Python Dataframe - Identify duplicate records

While working on huge datasets, there are chances that during the data collection some data might get repeated as shown in the output cell below. I need to remove such duplicate records so that the dataset can be normalized to be used for further modelling.

import pandas as pd
df_bridge = pd.read_csv ("bridge_data.csv")
df_bridge = df_bridge[["8 - Structure Number","29 - Average Daily Traffic",
                       "45 - Number of Spans in Main Unit", "Bridge Age (yr)","43A - Main Span Material"]]
df_bridge.head()

Output:

	8 - Structure Number	29 - Average Daily Traffic	45 - Number of Spans in Main Unit	Bridge Age (yr)	43A - Main Span Material
0		5602866			7847						3					121			'Steel'
1		5602866			7847						3					121			'Steel'
2		5600340			5232						2					5			'Concrete'
3		705950			18000						1					OH.'			'Steel Continuous'
4		5600545			5400						3					62			'Steel Continuous'

Here, we can see that row 0 and 1 represent the same data, hence i need to identify all such duplicate records, so that i can delete these records for further processing.