3
나는 다음과 스켈 톤 구조를 가지고 rra.py 호출 된 스크립트가 있습니다KeyError를 : 0L 패키지 코드를 실행
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()
을하고 난 다음의 내용이 위의 스크립트 rra.py에서 가져온 다른 스크립트 asys.py 있습니다.
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()
I는 완벽하게 실행하고 asys.py에서 제시된 그래프와 히스토그램을 나타내는 python rra.py를 사용하여 (심지어 VIRTUALENV 내부) rra.py 외부 VIRTUALENV을 실행할 때. 내가 virtualenv에 python setup.py install를 사용하여 패키지를 설치
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='[email protected]',
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],
],
}
)
와 모든 설치에 잘 갔다 :
은 그럼 아래와 같습니다를 패키지에 'setup.py'파일을 만들었습니다. 이제 나는 다음과 같은 오류가vturra 패키지를 실행할 때 :
Traceback (most recent call last):
File "asys.py", line 65, in <module>
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
을하지만 main()에서 함수 호출 asys.compSub()을 주석 경우가 오류없이 작동합니다. virtualenv 외부 독립형 스크립트로 실행될 때
UPDATE 기능은 완벽하게 작동하지만 virtualenv 안에 당신은 위의 오류가 발생합니다. 나는 그것이 virtualenv의 문제라고 생각합니까?