Asc col ind fix (#17)

* #BFix - Ascending order of column indices

ExtractTable/__version__.py

@@ -1,6 +1,6 @@
 VERSION = (1, 2, 1)
 PRERELEASE = None  # "alpha", "beta" or "rc"
-REVISION = 1
+REVISION = 2
 
 
 def generate_version(version, prerelease=None, revision=None):

ExtractTable/common.py

@@ -30,7 +30,10 @@ def _converter(self, fmt: str, index: bool = False) -> list:
         :param index: row index consideration in the output
         :return: list of tables from converted into the requested output format
         """
-        dfs = [pd.DataFrame.from_dict(table["TableJson"]).T for table in self.data["Tables"]]
+        # To convert the column indices to int to maintain the correct order on a table with more than 9 columns
+        dfs = [pd.DataFrame.from_dict(
+            {int(k): v for k, v in table["TableJson"].items()}, orient="index"
+        ) for table in self.data["Tables"]]
         if fmt in ("df", "dataframe"):
             return dfs
         elif fmt == "dict":

README.md

@@ -9,9 +9,7 @@ The motivation is to make it easy for developers to extract tabular data from im
 
 # Prerequisite
 
-Before we talk/boast about the service, a developer MUST need an API key to use the ExtractTable service. [FREE credits here](https://extracttable.com/trail.html). 
-
-We dominate this market **not in user count but in accuracy, cost, and expiration**. You are most welcomed to [BUY credits here](https://extracttable.com/#pricing) or email me at saradhi@extracttable.com for assistance.
+Before we talk/boast about the service, a developer MUST need an API key to use the ExtractTable service. [FREE credits here](https://extracttable.com/trail.html) - check data privacy in FAQ.
 
 
 # Installation