Fix: Updates requirement dependencies, replaces sum with agg

cashdash/dashes/assets.py

@@ -46,9 +46,10 @@ def _setup_dash(self, dash: Dash, data: BookData) -> None:
             transactions_of_account = splits_of_account.merge(
                 transactions, left_on=TRANSACTION, right_index=True
             )
+
             transactions_of_account = transactions_of_account.groupby(
                 DATE
-            ).sum()  # aggregate for one day, use date as index
+            ).agg({VALUE:"sum"}) # aggregate for one day, use date as index
 
             asset_account_transactions.append(transactions_of_account[VALUE])
             asset_account_names.append(accounts.at[account_guid, NAME])

cashdash/dashes/cashflow.py

@@ -325,7 +325,7 @@ def update_figure(
                 # combine splits of asset accounts into one by summing up their value in each transaction
                 asset_splits_folded = asset_splits.groupby(TRANSACTION, as_index=False)[
                     [VALUE]
-                ].sum()
+                ].agg({VALUE:"sum"})
                 asset_splits_folded[ACCOUNT] = "00000000000000000000000000000001"
                 dummy_account = pd.Series(
                     {TYPE: ASSET, NAME: "Assets", DESCRIPTION: "Dummy Asset Account"},

cashdash/dashes/expenses.py

@@ -145,7 +145,7 @@ def update(date_aggregation, selected_accounts) -> go.Figure:
 
                     # Aggregate by day per default, doesn't make much sense to go any more fine-grained because the
                     # finest that sample_books goes are days
-                    transactions_per_day = subtree_transactions.groupby(DATE).sum()
+                    transactions_per_day = subtree_transactions.groupby(DATE).agg({VALUE:"sum"})
                     # Apply aggregation to weeks, months, etc.
                     transactions_resampled = (
                         transactions_per_day[VALUE].resample(rule).sum()

requirements.txt

@@ -1,13 +1,13 @@
-anytree==2.7.3
-black==19.10b0
-cvxpy==1.0.25
-dash==1.7.0
-deprecation==2.0.7
-minizinc==0.2.2
-numpy==1.18.1
-pandas==0.25.3
-plotly==4.4.1
-tabulate==0.8.6
+anytree>=2.7.3
+black>=19.10b0
+cvxpy>=1.0.25
+dash>=1.7.0
+deprecation>=2.0.7
+minizinc>=0.2.2
+numpy>=1.18.1
+pandas>=0.25.3
+plotly>=4.4.1
+tabulate>=0.8.6
 
 # must be installed manually, see README.md:
-# gnucashxml==1.0
+# gnucashxml==1.0