Automated view of dataset
Project description
Description
Requirements
- python >= 3.6
- numpy >= 1.16
- pandas >= 0.23
- matplotlib >= 3.02
- IPython >= 7.2.0
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)
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