我有一个名为rra.py
的脚本,它具有以下的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asys.py
中导入了另一个脚本rra.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()
当我使用rra.py
执行virtualenv之外的python rra.py
(甚至在virtualenv内)时,它会完美执行并绘制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python setup.py install
中使用virtualenv
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 <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
但是如果我在asys.compSub()
中注释掉函数调用main()
,它就可以正常运行。
更新
当作为virtualenv
之外的独立脚本执行时,该功能可以正常工作,但在virtualenv
内,您会收到上述错误。
我认为virtualenv
是一个问题呢?
答案 0 :(得分:7)
终于解决了。这是最新版pandas
和matplotlib
之间的问题。
与具有0.10
的virtualenv相比,全球系统pandas版本为0.13.0
。所以我在virtualenv中降级为0.10.0
。
现在它完美运作。
基本上它与matplotlib和pandas的API不兼容&gt; = 0.13。系列plt.hist
目前将面临此问题。
所以要么使用data['Total.1'].hist()
或传递值plt.hist(data['Total.1'].values,....)
或将pandas降级为小于0.13
的版本。