hotfix: data analyzr plotting bars

Author: gargimaheshwari

build/lib/lyzr/data_analyzr/analyzr.py

@@ -226,7 +226,7 @@ def _set_logger(self, log_level, print_log):
         # Optionally, you can set a formatter for the file handler if you want a different format for file logs
         formatter = logging.Formatter(
             "%(asctime)s - %(name)s - %(levelname)s\n%(message)s\n",
-            datefmt="%d-%b-%y %H:%M:%S",
+            datefmt="%d-%b-%y %H:%M:%S %Z",
         )
         formatter.converter = time.gmtime
         file_handler.setFormatter(formatter)

build/lib/lyzr/data_analyzr/utils.py

@@ -43,9 +43,13 @@ def remove_punctuation_from_string(value: str) -> str:
 
 
 def flatten_list(lst: list):
+    return_lst = []
     for el in lst:
         if isinstance(el, list):
-            yield from flatten_list(el)
+            return_lst.extend(flatten_list(el))
+        else:
+            return_lst.append(el)
+    return return_lst
 
 
 def _remove_punctuation_from_numeric_string(value) -> str:
@@ -66,11 +70,9 @@ def convert_to_numeric(df: pd.DataFrame, columns: list[str]) -> pd.DataFrame:
     for col in columns:
         try:
             df = df.dropna(subset=[col])
-            df.loc[:, col] = df.loc[:, col].apply(
-                _remove_punctuation_from_numeric_string
-            )
-            df.loc[:, col] = pd.to_numeric(df.loc[:, col])
-            df.loc[:, col] = df.loc[:, col].astype("float")
+            column_values = df.loc[:, col].apply(remove_punctuation_from_string)
+            column_values = pd.to_numeric(column_values)
+            df.loc[:, col] = column_values.astype("float")
         except Exception:
             pass
     return df.infer_objects()

dist/lyzr-0.1.36-py3-none-any.whl

@@ -1,8 +1,11 @@
 Metadata-Version: 2.1
 Name: lyzr
-Version: 0.1.36
-Home-page: 
+Version: 0.1.37
+Summary: UNKNOWN
+Home-page: UNKNOWN
 Author: lyzr
+License: UNKNOWN
+Platform: UNKNOWN
 Classifier: Programming Language :: Python :: 3
 Classifier: License :: OSI Approved :: MIT License
 Classifier: Operating System :: OS Independent
@@ -162,3 +165,5 @@ response = chatbot.chat("Your question here")
 ## License
 
 `lyzr` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
+
+

dist/lyzr-0.1.36.tar.gz

@@ -1,24 +1,24 @@
 asyncio
-nest_asyncio
-openai==1.3.4
+beautifulsoup4==4.12.2
+langchain==0.0.339
 litellm==1.2.0
 llama-index==0.9.4
-langchain==0.0.339
-python-dotenv>=1.0.0
-beautifulsoup4==4.12.2
-pandas==2.0.2
-weaviate-client==3.25.3
 llmsherpa
 matplotlib==3.8.2
+nest_asyncio
+openai==1.3.4
+pandas==2.0.2
+python-dotenv>=1.0.0
+weaviate-client==3.25.3
 
 [data-analyzr]
-scikit-learn==1.4.0
-statsmodels==0.14.1
 chromadb==0.4.22
-tabulate==0.9.0
-pmdarima==2.0.4
-openpyxl==3.1.2
-redshift_connector==2.0.918
 mysql-connector-python==8.2.0
+openpyxl==3.1.2
+pmdarima==2.0.4
 psycopg2-binary==2.9.9
+redshift_connector==2.0.918
+scikit-learn==1.4.0
 snowflake-connector-python==3.6.0
+statsmodels==0.14.1
+tabulate==0.9.0

dist/lyzr-0.1.37-py3-none-any.whl

@@ -226,7 +226,7 @@ def _set_logger(self, log_level, print_log):
         # Optionally, you can set a formatter for the file handler if you want a different format for file logs
         formatter = logging.Formatter(
             "%(asctime)s - %(name)s - %(levelname)s\n%(message)s\n",
-            datefmt="%d-%b-%y %H:%M:%S",
+            datefmt="%d-%b-%y %H:%M:%S %Z",
         )
         formatter.converter = time.gmtime
         file_handler.setFormatter(formatter)

dist/lyzr-0.1.37.tar.gz

@@ -43,9 +43,13 @@ def remove_punctuation_from_string(value: str) -> str:
 
 
 def flatten_list(lst: list):
+    return_lst = []
     for el in lst:
         if isinstance(el, list):
-            yield from flatten_list(el)
+            return_lst.extend(flatten_list(el))
+        else:
+            return_lst.append(el)
+    return return_lst
 
 
 def _remove_punctuation_from_numeric_string(value) -> str:
@@ -66,11 +70,9 @@ def convert_to_numeric(df: pd.DataFrame, columns: list[str]) -> pd.DataFrame:
     for col in columns:
         try:
             df = df.dropna(subset=[col])
-            df.loc[:, col] = df.loc[:, col].apply(
-                _remove_punctuation_from_numeric_string
-            )
-            df.loc[:, col] = pd.to_numeric(df.loc[:, col])
-            df.loc[:, col] = df.loc[:, col].astype("float")
+            column_values = df.loc[:, col].apply(remove_punctuation_from_string)
+            column_values = pd.to_numeric(column_values)
+            df.loc[:, col] = column_values.astype("float")
         except Exception:
             pass
     return df.infer_objects()

lyzr.egg-info/PKG-INFO

@@ -2,7 +2,7 @@
 
 setup(
     name="lyzr",
-    version="0.1.36",
+    version="0.1.37",
     author="lyzr",
     description="",
     long_description=open("README.md").read(),