Data Extraction From Excel And CSV file Using Python
To extract data from Excel and CSV files using Python, you can use the pandas library.
Here are the steps to extract data from an Excel file:
1. Install pandas library if not already installed:
```
pip install pandas
```
2. Import the pandas library:
```python
import pandas as pd
```
3. Load the Excel file using the `read_excel` function:
```python
data = pd.read_excel('file.xlsx')
```
4. Access the data using the pandas DataFrame:
```python
print(data.head())
```
Here are the steps to extract data from a CSV file:
1. Import the pandas library:
```python
import pandas as pd
```
2. Load the CSV file using the `read_csv` function:
```python
data = pd.read_csv('file.csv')
```
3. Access the data using the pandas DataFrame:
```python
print(data.head())
```
These are the basic steps to extract data from Excel and CSV files using Python and pandas. You can perform various operations on the data such as filtering, sorting, and grouping using the pandas library.
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