Add parsing transaction data to dataframe

Pipfile

@@ -15,6 +15,7 @@ jupyter = "*"
 py-etherscan-api = "*"
 web3 = "*"
 eth-abi = "*"
+python-dotenv = "*"
 
 [requires]
 python_version = "3.7"

infmon/pd.py

@@ -0,0 +1,24 @@
+import pandas as pd
+
+
+def create_dataframe(tx_interface, tx_list, delete_cols=None, keep_cols=None):
+    """Turn transaction data into pandas dataframe
+
+    :param tx_interface: event interface returned by io.get_event_interface
+    :param tx_list: list of transactions returned by io.get_contract_events
+    :param delete_cols: transaction metadata to delete, default ['data' (after parsing), 'logIndex']
+    :param keep_cols: transaction metadata to keep, default ['blockNumber', 'blockHash', 'transactionHash']
+    :return: dataframe of transaction data and metadata
+    """
+    if delete_cols is None:
+        delete_cols = ['data', 'logIndex']
+    if keep_cols is None:
+        keep_cols = ['blockNumber', 'blockHash', 'transactionHash']
+    df_temp = pd.DataFrame(tx_list)
+
+    df = df_temp.join(
+        pd.DataFrame([tx_interface['decode'](t) for t in tx_list])
+    ).drop(
+        columns=delete_cols
+    ).loc[:, keep_cols + tx_interface['indexed_names'] + tx_interface['names']]
+    return df.copy()