data-view 0.0.9

Automated view of dataset

Description

Requirements

• python >= 3.6
• numpy >= 1.16
• pandas >= 0.23
• matplotlib >= 3.02
• IPython >= 7.2.0

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Module, provides the function view, which displays general information on the data:

• Result of method info()
• Result of method describe()
• for numeric / categorical signs - The number of missions in the data (number and percentage for each column)
• grid of histograms
• Top-5 of the most frequent categorical signs (for each)

Parameters (function view):

• d - table with data
• only_numeric - True / False, default: True. True - information output only by numerical signs, False - information output by numerical and categorical signs.
• full_stats - True / False, default: False. False - output information on numerical characteristics without interquartile range, data boundaries without outliers, True - complete output with data character.
• histograms - True / False, default: True. True - output with building histograms for numerical signs, False - without building histograms

Top-5 elements of categorical signs

The table is formed as follows. The postfix (_name / _count) is assigned to the name of the data column:

• _name - category name
• _count - number of elements in this category If there are less than 5 elements in the attribute, then the values ​​in the _count field are filled -1

Usage

$ pip install data_view

$ python3

import pandas as pd

import numpy as np

from data_view import view

d = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]), columns=['a', 'b', 'c'])

view(d, only_numeric=True, histograms=False)