raw gas data checked in

research/gas_data.csv

@@ -0,0 +1,117 @@
+gas
+194497
+161946
+161946
+166894
+180206
+208602
+208602
+104267
+150405
+188431
+206346
+162512
+162512
+147689
+175238
+187967
+187967
+124809
+124862
+115631
+115035
+532888
+532888
+115969
+167154
+149820
+116358
+216353
+216353
+116184
+125414
+116015
+175658
+115972
+116040
+171490
+286915
+167399
+151168
+150383
+273558
+144872
+138603
+212569
+212569
+150268
+207747
+207747
+261185
+161669
+180924
+145298
+208181
+173503
+173503
+180204
+166664
+269322
+177555
+192597
+192597
+259227
+148617
+160079
+243453
+156594
+143837
+160212
+151783
+226721
+143069
+240584
+240584
+127050
+279420
+197085
+152811
+149836
+145164
+267053
+153801
+186917
+186917
+169466
+163927
+240705
+240705
+144664
+142890
+206903
+136078
+151705
+125696
+172111
+153240
+200236
+200236
+410533
+410533
+193516
+558838
+198975
+198975
+237431
+237431
+237431
+195935
+346933
+242026
+242026
+164318
+279099
+146170
+139927
+162934
+181706

research/uniswap4_gas.py

@@ -28,7 +28,7 @@ if __name__ == '__main__':
 
     num_blocks = 10000
     w3 = Web3(Web3.HTTPProvider(rpc_url, request_kwargs={'timeout':15}))
-    gas_data = pd.DataFrame(columns=['gas_used'])
+    gas_data = pd.DataFrame(columns=['gas'])
     end_block = w3.eth.block_number
     start_block = end_block - num_blocks
 
@@ -60,7 +60,7 @@ if __name__ == '__main__':
                 gas_used = process_transaction(tx, w3)
 
                 if gas_used:
-                    new_data = pd.DataFrame({'gas_used': [gas_used]})
+                    new_data = pd.DataFrame({'gas': [gas_used]})
                     gas_data = pd.concat([gas_data, new_data], ignore_index=True)
                     log.info(f"Transaction {event['transactionHash'].hex()}: Gas used {gas_used}")