Python

WindowsError: [Error 5] Access is denied: Anaconda Python Pip Installs and Upgrade

Bydatapandasadmin January 6, 2017January 6, 2017

I was trying to run a pip install ( pip install scikit-learn) and I encountered this error:

C:\Users\adaba>pip install -U scikit-learn

Collecting scikit-learn

Using cached scikit_learn-0.18.1-cp27-cp27m-win_amd64.whl

Installing collected packages: scikit-learn

Found existing installation: scikit-learn 0.17.1

DEPRECATION: Uninstalling a distutils installed project (scikit-learn) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.

Uninstalling scikit-learn-0.17.1:

Exception:

Traceback (most recent call last):

File "C:\Program Files\Anaconda2\lib\site-packages\pip\basecommand.py", line 215, in main

status = self.run(options, args)

File "C:\Program Files\Anaconda2\lib\site-packages\pip\commands\install.py", line 317, in run

prefix=options.prefix_path,

File "C:\Program Files\Anaconda2\lib\site-packages\pip\req\req_set.py", line 736, in install

requirement.uninstall(auto_confirm=True)

File "C:\Program Files\Anaconda2\lib\site-packages\pip\req\req_install.py", line 742, in uninstall

paths_to_remove.remove(auto_confirm)

File "C:\Program Files\Anaconda2\lib\site-packages\pip\req\req_uninstall.py", line 115, in remove

renames(path, new_path)

File "C:\Program Files\Anaconda2\lib\site-packages\pip\utils\__init__.py", line 267, in renames

shutil.move(old, new)

File "C:\Program Files\Anaconda2\lib\shutil.py", line 303, in move

os.unlink(src)

WindowsError: [Error 5] Access is denied: 'c:\\program files\\anaconda2\\lib\\site-packages\\scikit_learn-0.17.1-py2.7.egg-info'

This is the bit we are interested in ”

1	WindowsError: [Error 5] Access is denied: 'c:\\program files\\anaconda2\\lib\\site-packages\\scikit_learn-0.17.1-py2.7.egg-info'

”

if you look at the error it states “WindowsError”

Hence the Access Denied error is due to not having the right level of privileges to carry out the installs or upgrade.

SOLUTION

Open Command Prompt as Administrator (with Administrator rights)

Now run your pip installs and the windowsError should disappear and installation go through

Microsoft Windows [Version 10.0.14393]

C:\WINDOWS\system32>cd\

C:\>Python

Python 2.7.12 |Anaconda 4.2.0 (64-bit)| (default, Jun 29 2016, 11:07:13) [MSC v.1500 64 bit (AMD64)] on win32

Type "help", "copyright", "credits" or "license" for more information.

Anaconda is brought to you by Continuum Analytics.

Please check out: http://continuum.io/thanks and https://anaconda.org

Could not open PYTHONSTARTUP

IOError: [Errno 2] No such file or directory: 'C:\\Users\\adaba\\Anaconda3\\envs\\gl-env\\Lib\\site-packages\\spyderlib\\scientific_startup.py'

>>>

C:\>pip install -U scikit-learn

Collecting scikit-learn

Using cached scikit_learn-0.18.1-cp27-cp27m-win_amd64.whl

Installing collected packages: scikit-learn

Found existing installation: scikit-learn 0.17.1

Uninstalling scikit-learn-0.17.1:

Successfully uninstalled scikit-learn-0.17.1

Successfully installed scikit-learn-0.18.1

Hope this helps you 🙂

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Python

Array Transposition – Numpy Python Data Analysis

Bydatapandasadmin August 21, 2016October 23, 2016

Welcome Guys, We will be looking at Array transposition in this quick notes. This is part of lectures on Learning Python for Data Analysis and Visualization by Jose Portilla on Udemy. In [1]:

1	import numpy as np

In [2]:

1 2	arr = np.arange(50) arr

Out[2]:

array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,

17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,

34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])

In [17]:

1	arr.reshape((10,5))

Out[17]:

array([[ 0, 1, 2, 3, 4],

[ 5, 6, 7, 8, 9],

[10, 11, 12, 13, 14],

[15, 16, 17, 18, 19],

[20, 21, 22, 23, 24],

[25, 26, 27, 28, 29],

[30, 31, 32, 33, 34],

[35, 36, 37, 38, 39],

[40, 41, 42, 43, 44],

[45, 46, 47, 48, 49]])

In [10]:

arr.T

Out[10]:

array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,

17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,

34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])

In [11]:

1	np.dot(arr.T, arr)

Out[11]:

40425

In [23]:

1	arr3d = np.arange(50).reshape((5,5,12))

---------------------------------------------------------------------------

ValueError Traceback (most recent call last)

<ipython-input-23-8908d625ec66> in <module>()

----> 1 arr3d = np.arange(50).reshape((5,5,12))

ValueError: total size of new array must be unchanged

…

Python

Sending Email Using Python Smtplib Automate Email Sending Alerts
Bydatapandasadmin September 3, 2016October 23, 2016

When you have a script running and you have logs set , you might also want to send yourself or colleagues, email alerts in case things go wrong or simply to let you know that your scripts ran to completion without any problems. In this short notes, we take a look at sending email…

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Coursera | Data Science | Python

Running a Random Forest – Data Analysis and Intrepretation
Bydatapandasadmin March 25, 2016October 23, 2016

Overview My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course. The variables in my observation dataset are all quantitative. For the purposes of this assignment, I have binned my quantitative target variable, Life Expectancy (lifeexpectancy) into a 2-level binary categorical target variable. I have named…

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Data Science | Python

Pandas DataFrame and Series Alignment Python Notes
Bydatapandasadmin August 12, 2016October 23, 2016

This week we have a look at Data Alignment in Python In [1]:

Default

1
2
3

import numpy as np
import pandas as pd
from pandas import Series, DataFrame

In [2]:

Default

1
2
3

#create series
ser1 = Series([0,1,3], index=['A','B','C'])
ser1

Out[2]:

Default

1
2
3
4

A 0
B 1
C 3
dtype: int64

In [3]:

Default

1
2

ser2 = Series([3,4,5,6], index=['A','B','C','D'])
ser2

Out[3]:

Default

1
2
3
4
5

A 3
B 4
C 5
D 6
dtype: int64

In [4]:

Default

1
2

#adding two series which have different lenghts
ser1 + ser2

Out[4]:

Default

1
2
3
4
5

A 3.0
B 5.0
C 8.0
D NaN
dtype: float64

In [6]:

Default

1
2
3
4

#lets try and add dataframes
#create dataframe
dframe = DataFrame(np.arange(4).reshape((2,2)), columns=list('AB'), index=['LA','GA'])
dframe

Out[6]: A B LA 0 1 GA 2 3 In [10]:

Default

1
2
3

#create a second dataframe
dframe2 = DataFrame(np.arange(9).reshape((3,3)), columns=list('ABC'), index=['LA','NYC','GA'])
dframe2

Out[10]: A B C LA 0 1 2 NYC 3 4…

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Azure Machine Learning | Data Science | Machine Learning | Python

Deploy Productionalise Azure Machine Learning Algorithm Using Python
ByBernard Adabankah July 24, 2018

This is a script to consume Azure Machine Learning Model which you build using Azure ML Studio. So basically this is a Request-Response Service (RRS) according to Microsoft. This was a Boosted Decision Tree Algorithm build with Census Adult Data which is available as one of the Sample DataSet in Azure ML. You can adapt the…

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Python

Python Pandas Pivot Table Index location Percentage calculation on Two columns

Bydatapandasadmin October 5, 2016October 23, 2016

pivot table for year on year This is a quick example of how to use pivot_table, to calculate year on year percentage sales . In [162]:

import sqlalchemy

import pyodbc

import numpy as np

from pandas import DataFrame

from bokeh.plotting import figure, output_file, show

import pandas as pd

In [163]:

df = DataFrame

## connect to SqlServer Database and get information.

try:

import urllib

params = urllib.quote_plus("DRIVER={SQL Server Native Client 11.0};SERVER=.\MSSQLSERVER_ENT;DATABASE=Antrak;Trusted_Connection=yes;")

engine = sqlalchemy.create_engine('mssql+pyodbc:///?odbc_connect=%s"' % params)

resoverall = engine.execute("SELECT * FROM FlightBookingsMain")

df = df(resoverall.fetchall())

df.columns = resoverall.keys()

except (RuntimeError, TypeError, NameError):

print('Error in Conneccting')

print(RuntimeError, TypeError, NameError)

finally:

print("connected")

connected

In [164]:

1 2	#lets check the head df.head()

Out[164]: First Name Last Name Sex Phone Fax Email Address Booking Date Departure Date Arrival Date Address1 … Number of Passengers…

2 Comments

Aneesh says:

August 22, 2017 at 4:20 pm

I am running as administrator. Still I have this error.

File “c:\python27\lib\site-packages\pip\_vendor\retrying.py”, line 200, in call
attempt = Attempt(fn(*args, **kwargs), attempt_number, False)
File “c:\python27\lib\site-packages\pip\utils\__init__.py”, line 102, in rmtree
onerror=rmtree_errorhandler)
File “c:\python27\lib\shutil.py”, line 252, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File “c:\python27\lib\site-packages\pip\utils\__init__.py”, line 110, in rmtree_errorhandler
if os.stat(path).st_mode & stat.S_IREAD:
WindowsError: [Error 5] Access is denied: ‘c:\\users\\XXXX\\appdata\\local\\temp\\pip-vawmxw-unpack\\pytz-2017.2-py2.py3-none-any.whl’

Reply
1. datapandasadmin says:
  
  August 22, 2017 at 5:00 pm
  
  Hi Aneesh,
  Can you check that the file is not being accessed or opened by any other program.
  Sometimes the file might be accessed by another program without you realising. A simple case of restart and running command prompt as an administrator might help solve it
  
  Reply

WindowsError: [Error 5] Access is denied: Anaconda Python Pip Installs and Upgrade

Array Transposition – Numpy Python Data Analysis

Sending Email Using Python Smtplib Automate Email Sending Alerts

Running a Random Forest – Data Analysis and Intrepretation

Pandas DataFrame and Series Alignment Python Notes

Deploy Productionalise Azure Machine Learning Algorithm Using Python

Python Pandas Pivot Table Index location Percentage calculation on Two columns

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