#   
#  Overview

The **`empty` property** of the `DataFrame` class indicates whether a given dataframe is empty. It is a boolean property, meaning it returns `True` if the dataframe is empty. `NaNs` values are considered to be valid entries in the dataframe, and hence if the data frame contains only `NaNs`, it is not considered empty.

> **Note:** Refer to [What is pandas in Python](https://www.educative.io/answers/what-is-pandas-in-python) to learn more about pandas.

## 
## Syntax


```python
Dataframe.empty
```
 
## Example 

import pandas as pd
import numpy as np

df = pd.DataFrame({"col1" : []})
print(df)
print("Is the above dataframe empty? %s" % (df.empty, ))

print("-" * 5)
df = pd.DataFrame({"col1" : [np.nan], "col2" : [np.nan]})
print(df)
print("Is the above dataframe empty? %s" % (df.empty, ))

python39

# 
## Explanation

- Lines 1–2: We import the `pandas` and `numpy` modules.
- Line 4: We define an empty dataframe, `df`.
- Lines 5–6: We print the value of the `empty` attribute on `df`.
- Line 9: We assign a new data frame with `NaNs` to the `df` dataframe.
- Lines 5–6: We print the value of the `empty` attribute on `df`.


pandas.tar.gz

How to check if a pandas dataframe is empty

Verify if a pandas dataframe is empty using the boolean property 'DataFrame.empty'. NaNs are not considered empty.