use --upgrade to upgrade): descartes in c:\users\i\anaconda3\lib\site-packages
You are using pip version 8.1.1, however version 8.1.2 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
노트북 서버의 버전이 4.1.0이고 Python으로 실행 중임 3.5.1 | 아나콘다 4.0.0 (32 비트) | (기본값, 3 월 4 일, 1616, 15:28:01) [MSC v.1900 32 비트 (Intel)]
안녕하세요, 코드의 출력 및 섹션에 대한 따옴표를 포함하여 많은 시간 형식을 사용했지만 형식 오류가 계속 발생하여 결국에는 코드로 모두 채운 다음 실행 취소하도록 수정하려고했습니다. 그러나 작동하지 않았다. – maric
conda-forge 채널에서 설치할 수 있습니까? 'conda -d -c conda-forge pyshp fiona descartes' Windows에서 pip를 사용하면 작동하지 않습니다. (올바른 컴파일러가 필요합니다.) – joris
안녕하세요 @joris 대단히 감사합니다. 파이썬 명령 줄에서이 것을 타이핑 하시겠습니까? 내 무지 미안해. 나는 이것에 정말로 새로운 것이다. – maric