statement-parser - pypi Package Compare versions

Comparing version 0.0.7 to 0.0.8

PKG-INFO

 Metadata-Version: 2.2
 Name: statement_parser
-Version: 0.0.7
+Version: 0.0.8
 Summary: Bank Statement Parser is a Python library designed to parse and normalize transaction data from various bank statement formats ( CSV, Excel, etc.) into a consistent and easy-to-use Pandas DataFrame. It supports multiple banks and file formats, making it a versatile tool for financial data analysis.
@@ -5,0 +5,0 @@ Author-email: Khuzema Challawala <[e-mail]>

pyproject.toml

@@ -7,3 +7,3 @@ [build-system]
 name = "statement_parser"
-version = "0.0.7"
+version = "0.0.8"
 authors = [
@@ -10,0 +10,0 @@ { name="Khuzema Challawala", email="[e-mail]" },

statement_parser.egg-info/PKG-INFO

 Metadata-Version: 2.2
 Name: statement_parser
-Version: 0.0.7
+Version: 0.0.8
 Summary: Bank Statement Parser is a Python library designed to parse and normalize transaction data from various bank statement formats ( CSV, Excel, etc.) into a consistent and easy-to-use Pandas DataFrame. It supports multiple banks and file formats, making it a versatile tool for financial data analysis.
@@ -5,0 +5,0 @@ Author-email: Khuzema Challawala <[e-mail]>

statement_parser/banks/IciciCredit.py

@@ -70,5 +70,5 @@
 
-        if df["Sr.No."].max() != len(df):
-            raise ValueError("No. of rows does not match {} != {}"
-                             .format(len(df), df["Sr.No."].max()))
+        # if df["Sr.No."].max() != len(df):
+        #     raise ValueError("No. of rows does not match {} != {}"
+        #                      .format(len(df), df["Sr.No."].max()))
         # to handle duplicate on same day
@@ -75,0 +75,0 @@ df["Seq"] = (

statement_parser/banks/KotakDebit.py

@@ -78,4 +78,4 @@ import pandas as pd
 
-        # if df["Sl. No."].max() != len(df):
-        #     raise ValueError("No. of rows does not match")
+        if df["Sl. No."].max() != len(df):
+            raise ValueError("No. of rows does not match")
         # to handle duplicate on same day
@@ -82,0 +82,0 @@ df["Seq"] = (

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