﻿ Pandas: Check for inequality of two given DataFrames - w3resource

# Pandas: Check for inequality of two given DataFrames

## Pandas: DataFrame Exercise-80 with Solution

Write a Pandas program to check for inequality of two given DataFrames.

Sample Solution :

Python Code :

``````import pandas as pd
df1 = pd.DataFrame({'W':[68,75,86,80,None],'X':[78,85,None,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]});
df2 = pd.DataFrame({'W':[78,75,86,80,None],'X':[78,85,96,80,76], 'Y':[84,84,89,83,86],'Z':[86,97,96,72,83]});
print("Original DataFrames:")
print(df1)
print(df2)
print("\nCheck for inequality of the said dataframes:")
print(df1.ne(df2))
``````

Sample Output:

```Original DataFrames:
W     X   Y   Z
0  68.0  78.0  84  86
1  75.0  85.0  94  97
2  86.0   NaN  89  96
3  80.0  80.0  83  72
4   NaN  86.0  86  83
W   X   Y   Z
0  78.0  78  84  86
1  75.0  85  84  97
2  86.0  96  89  96
3  80.0  80  83  72
4   NaN  76  86  83

Check for inequality of the said dataframes:
W      X      Y      Z
0   True  False  False  False
1  False  False   True  False
2  False   True  False  False
3  False  False  False  False
4   True   True  False  False
```

Python-Pandas Code Editor:

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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]
```