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Pandas: Get the specified row value of a given DataFrame

Pandas: DataFrame Exercise-47 with Solution

Write a Pandas program to get the specified row value of a given DataFrame.

Sample Solution :

Python Code :

import pandas as pd
d = {'col1': [1, 2, 3, 4, 7], 'col2': [4, 5, 6, 9, 5], 'col3': [7, 8, 12, 1, 11]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
print("Value of Row1")
print(df.iloc[0])
print("Value of Row4")
print(df.iloc[3])

Sample Output:

Original DataFrame
   col1  col2  col3
0     1     4     7
1     2     5     8
2     3     6    12
3     4     9     1
4     7     5    11
Value of Row1
col1    1
col2    4
col3    7
Name: 0, dtype: int64
Value of Row4
col1    4
col2    9
col3    1
Name: 3, dtype: int64     

Python-Pandas Code Editor:

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Next: Write a Pandas program to get the datatypes of columns of a DataFrame.

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Python: Tips of the Day

Inserting if statements using conditional list comprehensions:

x = [1, 2, 3, 4, 5, 6]
result = []
for idx in range(len(x)):
    if x[idx] % 2 == 0:
        result.append(x[idx] * 2)
    else:
        result.append(x[idx])
result

Output:

[1, 4, 3, 8, 5, 12]
[(element * 2 if element % 2 == 0 else element) for element in x]

Output:

[1, 4, 3, 8, 5, 12]
[element * 2 for element in x if element % 2 == 0]

Output:

[4, 8, 12]