Metadata-Version: 2.4
Name: stat_df
Version: 0.1.5
Summary: A library for advanced DataFrame statistics analysis.
Author-email: Andrew Romanov <romanoffnv@gmail.com>
License: MIT
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Dynamic: license-file

# Advanced Dataframe Statistics Library

A library for advanced DataFrame statistics analysis, returns:

```
                                                                                                    
============================================== my_df ===============================================
Leading zeros in columns

   item_num
0  00111223
1  00001223
2  00111200

General stats

    Columns           DTypes  NaN  Unique  Duplicates   Sum  Min   Max  Mean  Median   STD  STD (%)
0        id              int    0       4           0 10.00 1.00  4.00  2.50    2.50  1.29    51.64
1  item_num              str    0       3           1   NaN  NaN   NaN   NaN     NaN   NaN      NaN
2      name    NoneType, str    1       4           0   NaN  NaN   NaN   NaN     NaN   NaN      NaN
3     price  float, NoneType    1       4           0 61.00 0.00 30.50 15.25   15.25 13.04    85.52
4      tags   NoneType, list    1       4           0   NaN  NaN   NaN   NaN     NaN   NaN      NaN
5     stock   NoneType, bool    1       3           1   NaN  NaN   NaN   NaN     NaN   NaN      NaN
Overall data frame length: 4

```


## Installation

You can install the library using pip:

```bash
pip install stat-df 
```

## Importing the Library
```python
import stat_df as sd
```
## Usage
```python
sd.show(my_df) 
```
This command will print out "Leading Zeros in Columns" and "General Stats" data in a nice unified table.

