我有一个名为rra.py的脚本,它具有以下skelton结构：
usn=""
usnl=[]
from bs4 import BeautifulSoup
import re
import asys
import glob
import os
import sys
import sys
def inputIndex():
#some processsing
def getval():
#some processing
def parsehtml():
#some processsing
def ret():
#some processing
def main():
inputIndex()
ret()
parsehtml()
getval()
print "watsuup"
asys.Compavg()
asys.compSub()
print "nearly done"
return 0
if __name__ == '__main__':
inputIndex()
main()
asys.Compavg()
asys.compSub()
我在上面的脚本rra.py中导入了另一个脚本asys.py,其中包含以下内容.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
import statsmodels.api as sm
from numpy.random import randn
import matplotlib as mpl
import seaborn as sns
sns.set_color_palette("deep", desat=.6)
mpl.rc("figure", figsize=(8, 4))
def Compavg():
data=Total()
markMax=[]
markAvg=[]
N = 5
ind = np.arange(N)
width = 0.35
fig = plt.figure()
ax = fig.add_subplot(111)
markMax.extend((data["Total"].max(),data["Total.1"].max(),data["Total.2"].max(),data["Total.3"].max(),data["Total.4"].max()))
markAvg.extend((data["Total"].mean(),data["Total.1"].mean(),data["Total.2"].mean(),data["Total.3"].mean(),data["Total.4"].mean()))
rects1 = ax.bar(ind, markMax, width, color='black')
rects2 = ax.bar(ind+width, markAvg, width, color='green')
ax.set_xlim(-width,len(ind)+width)
ax.set_ylim(0,120)
ax.set_ylabel('Marks')
ax.set_title('Max, Mean and Your Marks')
xTickMarks = ['Subject'+str(i) for i in range(1,6)]
ax.set_xticks(ind+width)
xtickNames = ax.set_xticklabels(xTickMarks)
plt.setp(xtickNames, rotation=10, fontsize=10)
ax.legend( (rects1[0], rects2[0]), ('Max', 'Mean') )
plt.show()
print "finished reading 1"
def compSub():
#max_data = np.r_[data["Total"]].max()
#bins = np.linspace(0, max_data, max_data + 1)
data=Total()
print data['Total']
plt.hist(data['Total'],linewidth=0, alpha=.7)
plt.hist(data['Total.1'],linewidth=0,alpha=.7)
plt.hist(data['Total.2'],linewidth=0,alpha=.7)
plt.hist(data['Total.3'],linewidth=0,alpha=.7)
plt.hist(data['Total.4'],linewidth=0,alpha=.7)
plt.title("Total marks Histogram")
plt.xlabel("Value")
plt.ylabel("Frequency")
plt.show()
print "finished reading 2"
def Total():
print "going to read"
data=pd.read_csv("output11cs.csv")
df3=data[['Total','Total.1','Total.2','Total.3','Total.4','Total.5','Total.6','Total.7']]
data["Main Total"]=df3.sum(axis=1)
data = data.dropna()
data.reset_index(drop=True)
return data
#compSub()
#Compavg()
当我通过使用python rra.py执行virtualenv之外的rra.py(甚至在virtualenv内)时,它执行完美并绘制asys.py中给出的图形和直方图.
然后我创建了一个’setup.py’文件来打包它,如下所示：
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
import vturra
import sys
class PyTest(TestCommand):
def finalize_options(self):
TestCommand.finalize_options(self)
self.test_args = []
self.test_suite = True
def run_tests(self):
import pytest
errcode = pytest.main(self.test_args)
sys.exit(errcode)
setup(name="vturra",
version=vturra.__version__,
license='Apache Software License',
tests_require=['pytest'],
install_requires=['matplotlib>=1.2.1',
'pandas',
'numpy',
'scipy',
'beautifulsoup',
'requests',
'patsy',
'seaborn==0.2.1',
'BeautifulSoup4'
],
cmdclass={'test': PyTest},
description="Downloads results from VTU website and analyzes the result",
long_description=open('README.md').read(),
author="Muhammed Thaha",
author_email='mthaha1989@gmail.com',
download_url='https://github.com/stormvirux/vturra',
packages=find_packages(exclude='tests'),
package_data={'vturra': ['data/*.xml']},
include_package_data=True,
platforms='any',
test_suite='vturra.test.test_vturra',
classifiers = [
'Programming Language :: Python',
'Development Status :: 1 - Beta',
'Natural Language :: English',
'Environment :: Web Environment',
'Intended Audience :: Developers',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Topic :: Internet :: WWW/HTTP :: Dynamic Content',
],
extras_require={
'testing': ['pytest'],
},
entry_points={
"console_scripts": [
"vturra=vturra.rra:main"
#"pip%s=pip:main" % sys.version[:1],
#"pip%s=pip:main" % sys.version[:3],
],
}
)
我在virtualenv中使用python setup.py install安装了软件包,安装完成后一切正常.现在,当我执行包vturra时,我收到以下错误：
Traceback (most recent call last):
File "asys.py", line 65, in
compSub()
File "asys.py", line 46, in compSub
plt.hist(data['Total'],linewidth=0, alpha=.7)
File "/home/storm/Documents/lol/local/lib/python2.7/site-packages/matplotlib/pyplot.py", line 2827, in hist
stacked=stacked, **kwargs)
File "/home/storm/Documents/lol/local/lib/python2.7/site-packages/matplotlib/axes.py", line 8249, in hist
if isinstance(x, np.ndarray) or not iterable(x[0]):
File "/home/storm/Documents/lol/local/lib/python2.7/site-packages/pandas/core/series.py", line 491, in __getitem__
result = self.index.get_value(self, key)
File "/home/storm/Documents/lol/local/lib/python2.7/site-packages/pandas/core/index.py", line 1032, in get_value
return self._engine.get_value(s, k)
File "index.pyx", line 97, in pandas.index.IndexEngine.get_value (pandas/index.c:2661)
File "index.pyx", line 105, in pandas.index.IndexEngine.get_value (pandas/index.c:2476)
File "index.pyx", line 149, in pandas.index.IndexEngine.get_loc (pandas/index.c:3215)
File "hashtable.pyx", line 382, in pandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:6450)
File "hashtable.pyx", line 388, in pandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:6394)
KeyError: 0L
但是,如果我在main()中注释掉函数调用asys.compSub(),它的工作没有任何错误.
UPDATE
该函数作为virtualenv之外的独立脚本执行时效果很好,但在virtualenv中你会得到上述错误.
我相信这是virtualenv的一个问题呢？
最佳答案 终于解决了.这是最新版本的thepandas和matplotlib之间的问题.
与拥有0.13.0的virtualenv相比,Global System pandas版本为0.10.所以我在virtualenv降级到0.10.0.
现在它的工作完美.
基本上它与matplotlib和pandas的API不兼容> = 0.13. plt.hist与系列目前将面临这个问题.
所以要么使用数据[‘Total.1’].hist()
或者传入值plt.hist(data [‘Total.1’].values,….)
或将pandas降级到小于0.13的版本.
)