can be easily to convert most of the date time to a standard format or string format
can be easily read a large number of CSV files to a dicttype
easy to use as most of the data returned are pandas DataFrame objects
can be easily saved as csv, excel or json files
can be inserted into MSSQL or MySQL or Mongodb
Installation
pip install lzh
Upgrade
pip install lzh –upgrade
Quick Start
from lzhtools.feed import ReadMarketCSVFiles ReadMarketCSVFiles(2)
return:
ReadMarketCSVFiles.Market
{'XX1':data(pandas.DataFrame),
'XX2':data(pandas.DataFrame),
... ...
'XXn':data(pandas.DataFrame)
}
1 maintainer
Release files for lzhtools 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lzhtools-0.1.0.zip | 12.9 kB | Details |
Release files / lzhtools-0.1.0.zip
| Download URL | lzhtools-0.1.0.zip |
|---|---|
| Size | 12.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1db5d8ac3185937cc4ce37d792c1cd9337fd8f2a64f5f863b0b517ee0664033f
|
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BLAKE2b-256 checksum How to use checksums |
1b9b06482a78fb8d9b73a262437f7253f330985eed138e19f3c98b551d9c8a28
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Uploaded using Trusted Publishing? What is trusted publishing? |
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