I have below ddataframe
domain hostname ip address status managed by monitor target name
0 jetty.com aabb XXX.XX.XX.XXX Deployed Sec Team aabb.jetty.com
1 jetty.com axcd XXX.XX.XX.XXX Deployed Sec Team axcd.jetty.com
Now I have another csv file reporst.csv
"domain","hostname","ip address","managed by", "monitor target name"
"jetty.com","aabb","XXX.XX.XX.XXX", "Decreased","OP Team", "aabb.jetty.com"
"jetty.com","axcd","XXX.XX.XX.XXX", "Decreased","OP2 Team", "axcd.jetty.com"
"jetty.com","appd","XXX.XX.XX.XXX", "Dec","OP8 Team", "appd.jetty.com"
Now I want to compare the df to this csv and then update the csv to the below
"domain","hostname","ip address","managed by", "monitor target name"
"jetty.com","aabb","XXX.XX.XX.XXX", "Deployed","OP Team", "aabb.jetty.com"
"jetty.com","axcd","XXX.XX.XX.XXX", "Deployed","OP Team", "axcd.jetty.com"
"jetty.com","appd","XXX.XX.XX.XXX", "Dec","OP8 Team", "appd.jetty.com"
Now it is updated and look same as it is in the df
How can I update the csv according to the df value but not tough the other rows in the csv which are there already
Use:
df2 = pd.read_csv('reporst.csv')
df1 = ddataframe.set_index(['domain','hostname','ip address'])
df2 = reporst.set_index(['domain','hostname','ip address'])
df2.update(df1)
df2.to_csv('out.csv')
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