Iceblock Processor. Correct FutureWarning.

.idea/csv-plugin.xml

@@ -3,27 +3,6 @@
   <component name="CsvFileAttributes">
     <option name="attributeMap">
       <map>
-        <entry key="/cfatools/processor/flow.py">
-          <value>
-            <Attribute>
-              <option name="separator" value=":" />
-            </Attribute>
-          </value>
-        </entry>
-        <entry key="/cfatools/tests/test_flow/tubing_volumes.csv">
-          <value>
-            <Attribute>
-              <option name="separator" value="," />
-            </Attribute>
-          </value>
-        </entry>
-        <entry key="/cfatools/tests/test_processor/test_flow.py">
-          <value>
-            <Attribute>
-              <option name="separator" value="," />
-            </Attribute>
-          </value>
-        </entry>
         <entry key="/cfatools/tests/test_processor/tubing_volumes.csv">
           <value>
             <Attribute>
@@ -31,13 +10,6 @@
             </Attribute>
           </value>
         </entry>
-        <entry key="/config/tubing_volumes.csv">
-          <value>
-            <Attribute>
-              <option name="separator" value="," />
-            </Attribute>
-          </value>
-        </entry>
       </map>
     </option>
   </component>

cfatools/processor/iceblock.py

@@ -12,14 +12,14 @@ def get_melting_timeseries(iceblock_df: pd.DataFrame) -> pd.DataFrame:
     # Get the mapping between iceblock id and iceblock name (assuming that the last name's modification is the
     # good one.
     mapping_df = iceblock_df[["datetime", "id", "name"]].copy()
-    mapping_df = mapping_df.groupby("id")["id", "name"].tail(1)
+    mapping_df = mapping_df.groupby("id")[["id", "name"]].tail(1)
     mapping_df = mapping_df.append({"id": 0, "name": "None"}, ignore_index=True)
     mapping_df = mapping_df.set_index("id")
     mapping_dict = mapping_df["name"].to_dict()
 
     # Get the datetime of the beginning of each iceblock's melting
     melting_df = iceblock_df[["datetime", "id", "status"]].copy()
-    start_df = melting_df[melting_df["status"] == "Melting"].groupby("id")["datetime", "id"].head(1)
+    start_df = melting_df[melting_df["status"] == "Melting"].groupby("id")[["datetime", "id"]].head(1)
 
     # Get the end of the last iceblock's melting, and set that after that the current melting block is 0/None.
     end_df = melting_df[melting_df["status"] == "Done"].groupby("id").head(1)