# pandas-selectable
## What Is It?
`pandas-selectable` adds a `select` accessor to pandas DataFrames and Series. It's like `query` but with the niceties of tab-completion.
## Quickstart
```python
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: import pandas_selectable # magic
In [4]: dta = pd.DataFrame.from_dict({
...: 'A': ['A', 'B', 'C'] * 5,
...: 'B': np.arange(1, 16),
...: 'C': pd.date_range('2020-01-01', periods=15)
...: })
In [5]: dta.head()
Out[5]:
A B C
0 A 1 2020-01-01
1 B 2 2020-01-02
2 C 3 2020-01-03
3 A 4 2020-01-04
4 B 5 2020-01-05
In [6]: dta.select.A == 'B'
Out[6]:
A B C
1 B 2 2020-01-02
4 B 5 2020-01-05
7 B 8 2020-01-08
10 B 11 2020-01-11
13 B 14 2020-01-14
In [7]: dta.select.C >= '2020-01-03'
Out[7]:
A B C
2 C 3 2020-01-03
3 A 4 2020-01-04
4 B 5 2020-01-05
5 C 6 2020-01-06
6 A 7 2020-01-07
7 B 8 2020-01-08
8 C 9 2020-01-09
9 A 10 2020-01-10
10 B 11 2020-01-11
11 C 12 2020-01-12
12 A 13 2020-01-13
13 B 14 2020-01-14
14 C 15 2020-01-15
In [8]: dta.select.A.str.contains('A')
Out[8]:
A B C
0 A 1 2020-01-01
3 A 4 2020-01-04
6 A 7 2020-01-07
9 A 10 2020-01-10
12 A 13 2020-01-13
In [9]: dta.select.C.dt.is_month_start
Out[9]:
A B C
0 A 1 2020-01-01
```
It also works for Series.
```python
In [10]: dta.A.select == 'A'
Out[10]:
0 A
3 A
6 A
9 A
12 A
Name: A, dtype: object
```
Though the string and datetime accessor APIs are slightly inconsistent. They're available via the select accessor now.
```python
In [11]: dta.A.select.str.contains('B')
Out[11]:
1 B
4 B
7 B
10 B
13 B
Name: A, dtype: object
```
## Requirements
[pandas](https://pandas.pydata.org/) >= 1.1
## Installation
```bash
pip install pandas-selectable
```
pandas_selectable-1.0.tar.gz
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pandas_selectable-1.0.tar.gz （10个子文件） 
pandas_selectable-1.0 pandas_selectable 
__init__.py 7KB pandas_selectable.egg-info 
SOURCES.txt 227B top_level.txt 18B PKG-INFO 213B dependency_links.txt 1B setup.py 175B PKG-INFO 213B pyproject.toml 306B setup.cfg 38B README.md 2KB资源评论
