How to extract specific columns without index no. and with all the rows in python dataframe?

Question

#df

index  a   b   c
1      2   3   4
2      3   4   5

Please help me how to extract columns "a" and "c" with all the rows but without the index column.

df[["a","c"]] # But index no. is also coming, so how to remove the index no.?

Answer 1

DataFrames and Series will always have an index, you can use:

df[["a","c"]].values

output:

array([[2, 4],
       [3, 5]], dtype=int64)

Answer 2

The simple answer to achieve what the OP was specifically asking for is to add the index parameter as follows. e.g.

df[["b","c"]].to_csv("C:\\Desktop\\File.csv",index=False)

Answer 3

This might work for your case:

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'a': [2, 3],
        'b': [3, 4],
        'c': [4, 5]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns=['a', 'b','c'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using iloc function :\n")
  
# iterate through each row and select
# 0th and 2nd index column respectively.
for i in range(len(df)):
    print(df.iloc[i, 0], df.iloc[i, 2])

Output:

Given Dataframe :
    a  b  c
0  2  3  4
1  3  4  5

Iterating over rows using iloc function :

2 4
3 5

Tested here:

https://onecompiler.com/python/3zht3ravp

Solution source -
Method 3: Using iloc[] function of the DataFrame. :

https://www.geeksforgeeks.org/different-ways-to-iterate-over-rows-in-pandas-dataframe/