pandas print first column
df = pd.DataFrame({"Letters": ["a", "b", "c"], "Numbers": [1, 2, 3]})
first_column = df.iloc[:, 0]pandas print first column
df = pd.DataFrame({"Letters": ["a", "b", "c"], "Numbers": [1, 2, 3]})
first_column = df.iloc[:, 0]pandas dataframe sort by column name first 10 values
print df
0 Bytes Client Ip
0 1 1 1000 192.168.10.2
1 0 0 2000 192.168.10.12
2 2 2 500 192.168.10.4
3 3 3 159 192.168.10.56
print df.nlargest(3, 'Client')
0 Bytes Client Ip
1 0 0 2000 192.168.10.12
0 1 1 1000 192.168.10.2
2 2 2 500 192.168.10.4Copyright © 2021 Codeinu
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