Get a list of installed python packages

JoeBorgione

I'm going to bite the bullet perform the incremental upgrade from ArcGIS Pro 2.4.0 to 2.4.2.  In a python command window, I can run the pip list command and get the list and/or redirect that command to a file:

pip list

pip list <SPAN class="operator token">></SPAN> C<SPAN class="punctuation token">:</SPAN>\temp\pip<SPAN class="punctuation token">.</SPAN>txt<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Is there a python command that I can run in a spyder console get the same result?  I haven't found anything in my google travels...

DanPatterson_Retired

<SPAN class="punctuation token">(</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">)</SPAN> C<SPAN class="punctuation token">:</SPAN>\<SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN>your install path<SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN>\bin\Python\envs\<SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN>your environment <SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="operator token">></SPAN>conda list
<SPAN class="comment token"># packages in environment at ...</SPAN>
<SPAN class="comment token">#</SPAN>
alabaster                 <SPAN class="number token">0.7</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">12</SPAN>                     py_0
arcgis                    <SPAN class="number token">1.7</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">0</SPAN>                  py36_863    esri
arcgispro                 <SPAN class="number token">2.5</SPAN>                           <SPAN class="number token">0</SPAN>    esri
argh                      <SPAN class="number token">0.26</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">2</SPAN>                   py36_0
asn1crypto                <SPAN class="number token">1.2</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">0</SPAN>                    py36_0
astroid                   <SPAN class="number token">2.3</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">3</SPAN>                    py36_0
atomicwrites              <SPAN class="number token">1.3</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">0</SPAN>                    py36_1
attrs                     <SPAN class="number token">19.1</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">0</SPAN>                   py36_1
autopep8                  <SPAN class="number token">1.4</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">4</SPAN>                      py_0
babel                     <SPAN class="number token">2.7</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">0</SPAN>                      py_0
backcall                  <SPAN class="number token">0.1</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">0</SPAN>                    py36_0
bcrypt                    <SPAN class="number token">3.1</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">7</SPAN>            py36he774522_0
blas                      <SPAN class="number token">1.0</SPAN>                         mkl
bleach                    <SPAN class="number token">3.1</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">0</SPAN>                      py_0
ca<SPAN class="operator token">-</SPAN>certificates           <SPAN class="number token">2019.11</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">27</SPAN>                    <SPAN class="number token">0</SPAN>
certifi                   <SPAN class="number token">2019.11</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">28</SPAN>               py36_0
cffi                      <SPAN class="number token">1.12</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">3</SPAN>           py36h7a1dbc1_0
cftime                    <SPAN class="number token">1.0</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">0b1</SPAN>          py36h452e1ab_0
chardet                   <SPAN class="number token">3.0</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="number token">4</SPAN>                 py36_1003
<SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN><SPAN class="punctuation token">.</SPAN>huge snip<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

Then I do a big select all (right-click the top white margin, edit, select all)

then paste it into notepad++

You can also direct it to a file

conda env export <SPAN class="operator token">></SPAN> c<SPAN class="punctuation token">:</SPAN><SPAN class="operator token">/</SPAN>temp<SPAN class="operator token">/</SPAN>some<SPAN class="punctuation token">.</SPAN>yaml<SPAN class="line-numbers-rows"><SPAN>‍</SPAN></SPAN>

If you want to recreate an environment