# Parquet Example

Install pandas library from Terminal  (C:\ or $)

```
pip install pandas
```

```
import pandas as pd

# Assuming you have a CSV file named 'sample.csv'
# file_path = 'sample.csv'

# file_path = 'https://raw.githubusercontent.com/gchandra10/filestorage/main/sales_100.csv'

# Read the CSV file
df = pd.read_csv(file_path)

# Display the first few rows of the DataFrame
print(df.head())

# Write DataFrame to a Parquet file
df.to_parquet('sample.parquet')
```

* We import the pandas library.
* We assume there's a CSV file named `sample.csv` in the same directory as your Python script.
* We use `pd.read_csv(file_path)` to read the CSV file. The resulting DataFrame (`df`) contains the data from the CSV file.
* `df.head()` Is used to print the first few rows of the DataFrame for a quick data preview.
* df.to\_parquet() to convert data to parquet format

### **How to read the Parquet file?**

```
pip install pandas pyarrow
```

```
import pandas as pd

# Assuming you have a Parquet file named 'sample.parquet'
file_path = 'sample.parquet'

# Read the Parquet file
df = pd.read_parquet(file_path)

# Display the DataFrame
print(df)
```