﻿ Pandas Data Series: Check inequality over the index axis of a given dataframe and a given series - w3resource

# Pandas Data Series: Check inequality over the index axis of a given dataframe and a given series

## Pandas: Data Series Exercise-40 with Solution

Write a Pandas program to check inequality over the index axis of a given dataframe and a given series.

Sample Solution :

Python Code :

``````import pandas as pd
df_data = pd.DataFrame({'W':[68,75,86,80,None],'X':[78,75,None,80,86], 'Y':[84,94,89,86,86],'Z':[86,97,96,72,83]});
sr_data = pd.Series([68, 75, 86, 80, None])
print("Original DataFrame:")
print(df_data)
print("\nOriginal Series:")
print(sr_data)
print("\nCheck for inequality of the said series & dataframe:")
print(df_data.ne(sr_data, axis = 0))
``````

Sample Output:

```Original DataFrame:
W     X   Y   Z
0  68.0  78.0  84  86
1  75.0  75.0  94  97
2  86.0   NaN  89  96
3  80.0  80.0  86  72
4   NaN  86.0  86  83

Original Series:
0    68.0
1    75.0
2    86.0
3    80.0
4     NaN
dtype: float64

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

Python Code Editor:

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## Python: Tips of the Day

Merging two dicts in Python 3.5+ with a single expression

Example:

```# How to merge two dictionaries
# in Python 3.5+

x = {'p': 1, 'q': 3}
y = {'q': 5, 'r': 8}

z = {**x, **y}

z
{'r': 4, 'p': 1, 'q': 3}

z = dict(x, **y)
print(z)
```

Output:

```{'p': 1, 'q': 5, 'r': 8}
```