df-csv-excel 0.1.41

Commonly used functions for Data Scientists

read_csv_excel

Overview

read_csv_excel is a Python library that provides a collection of common and customized functions for handling data, particularly CSV and Excel data. It simplifies the process of converting data into Pandas DataFrames, performing statistical analysis, and creating visualizations.

Document

Document

Features

• CSV and Excel data conversion to Pandas DataFrames.
• Statistical analysis of DataFrames.
• Customized functions for common data handling tasks.
• Plotting functions for data visualization.

Installation

You can install read_csv_excel using pip:

pip install df-csv-excel

pypi page link is here:(https://pypi.org/project/df-csv-excel/)

Usage read and process data

Here is some examples for the functions, for more details, please refer to (https://pypi.org/project/df-csv-excel/)

from df_csv_excel import read_data 

df = read_data.read_data_by_path('a.xlsx')
df['name'] = read_data.get_feature_from_json(df, 'json_column', ['key_name1', 'key_name2', 'key_name3])
df['time_column'] = read_data.foramt_date_column(df, 'date')

Usage plot data

from df_csv_excel import read_data, plot_data 

df = read_data.read_data_by_path('a.xlsx')
plot_data.plot_histgram(df, 'column_name')

Contributing

If you have suggestions, enhancements, or find issues, please feel free to contribute! Follow the Contribution Guidelines for more details.