Gia*_*leo 5 osgeo gdal python-3.x anaconda conda
目前我已经安装了anaconda。我试图在我的脚本中调用 osgeo.ogr 模块来打开 shapefile，但出现以下错误：
导入错误：dlopen(/Applications/anaconda3/lib/python3.6/site-packages/osgeo/_gdal.cpython-36m-darwin.so, 2)：库未加载：@rpath/libpoppler.71.dylib 引用自：/ Applications/anaconda3/lib/libgdal.20.dylib 原因：找不到图像
我通过 conda 安装了 gdal。
这是 conda 包的列表：
Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36h2fc01ae_0
_r-mutex 1.0.0 anacondar_1
alabaster 0.7.10 py36h174008c_0
anaconda-client 1.6.14 py36_0
anaconda-navigator 1.8.4 py36_0
anaconda-project 0.8.2 py36h9ee5d53_0
appnope 0.1.0 py36hf537a9a_0
appscript 1.0.1 py36h9e71e49_1
asn1crypto 0.24.0 py36_0
astroid 1.6.3 <pip>
astroid 1.6.1 py36_0
astropy 2.0.3 py36h1de35cc_0
attrs 17.4.0 py36_0
babel 2.5.3 py36_0
backports 1.0 py36ha3c1827_1
backports.shutil_get_terminal_size 1.0.0 py36hd7a2ee4_2
beautifulsoup4 4.6.0 py36h72d3c9f_1
bitarray 0.8.1 py36h1de35cc_1
bkcharts 0.2 py36h073222e_0
blaze 0.11.3 py36h02e7a37_0
bleach 2.1.3 <pip>
bleach 2.1.2 py36_0
bokeh 0.12.13 py36h2f9c1c0_0
boost 1.66.0 py36_1 conda-forge
boost-cpp 1.66.0 1 conda-forge
boto 2.48.0 py36hdbc59ac_1
bottleneck 1.2.1 py36hbd380ad_0
bzip2 1.0.6 hd86a083_4
ca-certificates 2018.03.07 0 anaconda
cairo 1.14.10 0 conda-forge
certifi 2018.4.16 <pip>
certifi 2018.4.16 py36_0 anaconda
cffi 1.11.4 py36h342bebf_0
chardet 3.0.4 py36h96c241c_1
click 6.7 py36hec950be_0
cloudpickle 0.5.2 py36_1
clyent 1.2.2 py36hae3ad88_0
colorama 0.3.9 py36hd29a30c_0
conda 4.4.10 py36_0
conda-build 3.4.1 py36_0
conda-env 2.6.0 h36134e3_0
conda-verify 2.0.0 py36he837df3_0
contextlib2 0.5.5 py36hd66e5e7_0
cryptography 2.1.4 py36h842514c_0
curl 7.58.0 ha441bb4_0
cycler 0.10.0 py36hfc81398_0
cyrus-sasl 2.1.26 ha054001_1
cython 0.27.3 py36h6ecb376_0
cytoolz 0.9.0 py36h1de35cc_0
dask 0.16.1 py36_0
dask-core 0.16.1 py36_0
datashape 0.5.4 py36hfb22df8_0
dbus 1.11.0 0 conda-forge
decorator 4.2.1 py36_0
decorator 4.3.0 <pip>
distributed 1.20.2 py36_0
Django 2.0.5 <pip>
docutils 0.14 py36hbfde631_0
entrypoints 0.2.3 py36hd81d71f_2
et_xmlfile 1.0.1 py36h1315bdc_0
expat 2.2.5 hb8e80ba_0
fastcache 1.0.2 py36h1de35cc_2
filelock 2.0.13 py36hf9de95b_0
flask 0.12.2 py36h5658096_0
flask-cors 3.0.3 py36h7387b97_0
font-ttf-dejavu-sans-mono 2.37 h6964260_0
font-ttf-inconsolata 2.001 hcb22688_0
font-ttf-source-code-pro 2.030 h7457263_0
font-ttf-ubuntu 0.83 h8b1ccd4_0
fontconfig 2.12.6 h9850fc5_0
fonts-anaconda 1 h8fa9717_0
freetype 2.8.1 0 conda-forge
freexl 1.0.5 h1de35cc_0
fribidi 1.0.2 h1de35cc_0
gdal 2.2.2 py36hd505dc6_1 anaconda
geojson 2.3.0 <pip>
geos 3.6.2 h5470d99_2
geotiff 1.4.2 1 conda-forge
get_terminal_size 1.0.0 h7520d66_0
gettext 0.19.8.1 h15daf44_3
gevent 1.2.2 py36ha70b9d6_0
giflib 5.1.4 h1035379_1
glib 2.55.0 0 conda-forge
glob2 0.6 py36h94c9186_0
gmp 6.1.2 hb37e062_1
gmpy2 2.0.8 py36hf9c35bd_2
graphite2 1.3.11 h337f25e_1
greenlet 0.4.12 py36hf09ba7b_0
gsl 2.4 h3efe00b_3
h5py 2.7.1 py36h39cdac5_0
harfbuzz 1.7.6 0 conda-forge
hdf4 4.2.13 h39711bb_2
hdf5 1.10.1 ha036c08_1
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h2f9c1c0_0
icu 58.2 h4b95b61_1
idna 2.6 py36h8628d0a_1
imageio 2.2.0 py36h5e01289_0
imagesize 0.7.1 py36h3495948_0
imagesize 1.0.0 <pip>
intel-openmp 2018.0.0 h8158457_8
ipykernel 4.8.0 py36_0
ipython 6.2.1 py36h3dda519_1
ipython_genutils 0.2.0 py36h241746c_0
ipywidgets 7.1.1 py36_0
isort 4.2.15 py36hceb2a01_0
isort 4.3.4 <pip>
itsdangerous 0.24 py36h49fbb8d_1
jbig 2.1 h4d881f8_0
jdcal 1.3 py36h1986823_0
jedi 0.12.0 <pip>
jedi 0.11.1 py36_0
jinja2 2.10 py36hd36f9c5_0
jpeg 9b he5867d9_2
json-c 0.12.1 h6b7fe83_2
jsonschema 2.6.0 py36hb385e00_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.2 py36_0
jupyter_console 5.2.0 py36hccf5b1c_1
jupyter_core 4.4.0 py36h79cf704_0
jupyterlab 0.31.5 py36_0
jupyterlab_launcher 0.10.2 py36_0
kealib 1.4.7 hc1e10f3_5
krb5 1.14.2 h9a779f2_6
lazy-object-proxy 1.3.1 py36h2fbbe47_0
libboost 1.65.1 hcc95346_4
libcurl 7.58.0 hf30b1f0_0
libcxx 4.0.1 h579ed51_0
libcxxabi 4.0.1 hebd6815_0
libdap4 3.19.0 hefe82ba_2 anaconda
libedit 3.1 hb4e282d_0
libffi 3.2.1 h475c297_4
libgdal 2.2.2 h3559a57_1 anaconda
libgfortran 3.0.1 h93005f0_2
libiconv 1.15 hdd342a3_7
libkml 1.3.0 hc0cae1e_3
libnetcdf 4.4.1.1 hdf03fd4_8 anaconda
libntlm 1.4 h1de35cc_2
libpng 1.6.34 he12f830_0
libpq 10.3 hf30b1f0_0
libsodium 1.0.15 hd9e47c5_0
libspatialite 4.3.0a h0a2fa02_18
libssh2 1.8.0 h322a93b_4
libtiff 4.0.9 h0dac147_0
libuuid 1.0.3 h6bb4b03_2
libxml2 2.9.7 hab757c2_0
libxslt 1.1.32 hb819dd2_0
llvm-openmp 4.0.1 hda82c8b_0
llvmlite 0.21.0 py36hff739e7_0
locket 0.2.0 py36hca03003_1
lxml 4.1.1 py36hef8c89e_1
lzo 2.10 h362108e_2
markupsafe 1.0 py36h3a1e703_1
matplotlib 2.1.2 py36h6d6146d_0
mccabe 0.6.1 py36hdaeb55d_0
mistune 0.8.3 py36_0
mkl 2018.0.1 hfbd8650_4
mkl-service 1.1.2 py36h7ea6df4_4
mpc 1.0.3 h7a72875_5
mpfr 3.1.5 h711e7fd_2
mpmath 1.0.0 py36hf1b8295_2
msgpack-python 0.5.1 py36h04f5b5a_0
multipledispatch 0.4.9 py36hc5f92b5_0
navigator-updater 0.1.0 py36h7aee5fb_0
nbconvert 5.3.1 py36h810822e_0
nbformat 4.4.0 py36h827af21_0
ncurses 6.0 hd04f020_2
networkx 2.1 py36_0
nltk 3.2.5 py36h1190bce_0
nose 1.3.7 py36h73fae2b_2
notebook 5.4.0 py36_0
numba 0.36.2 np114py36hc2f221f_0
numexpr 2.6.4 py36habcfcfe_0
numpy 1.14.0 py36h8a80b8c_1
numpydoc 0.8.0 <pip>
numpydoc 0.7.0 py36he54d08e_0
odo 0.5.1 py36hc1af34a_0
olefile 0.45.1 py36_0
openjpeg 2.3.0 h9b27163_0
openpyxl 2.4.10 py36_0
openssl 1.0.2o h26aff7b_0 anaconda
packaging 17.1 <pip>
packaging 16.8 py36he5e8135_0
pandas 0.22.0 py36h0a44026_0
pandoc 1.19.2.1 ha5e8f32_1
pandocfilters 1.4.2 py36h3b0b094_1
pango 1.40.14 0 conda-forge
parso 0.2.0 <pip>
parso 0.1.1 py36hc90e01c_0
partd 0.3.8 py36hf5c4cb8_0
path.py 10.5 py36h7bcb313_0
pathlib2 2.3.0 py36h877a6d8_0
patsy 0.5.0 py36_0
pcre 8.41 hfb6ab37_1
pep8 1.7.1 py36_0
pexpect 4.3.1 py36_0
pickleshare 0.7.4 py36hf512f8e_0
pika 0.11.2 <pip>
pillow 5.0.0 py36hfcce615_0
pip 9.0.1 py36h1555ced_4
pip 10.0.1 <pip>
pixman 0.34.0 hca0a616_3
pkginfo 1.4.1 py36h25bf955_0
pluggy 0.6.0 py36hb1d0581_0
ply 3.10 py36h10e714e_0
poppler 0.61.1 3 conda-forge
poppler-data 0.4.8 hf2eda46_0
proj4 4.9.3 h3f1bf9d_7
prompt_toolkit 1.0.15 py36haeda067_0
psutil 5.4.5 <pip>
psutil 5.4.3 py36h1de35cc_0
ptyprocess 0.5.2 py36he6521c3_0
py 1.5.2 py36ha69170d_0
pycodestyle 2.3.1 py36h83e8646_0
pycodestyle 2.4.0 <pip>
pycosat 0.6.3 py36hee92d8f_0
pycparser 2.18 py36h724b2fc_1
pycrypto 2.6.1 py36h1de35cc_7
pycurl 7.43.0.1 py36hdbc3d79_0
pyflakes 1.6.0 py36hea45e83_0
pygments 2.2.0 py36h240cd3f_0
pylint 1.8.4 <pip>
pylint 1.8.2 py36_0
pyodbc 4.0.22 py36h0a44026_0
pyopenssl 17.5.0 py36h51e4350_0
pyparsing 2.2.0 py36hb281f35_0
pyqt 5.6.0 py36he5c6137_6
PyQt5 5.9.2 <pip>
pysocks 1.6.7 py36hfa33cec_1
pytables 3.4.2 py36hfbd7ab0_2
pytest 3.3.2 py36_0
python 3.6.4 hc167b69_1
python-dateutil 2.6.1 py36h86d2abb_1
python.app 2 py36h54569d5_7
pytz 2017.3 py36hf0bf824_0
pytz 2018.4 <pip>
pywavelets 0.5.2 py36h2710a04_0
pyyaml 3.12 py36h2ba1e63_1
pyzmq 17.0.0 <pip>
pyzmq 16.0.3 py36he48b5ad_0
qt 5.6.2 h9975529_14
qtawesome 0.4.4 py36h468c6fb_0
qtconsole 4.3.1 py36hd96c0ff_0
QtPy 1.4.0 <pip>
qtpy 1.3.1 py36h16bb863_0
r-assertthat 0.2.0 r342hacfac53_0
r-backports 1.1.1 r342h894203a_0
r-base 3.4.2 hc151561_0
r-base64enc 0.1_3 r342h0880998_4
r-bh 1.65.0_1 r342hc3f23d0_0
r-bindr 0.1 r342hb4d41c9_0
r-bindrcpp 0.2 r342h94b3c25_0
r-bit 1.1_12 r342hf8cc2cf_0
r-bit64 0.9_7 r342h1cba8d6_0
r-bitops 1.0_6 r342he7499e7_4
r-blob 1.1.0 r342h4b1ee69_0
r-boot 1.3_20 r342hfe7f006_0
r-broom 0.4.2 r342hfe0d134_0
r-caret 6.0_77 r342h513a81f_0
r-catools 1.17.1 r342hb039934_4
r-cellranger 1.1.0 r342h50a9fb7_0
r-class 7.3_14 r342h43a4a0f_4
r-cluster 2.0.6 r342h26ab8c6_0
r-codetools 0.2_15 r342h7db7eef_0
r-colorspace 1.3_2 r342h18bddb6_0
r-config 0.2 r342ha2bb319_0
r-crayon 1.3.4 r342hdefe7e4_0
r-curl 3.0 r342ha80850a_0
r-cvst 0.2_1 r342hce93a4b_0
r-data.table 1.10.4_1 r342he1ac18a_0
r-dbi 0.7 r342h6aefa47_0
r-dbplyr 1.1.0 r342h9881601_0
r-ddalpha 1.3.1 r342h4276367_0
r-deoptimr 1.0_8 r342h88b17ca_0
r-dichromat 2.0_0 r342hcb53b06_4
r-digest 0.6.12 r342h7ffa501_0
r-dimred 0.1.0 r342hcdfbb48_0
r-dplyr 0.7.4 r342hd462e57_0
r-drr 0.0.2 r342h1687f97_0
r-essentials 1.7.0 r342h8f48fb2_0
r-evaluate 0.10.1 r342h084298f_0
r-forcats 0.2.0 r342hfffa16c_0
r-foreach 1.4.3 r342he26c63b_4
r-foreign 0.8_69 r342hd19c61e_0
r-formatr 1.5 r342h8f6a739_0
r-ggplot2 2.2.1 r342hab9d682_0
r-gistr 0.4.0 r342h701b2b4_0
r-glmnet 2.0_13 r342h4f2bcf4_0
r-glue 1.1.1 r342hfa53b3f_0
r-gower 0.1.2 r342h52ab46c_0
r-gtable 0.2.0 r342h50414d9_0
r-haven 1.1.0 r342h706d249_0
r-hexbin 1.27.1 r342h5ebf162_4
r-highr 0.6 r342h042980c_0
r-hms 0.3 r342hdcc9ba2_0
r-htmltools 0.3.6 r342h6918481_0
r-htmlwidgets 0.9 r342h3fbdbc0_0
r-httpuv 1.3.5 r342hf739786_0
r-httr 1.3.1 r342h7338272_0
r-ipred 0.9_6 r342hca986ca_0
r-irdisplay 0.4.4 r342h7974c32_0
r-irkernel 0.8.9 r342hb51cc2a_0
r-iterators 1.0.8 r342h797f5cf_4
r-jsonlite 1.5 r342h0df1ae0_0
r-kernlab 0.9_25 r342h16d16b8_0
r-kernsmooth 2.23_15 r342hf8f9fa8_4
r-knitr 1.17 r342h398035c_0
r-labeling 0.3 r342h3f609a7_4
r-lattice 0.20_35 r342he33934a_0
r-lava 1.5.1 r342h38a1d13_0
r-lazyeval 0.2.0 r342hda2787d_0
r-lubridate 1.6.0 r342h21d6fc3_0
r-magrittr 1.5 r342hc800aed_4
r-maps 3.2.0 r342hfd4408e_0
r-markdown 0.8 r342hfbdeedd_0
r-mass 7.3_47 r342h998d679_0
r-matrix 1.2_11 r342hb831790_0
r-mgcv 1.8_22 r342hf92f93b_0
r-mime 0.5 r342h0f88ab8_0
r-miniui 0.1.1 r342hdb62d8b_0
r-mnormt 1.5_5 r342h42fb15d_0
r-modelmetrics
小智 0
我在 Mac OS High Sierra 上遇到了类似的问题。在尝试安装和升级软件包的其他解决方案后，我尝试回到稳定版本（以及我的代码工作的时间:)）这里是解决方案：
在终端
1) 进入您的 conda 环境。通过激活 conda 环境来做到这一点：
source activate [your_environment_name]
2）使用定义的libgdal安装gdal：
conda install -c conda-forge gdal "libgdal<2.0"
信息：我在dannguyen 于 2016 年 5 月 22 日发表的评论中发现了这个解决方案。
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