为什么在jupyter笔记本中导入Geopandas时出现错误？

Question

我使用命令var totalEditor = function(cell, onRendered, success, cancel){ //cell - the cell component for the editable cell //onRendered - function to call when the editor has been rendered //success - function to call to pass the successfuly updated value to Tabulator //cancel - function to call to abort the edit and return to a normal cell var price = cell.getData().price; var cellValue = cell.getValue(), input = document.createElement("input"); input.setAttribute("type", "number"); input.value = cellValue; onRendered(function() { input.focus(); input.style.height = "100%"; }); function onChange() { if(input.value >= 0) { success(cell.getRow().getData().quantity = input.value); success(cell.getRow().getData().total = input.value * price);//Thought this would work } else { cancel(); } } //submit new value on blur or change input.addEventListener("blur", onChange); //submit new value on enter input.addEventListener("keydown", function(e){ if(e.keyCode == 13){ onChange(); } if(e.keyCode == 27){ cancel(); } }); return input; }; //custom mutator for static total calculation var totalMutator = function(value, data, type, params, mutatorParams){ var qty = data.quantity; var price = data.price; return (Math.abs(qty) * Math.abs(price)); } var table = new Tabulator("#example-table", { //data:array2, layout:"fitColumns", placeholder:"No Data Set", reactiveData: true, columnCalcs:"both", initialSort:[ {column:"name", dir:"asc"}, //sort by this first ], columns:[ {title:"SKU", field:"sku", sorter:"string", width:100}, {title:"Name", field:"name", sorter:"string",headerFilter:"input"}, {title:"Price", field:"price", formatter: "money", formatterParams: { decimal: ".", thousand: ",", symbol: "$", precision: false,}, sorter:"number", width:100, align:"center"}, {title:"Quantity", width:100, field:"quantity", align:"center", editor:totalEditor, editorParams:{min:0,max:1000,step:1,}}, {title: "Total", width:100, field:"total", sorter:"number", align: "center", formatter: "money",formatterParams: { decimal: ".", thousand: ",", symbol: "$"}}, ], }); 安装了geopandas

然后，我尝试在conda install --channel conda-forge geopandas笔记本中导入geopandas。

jupyter

然后出现以下错误：

import geopandas as gp

这是已安装软件包的列表

ImportError: dlopen(/Users/mac/anaconda3/lib/python3.7/site-packages/fiona/ogrext.cpython-37m-darwin.so, 2): Library not loaded: @rpath/libgif.7.dylib
  Referenced from: /Users/mac/anaconda3/lib/libgdal.20.dylib
  Reason: image not found

我尝试使用# packages in environment at /Users/mac/anaconda3: # # Name Version Build Channel _anaconda_depends 2019.03 py37_0 _ipyw_jlab_nb_ext_conf 0.1.0 py37_0 alabaster 0.7.12 py37_0 anaconda custom py37_1 anaconda-client 1.7.2 py37_0 anaconda-navigator 1.9.7 py37_0 anaconda-project 0.8.3 py_0 appnope 0.1.0 py37_0 appscript 1.1.0 py37h1de35cc_0 asn1crypto 0.24.0 py37_0 astroid 2.2.5 py37_0 astropy 3.2.1 py37h1de35cc_0 atomicwrites 1.3.0 py37_1 attrs 19.1.0 py37_1 babel 2.7.0 py_0 backcall 0.1.0 py37_0 backports 1.0 py_2 backports.functools_lru_cache 1.5 py_2 backports.os 0.1.1 py37_0 backports.shutil_get_terminal_size 1.0.0 py37_2 backports.tempfile 1.0 py_1 backports.weakref 1.0.post1 py_1 beautifulsoup4 4.7.1 py37_1 bitarray 0.9.3 py37h1de35cc_0 bkcharts 0.2 py37_0 blas 1.0 mkl bleach 3.1.0 py37_0 blosc 1.16.3 hd9629dc_0 bokeh 1.2.0 py37_0 boost-cpp 1.70.0 hd59e818_1 conda-forge boto 2.49.0 py37_0 bottleneck 1.2.1 py37h1d22016_1 bzip2 1.0.8 h1de35cc_0 ca-certificates 2019.9.11 hecc5488_0 conda-forge cairo 1.14.12 h9d4d9ac_1005 conda-forge certifi 2019.9.11 py37_0 conda-forge cffi 1.12.3 py37hb5b8e2f_0 chardet 3.0.4 py37_1 click 7.0 py37_0 click-plugins 1.1.1 py_0 conda-forge cligj 0.5.0 py_0 conda-forge cloudpickle 1.2.1 py_0 clyent 1.2.2 py37_1 colorama 0.4.1 py37_0 conda 4.7.12 py37_0 conda-forge conda-build 3.18.8 py37_0 conda-env 2.6.0 1 conda-package-handling 1.3.11 py37_0 conda-verify 3.4.2 py_1 contextlib2 0.5.5 py37_0 cryptography 2.7 py37ha12b0ac_0 curl 7.65.2 ha441bb4_0 cycler 0.10.0 py37_0 cython 0.29.12 py37h0a44026_0 cytoolz 0.10.0 py37h1de35cc_0 dask 2.1.0 py_0 dask-core 2.1.0 py_0 dbus 1.13.6 h90a0687_0 decorator 4.4.0 py37_1 defusedxml 0.6.0 py_0 distributed 2.1.0 py_0 docutils 0.14 py37_0 entrypoints 0.3 py37_0 et_xmlfile 1.0.1 py37_0 expat 2.2.6 h0a44026_0 fastcache 1.1.0 py37h1de35cc_0 filelock 3.0.12 py_0 fiona 1.8.4 py37h9a122fd_0 flask 1.1.1 py_0 fontconfig 2.13.1 h1027ab8_1000 conda-forge freetype 2.9.1 hb4e5f40_0 freexl 1.0.5 h1de35cc_1002 conda-forge future 0.17.1 py37_0 gdal 2.3.3 py37hbe65578_0 geopandas 0.6.0 py_0 conda-forge geos 3.7.1 h0a44026_1000 conda-forge get_terminal_size 1.0.0 h7520d66_0 gettext 0.19.8.1 h15daf44_3 gevent 1.4.0 py37h1de35cc_0 giflib 5.1.7 h01d97ff_1 conda-forge glib 2.56.2 hd9629dc_0 glob2 0.7 py_0 gmp 6.1.2 hb37e062_1 gmpy2 2.0.8 py37h6ef4df4_2 greenlet 0.4.15 py37h1de35cc_0 h5py 2.9.0 py37h3134771_0 hdf4 4.2.13 0 conda-forge hdf5 1.10.4 hfa1e0ec_0 heapdict 1.0.0 py37_2 html5lib 1.0.1 py37_0 icu 58.2 h4b95b61_1 idna 2.8 py37_0 imageio 2.5.0 py37_0 imagesize 1.1.0 py37_0 importlib_metadata 0.17 py37_1 intel-openmp 2019.4 233 ipykernel 5.1.1 py37h39e3cac_0 ipython 7.6.1 py37h39e3cac_0 ipython_genutils 0.2.0 py37_0 ipywidgets 7.5.0 py_0 isort 4.3.21 py37_0 itsdangerous 1.1.0 py37_0 jbig 2.1 h4d881f8_0 jdcal 1.4.1 py_0 jedi 0.13.3 py37_0 jinja2 2.10.1 py37_0 joblib 0.13.2 py37_0 jpeg 9b he5867d9_2 json-c 0.13.1 h1de35cc_1001 conda-forge json5 0.8.4 py_0 jsonschema 3.0.1 py37_0 jupyter 1.0.0 py37_7 jupyter_client 5.3.1 py_0 jupyter_console 6.0.0 py37_0 jupyter_core 4.5.0 py_0 jupyterlab 1.0.2 py37hf63ae98_0 jupyterlab_server 1.0.0 py_0 kealib 1.4.10 hecf890f_1003 conda-forge keyring 18.0.0 py37_0 kiwisolver 1.1.0 py37h0a44026_0 krb5 1.16.1 hddcf347_7 lazy-object-proxy 1.4.1 py37h1de35cc_0 libarchive 3.3.3 h786848e_5 libcurl 7.65.2 h051b688_0 libcxx 4.0.1 hcfea43d_1 libcxxabi 4.0.1 hcfea43d_1 libdap4 3.19.1 h3d3e54a_0 libedit 3.1.20181209 hb402a30_0 libffi 3.2.1 h475c297_4 libgdal 2.3.3 h0950a36_0 libgfortran 3.0.1 h93005f0_2 libiconv 1.15 hdd342a3_7 libkml 1.3.0 hed7d534_1010 conda-forge liblief 0.9.0 h2a1bed3_2 libnetcdf 4.6.1 hd5207e6_2 libpng 1.6.37 ha441bb4_0 libpq 11.2 h051b688_0 libsodium 1.0.16 h3efe00b_0 libspatialindex 1.9.0 h6de7cb9_1 conda-forge libspatialite 4.3.0a h0cd9627_1026 conda-forge libssh2 1.8.2 ha12b0ac_0 libtiff 4.0.10 hcb84e12_2 libxml2 2.9.9 hf6e021a_1 libxslt 1.1.33 h33a18ac_0 llvm-openmp 4.0.1 hcfea43d_1 llvmlite 0.29.0 py37h98b8051_0 locket 0.2.0 py37_1 lxml 4.3.4 py37hef8c89e_0 lz4-c 1.8.1.2 h1de35cc_0 lzo 2.10 h362108e_2 markupsafe 1.1.1 py37h1de35cc_0 matplotlib 3.1.0 py37h54f8f79_0 mccabe 0.6.1 py37_1 mistune 0.8.4 py37h1de35cc_0 mkl 2019.4 233 mkl-service 2.0.2 py37h1de35cc_0 mkl_fft 1.0.12 py37h5e564d8_0 mkl_random 1.0.2 py37h27c97d8_0 mock 3.0.5 py37_0 more-itertools 7.0.0 py37_0 mpc 1.1.0 h6ef4df4_1 mpfr 4.0.1 h3018a27_3 mpmath 1.1.0 py37_0 msgpack-python 0.6.1 py37h04f5b5a_1 multipledispatch 0.6.0 py37_0 munch 2.3.2 py_0 conda-forge navigator-updater 0.2.1 py37_0 nbconvert 5.5.0 py_0 nbformat 4.4.0 py37_0 ncurses 6.1 h0a44026_1 networkx 2.3 py_0 nltk 3.4.4 py37_0 nose 1.3.7 py37_2 notebook 6.0.0 py37_0 numba 0.44.1 py37h6440ff4_0 numexpr 2.6.9 py37h7413580_0 numpy 1.16.4 py37hacdab7b_0 numpy-base 1.16.4 py37h6575580_0 numpydoc 0.9.1 py_0 olefile 0.46 py37_0 openjpeg 2.3.1 hdc36067_1 conda-forge openpyxl 2.6.2 py_0 openssl 1.1.1c h01d97ff_0 conda-forge packaging 19.0 py37_0 pandas 0.24.2 py37h0a44026_0 pandoc 2.2.3.2 0 pandocfilters 1.4.2 py37_1 parso 0.5.0 py_0 partd 1.0.0 py_0 path.py 12.0.1 py_0 pathlib2 2.3.4 py37_0 patsy 0.5.1 py37_0 pcre 8.43 h0a44026_0 pep8 1.7.1 py37_0 pexpect 4.7.0 py37_0 pickleshare 0.7.5 py37_0 pillow 6.1.0 py37hb68e598_0 pip 19.1.1 py37_0 pixman 0.34.0 h1de35cc_1003 conda-forge pkginfo 1.5.0.1 py37_0 pluggy 0.12.0 py_0 ply 3.11 py37_0 poppler 0.65.0 ha097c24_1 poppler-data 0.4.9 1 conda-forge proj4 5.2.0 h6de7cb9_1006 conda-forge prometheus_client 0.7.1 py_0 prompt_toolkit 2.0.9 py37_0 psutil 5.6.3 py37h1de35cc_0 ptyprocess 0.6.0 py37_0 py 1.8.0 py37_0 py-lief 0.9.0 py37h1413db1_2 pycodestyle 2.5.0 py37_0 pycosat 0.6.3 py37h1de35cc_0 pycparser 2.19 py37_0 pycrypto 2.6.1 py37h1de35cc_9 pycurl 7.43.0.3 py37ha12b0ac_0 pyflakes 2.1.1 py37_0 pygments 2.4.2 py_0 pylint 2.3.1 py37_0 pyodbc 4.0.26 py37h0a44026_0 pyopenssl 19.0.0 py37_0 pyparsing 2.4.0 py_0 pyproj 1.9.6 py37h9c430a6_0 pyqt 5.9.2 py37h655552a_2 pyrsistent 0.14.11 py37h1de35cc_0 pysocks 1.7.0 py37_0 pytables 3.5.2 py37h5bccee9_1 pytest 5.0.1 py37_0 pytest-arraydiff 0.3 py37h39e3cac_0 pytest-astropy 0.5.0 py37_0 pytest-doctestplus 0.3.0 py37_0 pytest-openfiles 0.3.2 py37_0 pytest-remotedata 0.3.1 py37_0 python 3.7.3 h359304d_0 python-dateutil 2.8.0 py37_0 python-libarchive-c 2.8 py37_11 python.app 2 py37_9 pytz 2019.1 py_0 pywavelets 1.0.3 py37h1d22016_1 pyyaml 5.1.1 py37h1de35cc_0 pyzmq 18.0.0 py37h0a44026_0 qt 5.9.7 h468cd18_1 qtawesome 0.5.7 py37_1 qtconsole 4.5.1 py_0 qtpy 1.8.0 py_0 readline 7.0 h1de35cc_5 requests 2.22.0 py37_0 rope 0.14.0 py_0 rtree 0.8.3 py37h666c49c_1002 conda-forge ruamel_yaml 0.15.46 py37h1de35cc_0 scikit-image 0.15.0 py37h0a44026_0 scikit-learn 0.21.2 py37h27c97d8_0 scipy 1.3.0 py37h1410ff5_0 seaborn 0.9.0 py37_0 send2trash 1.5.0 py37_0 setuptools 41.0.1 py37_0 shapely 1.6.4 py37h79c6f3e_1005 conda-forge simplegeneric 0.8.1 py37_2 singledispatch 3.4.0.3 py37_0 sip 4.19.8 py37h0a44026_0 six 1.12.0 py37_0 snappy 1.1.7 he62c110_3 snowballstemmer 1.9.0 py_0 sortedcollections 1.1.2 py37_0 sortedcontainers 2.1.0 py37_0 soupsieve 1.8 py37_0 sphinx 2.1.2 py_0 sphinxcontrib 1.0 py37_1 sphinxcontrib-applehelp 1.0.1 py_0 sphinxcontrib-devhelp 1.0.1 py_0 sphinxcontrib-htmlhelp 1.0.2 py_0 sphinxcontrib-jsmath 1.0.1 py_0 sphinxcontrib-qthelp 1.0.2 py_0 sphinxcontrib-serializinghtml 1.1.3 py_0 sphinxcontrib-websupport 1.1.2 py_0 spyder 3.3.6 py37_0 spyder-kernels 0.5.1 py37_0 sqlalchemy 1.3.5 py37h1de35cc_0 sqlite 3.29.0 ha441bb4_0 statsmodels 0.10.0 py37h1d22016_0 sympy 1.4 py37_0 tbb 2019.8 h770b8ee_0 conda-forge tblib 1.4.0 py_0 terminado 0.8.2 py37_0 testpath 0.4.2 py37_0 tk 8.6.8 ha441bb4_0 toolz 0.10.0 py_0 tornado 6.0.3 py37h1de35cc_0 tqdm 4.32.1 py_0 traitlets 4.3.2 py37_0 unicodecsv 0.14.1 py37_0 unixodbc 2.3.7 h1de35cc_0 urllib3 1.24.2 py37_0 wcwidth 0.1.7 py37_0 webencodings 0.5.1 py37_1 werkzeug 0.15.4 py_0 wheel 0.33.4 py37_0 widgetsnbextension 3.5.0 py37_0 wrapt 1.11.2 py37h1de35cc_0 wurlitzer 1.0.2 py37_0 xerces-c 3.2.2 h4db8090_1003 conda-forge xlrd 1.2.0 py37_0 xlsxwriter 1.1.8 py_0 xlwings 0.15.8 py37_0 xlwt 1.3.0 py37_0 xz 5.2.4 h1de35cc_4 yaml 0.1.7 hc338f04_2 zeromq 4.3.1 h0a44026_3 zict 1.0.0 py_0 zipp 0.5.1 py_0 zlib 1.2.11 h1de35cc_3 zstd 1.3.7 h5bba6e5_0 对其进行修复，而我的conda config --set channel_priority strict文件如下所示：

.condarc

但是问题仍然存在。我该如何解决？