ImportError No module named dateutil parser

Question

I am receiving the following error when importing pandas in a Python program  monas-mbp book mona  sudo pip install python-dateutil Requirement already satisfied  use --upgrade to upgrade   python-dateutil in  System Library Frameworks Python framework Versions 2 7 Extras lib python Cleaning up    monas-mbp book mona  python t1 py No module named dateutil parser Traceback  most recent call last     File  t1 py   line 4  in  lt module gt      import pandas as pd   File   Library Python 2 7 site-packages pandas   init   py   line 6  in  lt module gt      from   import hashtable  tslib  lib   File  tslib pyx   line 31  in init pandas tslib  pandas tslib c 48782  ImportError  No module named dateutil parser   Also here s the program   import codecs  from math import sqrt import numpy as np import pandas as pd  users     Angelica     Blues Traveler   3 5   Broken Bells   2 0                         Norah Jones   4 5   Phoenix   5 0                         Slightly Stoopid   1 5                         The Strokes   2 5   Vampire Weekend   2 0              Bill    Blues Traveler   2 0   Broken Bells   3 5                    Deadmau5   4 0   Phoenix   2 0                    Slightly Stoopid   3 5   Vampire Weekend   3 0              Chan     Blues Traveler   5 0   Broken Bells   1 0                     Deadmau5   1 0   Norah Jones   3 0   Phoenix   5                     Slightly Stoopid   1 0              Dan     Blues Traveler   3 0   Broken Bells   4 0                    Deadmau5   4 5   Phoenix   3 0                    Slightly Stoopid   4 5   The Strokes   4 0                    Vampire Weekend   2 0              Hailey     Broken Bells   4 0   Deadmau5   1 0                       Norah Jones   4 0   The Strokes   4 0                       Vampire Weekend   1 0              Jordyn      Broken Bells   4 5   Deadmau5   4 0                        Norah Jones   5 0   Phoenix   5 0                        Slightly Stoopid   4 5   The Strokes   4 0                        Vampire Weekend   4 0              Sam     Blues Traveler   5 0   Broken Bells   2 0                    Norah Jones   3 0   Phoenix   5 0                    Slightly Stoopid   4 0   The Strokes   5 0              Veronica     Blues Traveler   3 0   Norah Jones   5 0                         Phoenix   4 0   Slightly Stoopid   2 5                         The Strokes   3 0               class recommender       def   init   self  data  k 1  metric  pearson   n 5               initialize recommender         currently  if data is dictionary the recommender is initialized         to it          For all other data types of data  no initialization occurs         k is the k value for k nearest neighbor         metric is which distance formula to use         n is the maximum number of recommendations to make            self k   k         self n   n         self username2id              self userid2name              self productid2name                for some reason I want to save the name of the metric         self metric   metric         if self metric     pearson               self fn   self pearson                     if data is dictionary set recommender data to it                   if type data    name       dict               self data   data      def convertProductID2name self  id              Given product id number return product name            if id in self productid2name              return self productid2name id          else              return id       def userRatings self  id  n              Return n top ratings for user with id            print   Ratings for     self userid2name id           ratings   self data id          print len ratings           ratings   list ratings items            ratings     self convertProductID2name k   v                     for  k  v  in ratings            finally sort and return         ratings sort key lambda artistTuple  artistTuple 1                        reverse   True          ratings   ratings  n          for rating in ratings              print   s t i     rating 0   rating 1            def loadBookDB self  path                 loads the BX book dataset  Path is where the BX files are         located            self data              i   0                     First load book ratings into self data                   f   codecs open path    BX-Book-Ratings csv    r    utf8           for line in f              i    1              separate line into fields             fields   line split                  user   fields 0  strip                  book   fields 1  strip                  rating   int fields 2  strip   strip                   if user in self data                  currentRatings   self data user              else                  currentRatings                  currentRatings book    rating             self data user    currentRatings         f close                       Now load books into self productid2name           Books contains isbn  title  and author among other fields                   f   codecs open path    BX-Books csv    r    utf8           for line in f              i    1              separate line into fields             fields   line split                  isbn   fields 0  strip                  title   fields 1  strip                  author   fields 2  strip   strip                  title   title     by     author             self productid2name isbn    title         f close                        Now load user info into both self userid2name and            self username2id                   f   codecs open path    BX-Users csv    r    utf8           for line in f              i    1              print line               separate line into fields             fields   line split                  userid   fields 0  strip                  location   fields 1  strip                  if len fields   gt  3                  age   fields 2  strip   strip                  else                  age    NULL              if age     NULL                   value   location       age      age                   else                  value   location             self userid2name userid    value             self username2id location    userid         f close           print i        def pearson self  rating1  rating2           sum xy   0         sum x   0         sum y   0         sum x2   0         sum y2   0         n   0         for key in rating1              if key in rating2                  n    1                 x   rating1 key                  y   rating2 key                  sum xy    x   y                 sum x    x                 sum y    y                 sum x2    pow x  2                  sum y2    pow y  2          if n    0              return 0           now compute denominator         denominator    sqrt sum x2 - pow sum x  2    n                           sqrt sum y2 - pow sum y  2    n           if denominator    0              return 0         else              return  sum xy -  sum x   sum y    n    denominator       def computeNearestNeighbor self  username              creates a sorted list of users based on their distance to         username            distances              for instance in self data              if instance    username                  distance   self fn self data username                                      self data instance                   distances append  instance  distance             sort based on distance -- closest first         distances sort key lambda artistTuple  artistTuple 1                          reverse True          return distances      def recommend self  user             Give list of recommendations           recommendations               first get list of users  ordered by nearness        nearest   self computeNearestNeighbor user                    now get the ratings for the user                 userRatings   self data user                    determine the total distance        totalDistance   0 0        for i in range self k             totalDistance    nearest i  1           now iterate through the k nearest neighbors          accumulating their ratings        for i in range self k               compute slice of pie            weight   nearest i  1    totalDistance             get the name of the person           name   nearest i  0              get the ratings for this person           neighborRatings   self data name              get the name of the person             now find bands neighbor rated that user didn t           for artist in neighborRatings               if not artist in userRatings                  if artist not in recommendations                     recommendations artist     neighborRatings artist                                                  weight                  else                     recommendations artist     recommendations artist                                                  neighborRatings artist                                                  weight           now make list from dictionary        recommendations   list recommendations items           recommendations     self convertProductID2name k   v                            for  k  v  in recommendations           finally sort and return        recommendations sort key lambda artistTuple  artistTuple 1                               reverse   True           Return the first n items        return recommendations  self n   r   recommender users    The author implementation r loadBookDB   Users mona Downloads BX-Dump     ratings   pd read csv   Users danialt BX-CSV-Dump BX-Book-Ratings csv   sep      quotechar       escapechar       books   pd read csv   Users danialt BX-CSV-Dump BX-Books csv   sep      quotechar       escapechar       users   pd read csv   Users danialt BX-CSV-Dump BX-Users csv   sep      quotechar       escapechar          pivot rating   ratings pivot index  User-ID   columns  ISBN   values  Book-Rating

User · Answer

If you are using Pipenv  you may need to add this to your Pipfile    packages  python-dateutil

User · Answer

I had the similar problem  This is the stack trace  Traceback  most recent call last   File  quot  usr local bin aws quot   line 19  in  lt module gt  import awscli clidriver File  quot  usr local lib python2 7 dist-packages awscli clidriver py quot   line 17  in  lt module gt  import botocore session File  quot  usr local lib python2 7 dist-packages botocore session py quot   line 30  in  lt module gt  import botocore credentials File  quot  usr local lib python2 7 dist-packages botocore credentials py quot   line 27  in  lt module gt  from dateutil parser import parse ImportError  No module named dateutil parser  I tried to  re- install dateutil parser through all possible ways  It was unsuccessful  I solved it with pip3 uninstall awscli pip3 install awscli

User · Answer

If you re using a virtualenv  make sure that you are running pip from within the virtualenv      which pip  Library Frameworks Python framework Versions Current bin pip   find   -name pip -print   flask bin pip   flask lib python2 7 site-packages pip     flask bin pip install python-dateutil

User · Answer

i have same issues on my MacOS and it s work for me to try pip3 install python-dateutil on Ubuntu sudo apt-get install python-dateutil

User · Answer

In Ubuntu 18 04 for Python2   sudo apt-get install python-dateutil

User · Answer

For Python 3   pip3 install python-dateutil

User · Answer

For Python 3 above  use   sudo apt-get install python3-dateutil

User · Answer

You can find the dateutil package at https   pypi python org pypi python-dateutil  Extract it to somewhere and run the command   python setup py install  It worked for me

User · Answer

On Ubuntu you may need to install the package manager pip first   sudo apt-get install python-pip   Then install the python-dateutil package with   sudo pip install python-dateutil

User · Answer

None of the solutions worked for me  If you are using PIP do     pip install pycrypto  2 6 1

[python] ImportError: No module named dateutil.parser

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