Merge branch 'release/v2.14.6'

CHANGELOG.rst

@@ -4,6 +4,10 @@ Change Log
 [upcoming release] - 2024-..-..
 -------------------------------
 
+[2.14.6] - 2024-04-02
+-------------------------------
+- [FIXED] more futurewarnings and deprecation warnings
+
 [2.14.5] - 2024-03-28
 -------------------------------
 - [CHANGED] added possibility to provide custom weights to switches and transformers (before - always zero) when creating a graph

pandapower/_version.py

@@ -1,2 +1,2 @@
-__version__ = "2.14.0"
+__version__ = "2.14.6"
 __format_version__ = "2.14.0"

pandapower/file_io.py

@@ -12,7 +12,6 @@
 import numpy
 import pandas as pd
 from packaging.version import Version
-from packaging import version
 import sys
 try:
     import xlsxwriter
@@ -25,6 +24,7 @@
 except ImportError:
     openpyxl_INSTALLED = False
 
+from pandapower._version import __version__ as pp_version
 from pandapower.auxiliary import soft_dependency_error, _preserve_dtypes
 from pandapower.auxiliary import pandapowerNet
 from pandapower.std_types import basic_std_types
@@ -101,7 +101,7 @@ def to_excel(net, filename, include_empty_tables=False, include_results=True):
         writer._save()
 
 
-def to_json(net, filename=None, encryption_key=None, store_index_names=False):
+def to_json(net, filename=None, encryption_key=None, store_index_names=None):
     """
         Saves a pandapower Network in JSON format. The index columns of all pandas DataFrames will
         be saved in ascending order. net elements which name begins with "_" (internal elements)
@@ -116,38 +116,23 @@ def to_json(net, filename=None, encryption_key=None, store_index_names=False):
             **encrytion_key** (string, None) - If given, the pandapower network is stored as an
             encrypted json string
 
-            **store_index_names** (bool, False) - If True, an additional dict "index_names" is
-            stored into the json string which includes the index names of the dataframes within the
-            net.
-            Since pandapower does usually not use net[elm].index.name, the default is False.
-
-
         EXAMPLE:
 
              >>> pp.to_json(net, "example.json")
 
     """
     # --- store index names
-    if store_index_names:
-        # To ensure correct index names (see https://github.com/e2nIEE/pandapower/issues/1410),
-        # these are additionally stored to the json file as a dict.
-        if "index_names" in net.keys():
-            raise ValueError("To store DataFrame index names, 'index_names' "
-                             "is used and thus should not be a key of net.")
-        net["index_names"] = {
-            key: net[key].index.name for key in net.keys() if isinstance(
-                net[key], pd.DataFrame) and isinstance(net[key].index.name, str) and \
-                net[key].index.name != ""
-        }
+    if store_index_names is not None:
+        msg = "The input parameter 'store_index_names' of function 'to_json()' is deprecated."
+        if Version(pp_version) < Version("2.15"):
+            warn(msg)
+        else:
+            raise DeprecationWarning(msg)
 
     json_string = json.dumps(net, cls=io_utils.PPJSONEncoder, indent=2)
     if encryption_key is not None:
         json_string = io_utils.encrypt_string(json_string, encryption_key)
 
-    if store_index_names:
-        # remove the key "index_names" to not change net
-        del net["index_names"]
-
     if filename is None:
         return json_string
 

pandapower/io_utils.py

@@ -8,6 +8,7 @@
 import json
 import numbers
 import os
+import io
 import sys
 import types
 import weakref
@@ -514,6 +515,8 @@ def DataFrame(self):
         column_names = self.d.pop('column_names', None)
 
         obj = self.obj
+        if type(obj) == str and (not os.path.isabs(obj) or not obj.endswith('.json')):
+            obj = io.StringIO(obj)
 
         df = pd.read_json(obj, precise_float=True, convert_axes=False, **self.d)
 

setup.py

@@ -34,7 +34,7 @@
 
 setup(
     name='pandapower',
-    version='2.14.5',
+    version='2.14.6',
     author='Leon Thurner, Alexander Scheidler',
     author_email='[email protected], [email protected]',
     description='An easy to use open source tool for power system modeling, analysis and optimization with a high degree of automation.',