A library for advanced DataFrame statistics analysis.
Project description
My Statistics Library
A library for advanced DataFrame statistics analysis, returns:
=========================== df_name ============================
Leading Zeros in Columns
| col1 | col2 |
|---|---|
| 0000000000 | 0D2 |
| 0000001999 | 0D4 |
| 0000006669 | 0D1 |
General Stats
| Columns | DTypes | NaNs | 0_values | Unique | Duplicates | Totals | Min | Max | Mean | Median | STD | STD(%) | Outliers |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| col_1 | str | 0 | 0 | 5000 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| col_2 | str | 0 | 0 | 5000 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| col_3 | str, float | 1254 | 0 | 9 | 4991 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| col_4 | str, float | 1254 | 0 | 9 | 4991 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| col_5 | float | 0 | 74 | 4884 | 116 | 863.66 | -66 | 79.36 | 172.73 | 23.08 | 1.62 | 938.89 | 613.00 |
| col_6 | str | 0 | 0 | 6 | 4994 | NaN |
Installation
You can install the library using pip:
pip install stat-df
Importing the Library
from stat_df import statistics
Usage
statistics.show_stats(<df_name>)
statistics.show_stats(my_df)
will return "Leading Zeros in Columns" and "General Stats" tables.
statistics.show_sctplot(<df_name>, <"column name">)
statistics.show_sctplot(my_df, "SPENDINGS_RUR")
will return a scatter plot on desired column.
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