Pandas
来自Jack's Lab
（版本间的差异）
(以“== Quick Start == <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <b...”为内容创建页面) |
(→Quick Start) |
||
| 第1行： | 第1行： | ||
== Quick Start == | == Quick Start == | ||
| + | |||
| + | test.csv: | ||
| + | |||
| + | <pre> | ||
| + | name,time,Humi,Temp,dev_id,mac | ||
| + | temphumi,1526197529000000000,39.3,27.0,NOD78783243232,AABBCCDDEEFF | ||
| + | temphumi,1526202738000000000,39.3,26.9,NOD78783243232,AABBCCDDEEFF | ||
| + | temphumi,1526203290000000000,39.4,26.9,NOD78783243232,AABBCCDDEEFF | ||
| + | temphumi,1526203298000000000,39.4,26.9,NOD78783243232,AABBCCDDEEFF | ||
| + | temphumi,1526203303000000000,39.4,26.9,NOD78783243232,AABBCCDDEEFF | ||
| + | </pre> | ||
| + | |||
| + | <source lang=python> | ||
| + | Python 2.7.14 (default, Sep 23 2017, 22:06:14) | ||
| + | [GCC 7.2.0] on linux2 | ||
| + | Type "help", "copyright", "credits" or "license" for more information. | ||
| + | >>> import pandas as pd | ||
| + | >>> d=pd.read_csv('test.csv', date_parser=lambda x: pd.to_datetime(float(x)), index_col='time') | ||
| + | |||
| + | >>> d=d.drop(columns=['name']) | ||
| + | >>> d | ||
| + | Humi Temp dev_id mac | ||
| + | time | ||
| + | 2018-05-13 07:45:29 39.3 27.0 NOD78783243232 AABBCCDDEEFF | ||
| + | 2018-05-13 09:12:18 39.3 26.9 NOD78783243232 AABBCCDDEEFF | ||
| + | 2018-05-13 09:21:30 39.4 26.9 NOD78783243232 AABBCCDDEEFF | ||
| + | 2018-05-13 09:21:38 39.4 26.9 NOD78783243232 AABBCCDDEEFF | ||
| + | 2018-05-13 09:21:43 39.4 26.9 NOD78783243232 AABBCCDDEEFF | ||
| + | </source> | ||
<br><br> | <br><br> | ||
2018年5月15日 (二) 00:01的版本
Quick Start
test.csv:
name,time,Humi,Temp,dev_id,mac temphumi,1526197529000000000,39.3,27.0,NOD78783243232,AABBCCDDEEFF temphumi,1526202738000000000,39.3,26.9,NOD78783243232,AABBCCDDEEFF temphumi,1526203290000000000,39.4,26.9,NOD78783243232,AABBCCDDEEFF temphumi,1526203298000000000,39.4,26.9,NOD78783243232,AABBCCDDEEFF temphumi,1526203303000000000,39.4,26.9,NOD78783243232,AABBCCDDEEFF
Python 2.7.14 (default, Sep 23 2017, 22:06:14)
[GCC 7.2.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> d=pd.read_csv('test.csv', date_parser=lambda x: pd.to_datetime(float(x)), index_col='time')
>>> d=d.drop(columns=['name'])
>>> d
Humi Temp dev_id mac
time
2018-05-13 07:45:29 39.3 27.0 NOD78783243232 AABBCCDDEEFF
2018-05-13 09:12:18 39.3 26.9 NOD78783243232 AABBCCDDEEFF
2018-05-13 09:21:30 39.4 26.9 NOD78783243232 AABBCCDDEEFF
2018-05-13 09:21:38 39.4 26.9 NOD78783243232 AABBCCDDEEFF
2018-05-13 09:21:43 39.4 26.9 NOD78783243232 AABBCCDDEEFF
