I need some help with linux (ubuntu) bash script and pandas commands to manipulate hte csv's

I'm looking for help with both some bash script to manipulate csv files and also pandas commands to manipulate the csv's. The first thing i'm trying to do is to make the latestWkid value of the dictionary in this pandas frame a seperate column. Screen share would really help. 0 Spatial Referece extent 1 {'wkid': 102718, 'latestWkid': 2263} 2 {'wkid': 4326, 'latestWkid': 4326} 3 {'wkid': 4326, 'latestWkid': 4326} 4 {'wkid': 102718, 'latestWkid': 2263} Here is some of the code i've already written in a jupyter notebook import pandas as pd !!cp [login to view URL] [login to view URL] !!csvcut -c 4,9-11,15,16,19,31,35 [login to view URL] > [login to view URL] !!rm [login to view URL] df = pd.read_csv("[login to view URL]", names = ['Title', 'query', 'ServiceDescription', 'geometryType', 'fullExtent', 'SpatialRefereceextent', 'name', 'supportedQueryFormats', 'MaximumRecordCount']) df = [login to view URL](5) df2 = df['SpatialRefereceextent'].astype(str) print(df2) # for col in [login to view URL]: # print(col) def unpack(df, column, fillna=None): ret = None if fillna is None: ret = [login to view URL]([df, [login to view URL]((d for idx, d in df[column].iteritems()))], axis=1) del ret[column] else: ret = [login to view URL]([df, [login to view URL]((d for idx, d in df[column].iteritems())).fillna(fillna)], axis=1) del ret[column] return ret df = unpack(df2, 'Spatial Referece extent', 0)