sdf - Python

Introduction

'sdf' is a Python package that allows you to easily manipulate and analyze data. It provides a wide range of tools for data wrangling, cleaning, and visualization.

Installation

You can install 'sdf' using pip:

pip install sdf

Usage

Import 'sdf' into your Python script:

import sdf

Reading data

You can read data from various file formats:

# Read data from CSV file
df = sdf.read_csv('file.csv')

# Read data from Excel file
df = sdf.read_excel('file.xlsx')

# Read data from SQL database
df = sdf.read_sql('database', 'table')

Data wrangling

'sdf' provides a wide range of tools for data wrangling. Here are some examples:

# Select columns
df = df.select_columns(['col1', 'col2'])

# Filter rows
df = df.filter(lambda x: x['col1'] > 10)

# Group by
df = df.groupby('col1').mean()

# Merge
df = sdf.merge(df1, df2, on=['col1', 'col2'], how='outer')

Data visualization

'sdf' also provides tools for data visualization. Here are some examples:

# Scatter plot
df.plot.scatter('col1', 'col2')

# Line plot
df.plot.line(x='col1', y='col2')

# Histogram
df.plot.hist('col1')

Conclusion

'sdf' is a powerful Python package that provides a wide range of tools for data manipulation and visualization. It is easy to install and use, making it a great choice for data scientists, analysts, and engineers.