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|
%global _empty_manifest_terminate_build 0
Name: python-foxrelax
Version: 0.4.3
Release: 1
Summary: foxrelax
License: BSD License
URL: https://github.com/relaxdl/foxrelax
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a8/34/7b226da3d952768a620355fcf41d2de97bd0cd3a19ae28fe12f574a19d7b/foxrelax-0.4.3.tar.gz
BuildArch: noarch
Requires: python3-pandas
Requires: python3-numpy
Requires: python3-cython
Requires: python3-requests
Requires: python3-enum34
%description
# foxrelax
## Project description
* it’s easy to use because most of the data returned are pandas DataFrame objects
* we have our own data server, efficient and stable operation
* free stock market data
* friendly to machine learning and data mining
## Target Users
* learners of financial data analysis with pandas/NumPy
* financial market analyst
* financial data analysis enthusiasts
* quanters who are interested in stock market
## Installation
```bash
pip install foxrelax
```
## Upgrade
```bash
pip install foxrelax –upgrade
```
## Quick Start
```python
import foxrelax as relax
resp = relax.stock_daily(symbol='000049.SZ',
start_date='2018-01-01',
end_date='2019-11-28')
print('code={0} message={1}'.format(resp.code, resp.message))
print(resp.result)
```
return:
```text
code=0 message=success
symbol trade_date open high low close pre_close \
0 000049.SZ 2018-01-02 39.91 40.18 39.22 39.78 39.59
1 000049.SZ 2018-01-03 39.90 40.59 39.71 40.56 39.78
2 000049.SZ 2018-01-04 41.61 43.18 41.61 42.65 40.56
3 000049.SZ 2018-01-05 42.00 42.45 41.51 42.07 42.65
4 000049.SZ 2018-01-08 42.08 42.38 41.32 41.49 42.07
5 000049.SZ 2018-01-09 41.50 41.60 40.60 40.80 41.49
...
458 000049.SZ 2019-11-21 36.53 36.77 36.00 36.50 36.81
459 000049.SZ 2019-11-22 36.44 37.80 36.30 36.68 36.50
460 000049.SZ 2019-11-25 36.30 36.48 34.93 35.16 36.68
461 000049.SZ 2019-11-26 35.28 35.89 35.00 35.76 35.16
462 000049.SZ 2019-11-27 35.69 37.27 35.40 36.72 35.76
463 000049.SZ 2019-11-28 36.72 38.48 36.50 37.49 36.72
price_change pct_change volume money
0 0.19 0.4800 3197416 126769960
1 0.78 1.9600 3913276 157416236
2 2.09 5.1500 8300770 352188889
3 -0.58 -1.3600 4260338 178822929
4 -0.58 -1.3800 3569519 148331795
5 -0.69 -1.6600 3138719 128433609
...
458 -0.31 -0.8422 4079903 148147523
459 0.18 0.4932 8250452 306343236
460 -1.52 -4.1439 6989292 247534854
461 0.60 1.7065 4304988 153468524
462 0.96 2.6846 7701535 281834519
463 0.77 2.0969 10463935 394639040
```
%package -n python3-foxrelax
Summary: foxrelax
Provides: python-foxrelax
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-foxrelax
# foxrelax
## Project description
* it’s easy to use because most of the data returned are pandas DataFrame objects
* we have our own data server, efficient and stable operation
* free stock market data
* friendly to machine learning and data mining
## Target Users
* learners of financial data analysis with pandas/NumPy
* financial market analyst
* financial data analysis enthusiasts
* quanters who are interested in stock market
## Installation
```bash
pip install foxrelax
```
## Upgrade
```bash
pip install foxrelax –upgrade
```
## Quick Start
```python
import foxrelax as relax
resp = relax.stock_daily(symbol='000049.SZ',
start_date='2018-01-01',
end_date='2019-11-28')
print('code={0} message={1}'.format(resp.code, resp.message))
print(resp.result)
```
return:
```text
code=0 message=success
symbol trade_date open high low close pre_close \
0 000049.SZ 2018-01-02 39.91 40.18 39.22 39.78 39.59
1 000049.SZ 2018-01-03 39.90 40.59 39.71 40.56 39.78
2 000049.SZ 2018-01-04 41.61 43.18 41.61 42.65 40.56
3 000049.SZ 2018-01-05 42.00 42.45 41.51 42.07 42.65
4 000049.SZ 2018-01-08 42.08 42.38 41.32 41.49 42.07
5 000049.SZ 2018-01-09 41.50 41.60 40.60 40.80 41.49
...
458 000049.SZ 2019-11-21 36.53 36.77 36.00 36.50 36.81
459 000049.SZ 2019-11-22 36.44 37.80 36.30 36.68 36.50
460 000049.SZ 2019-11-25 36.30 36.48 34.93 35.16 36.68
461 000049.SZ 2019-11-26 35.28 35.89 35.00 35.76 35.16
462 000049.SZ 2019-11-27 35.69 37.27 35.40 36.72 35.76
463 000049.SZ 2019-11-28 36.72 38.48 36.50 37.49 36.72
price_change pct_change volume money
0 0.19 0.4800 3197416 126769960
1 0.78 1.9600 3913276 157416236
2 2.09 5.1500 8300770 352188889
3 -0.58 -1.3600 4260338 178822929
4 -0.58 -1.3800 3569519 148331795
5 -0.69 -1.6600 3138719 128433609
...
458 -0.31 -0.8422 4079903 148147523
459 0.18 0.4932 8250452 306343236
460 -1.52 -4.1439 6989292 247534854
461 0.60 1.7065 4304988 153468524
462 0.96 2.6846 7701535 281834519
463 0.77 2.0969 10463935 394639040
```
%package help
Summary: Development documents and examples for foxrelax
Provides: python3-foxrelax-doc
%description help
# foxrelax
## Project description
* it’s easy to use because most of the data returned are pandas DataFrame objects
* we have our own data server, efficient and stable operation
* free stock market data
* friendly to machine learning and data mining
## Target Users
* learners of financial data analysis with pandas/NumPy
* financial market analyst
* financial data analysis enthusiasts
* quanters who are interested in stock market
## Installation
```bash
pip install foxrelax
```
## Upgrade
```bash
pip install foxrelax –upgrade
```
## Quick Start
```python
import foxrelax as relax
resp = relax.stock_daily(symbol='000049.SZ',
start_date='2018-01-01',
end_date='2019-11-28')
print('code={0} message={1}'.format(resp.code, resp.message))
print(resp.result)
```
return:
```text
code=0 message=success
symbol trade_date open high low close pre_close \
0 000049.SZ 2018-01-02 39.91 40.18 39.22 39.78 39.59
1 000049.SZ 2018-01-03 39.90 40.59 39.71 40.56 39.78
2 000049.SZ 2018-01-04 41.61 43.18 41.61 42.65 40.56
3 000049.SZ 2018-01-05 42.00 42.45 41.51 42.07 42.65
4 000049.SZ 2018-01-08 42.08 42.38 41.32 41.49 42.07
5 000049.SZ 2018-01-09 41.50 41.60 40.60 40.80 41.49
...
458 000049.SZ 2019-11-21 36.53 36.77 36.00 36.50 36.81
459 000049.SZ 2019-11-22 36.44 37.80 36.30 36.68 36.50
460 000049.SZ 2019-11-25 36.30 36.48 34.93 35.16 36.68
461 000049.SZ 2019-11-26 35.28 35.89 35.00 35.76 35.16
462 000049.SZ 2019-11-27 35.69 37.27 35.40 36.72 35.76
463 000049.SZ 2019-11-28 36.72 38.48 36.50 37.49 36.72
price_change pct_change volume money
0 0.19 0.4800 3197416 126769960
1 0.78 1.9600 3913276 157416236
2 2.09 5.1500 8300770 352188889
3 -0.58 -1.3600 4260338 178822929
4 -0.58 -1.3800 3569519 148331795
5 -0.69 -1.6600 3138719 128433609
...
458 -0.31 -0.8422 4079903 148147523
459 0.18 0.4932 8250452 306343236
460 -1.52 -4.1439 6989292 247534854
461 0.60 1.7065 4304988 153468524
462 0.96 2.6846 7701535 281834519
463 0.77 2.0969 10463935 394639040
```
%prep
%autosetup -n foxrelax-0.4.3
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-foxrelax -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.3-1
- Package Spec generated
|
