我试图通过Conda提示符更新我的Pandas软件包，但是，这改变了我的“环境不一致”
我已尝试从以下建议中进行“ conda install anaconda”：The environment is inconsistent, please check the package plan carefully
但是它不能解决问题，失败了
（基本）C：\ Users \ leon> conda安装anaconda
收集包元数据：完成
解决环境：\
环境不一致，请仔细检查包装计划
以下软件包导致了不一致：
- conda-forge / noarch :: altair == 2.1.0 = py_0
- 默认值/ win-64 :: anaconda == custom = py36h363777c_0
- 默认值/win-64::anaconda-navigator==1.9.7=py36_0
- 默认值/win-64::astropy==2.0.2=py36h06391c4_4
- defaults / win-64 :: bkcharts == 0.2 = py36h7e685f7_0
- 默认值/win-64::blaze==0.11.3=py36h8a29ca5_0
- 默认值/win-64::bokeh==1.0.1=py36_0
- 默认值/win-64::bottleneck==1.2.1=py36hd119dfa_0
- conda-forge / win-64 :: catboost == 0.8.1 = py36_0
- 默认值/win-64::dask==0.20.2=py36_0
- 默认值/win-64::datashape==0.5.4=py36h5770b85_0
- conda-forge / noarch :: folium == 0.5.0 = py_0
- 默认值/win-64::h5py==2.7.0=py36hfbe0a52_1
- 默认值/win-64::imageio==2.2.0=py36had6c2d2_0
- conda-forge / win-64 :: keras == 2.2.4 = py36_0
- conda-forge / noarch :: keras-applications == 1.0.4 = py_1
- conda-forge / noarch :: keras-preprocessing == 1.0.2 = py_1
- conda-forge / win-64 :: lightgbm == 2.1.0 = py36_0
- 默认值/win-64::matplotlib==2.1.0=py36h11b4b9c_0
- conda-forge / noarch :: mlxtend == 0.13.0 = py_1
- 默认值/win-64::mro-basics==3.4.3=0
- 默认值/win-64::numba==0.35.0=np113py36_10
- defaults / win-64 :: numexpr == 2.6.2 = py36h7ca04dc_1
- 默认值/win-64::odo==0.5.1=py36h7560279_0
- conda-forge / win-64 :: opencv == 3.4.1 = py36_200
- 默认值/win-64::pandas==0.23.4=py36h830ac7b_0
- 默认值/win-64::patsy==0.4.1=py36h42cefec_0
- 默认值/win-64::py-xgboost==0.7=py36h6538335_0
- conda-forge / win-64 :: pyedflib == 0.1.13 = py36h452e1ab_1
- conda-forge / win-64 :: pygpu == 0.7.6 = py36_0
- 默认值/win-64::pytables==3.4.2=py36h71138e3_2
- pytorch / win-64 :: pytorch == 1.1.0 = py3.6_cuda100_cudnn7_1
- 默认值/win-64::pywavelets==0.5.2=py36hc649158_0
- 默认值/win-64::r-essentials==3.4.3=mro343_0
- 默认值/win-64::r-png==0.1_7=r3.1.3_0a
- 默认值/win-64::r-recommended==3.4.3=mro343_0
- defaults / win-64 :: rstudio == 1.1.423 = h8c352d3_0
- 默认值/win-64::scikit-image==0.13.0=py36h6dffa3f_1
- defaults / win-64 :: scikit-learn == 0.19.1 = py36h53aea1b_0
- 默认值/win-64::seaborn==0.8.0=py36h62cb67c_0
- conda-forge / win-64 :: shapely == 1.6.2 = py36_0
- defaults / win-64 :: statsmodels == 0.8.0 = py36h6189b4c_0
- conda-forge / win-64 :: tensorboard == 1.8.0 = py36_1
- conda-forge / win-64 :: tensorflow == 1.8.0 = py36_1
- conda-forge / win-64 :: theano == 1.0.2 = py36_0
- pytorch / noarch :: torchvision == 0.2.2 = py_3
- conda-forge / noarch :: vincent == 0.4.4 = py_1
失败