My specs:
Python 3.4.3
Windows 7
IDE is Jupyter Notebooks
What I have referenced:
1)
http://stackoverflow.com/questions/1546717/python-escaping-strings-for-use-in-xml
2)
http://stackoverflow.com/questions/7802418/how-to-properly-escape-single-and-double-quotes
3)http://stackoverflow.com/quest
Hello Everyone:
I am curious to know why I receive the aforementioned message. I am using
Python 3.4.3 and Windows 7. I am running the following script from Windows
Powershell:
Response = 's.csv'
with open(Response, 'rU', encoding='utf-8') as data:
separated = data.
Hello everyone:
A member on the Stack Overflow community advised me to post my question on this
forum:
http://codereview.stackexchange.com/questions/116395/opening-the-same-csv-file-in-two-different-ways-in-order-to-transform-data-in-on
I appreciate your feedback immensely.
Sincerely,
Saran
-
Good Morning,
I welcome feedback and suggestions for libraries or resources in order to
automate the following:
1. Given a directory of CSV files (each containing an address field)
a. Read each CSV file
b. Use address instance in row as part of a query and send request to
external API
I am working on a workflow module that will allow one to recursively check for
file extensions and if there is a match move them to a folder for processing
(parsing, data wrangling etc).
I have a simple search process, and log for the files that are present (see
below). However, I am puzzled b
On Tuesday, June 23, 2015 at 3:12:40 PM UTC-4, John Gordon wrote:
> In Sahlusar
> writes:
>
> > However, when I extrapolate this same logic with a list like:
>
> > ('Response.MemberO.PMembers.PMembers.Member.CurrentEmployer.EmployerAddress
> > .TimeAtPreviousAddress.', None), where the headers
On Tuesday, June 23, 2015 at 9:50:50 PM UTC-4, Steven D'Aprano wrote:
> On Wed, 24 Jun 2015 03:15 am, Sahlusar wrote:
>
> > That is not the underlying issue. Any thoughts or suggestions would be
> > very helpful.
>
>
> Thank you for spending over 100 lines to tell us what is NOT the underlying
>
On Tuesday, June 23, 2015 at 10:18:43 PM UTC-4, Steven D'Aprano wrote:
> On Wed, 24 Jun 2015 06:16 am, kbtyo wrote:
>
> > I am working on a workflow module that will allow one to recursively check
> > for file extensions and if there is a match move them to a folder for
On Wednesday, June 24, 2015 at 8:38:24 AM UTC-4, Steven D'Aprano wrote:
> On Wed, 24 Jun 2015 09:37 pm, kbtyo wrote:
>
> > On Tuesday, June 23, 2015 at 9:50:50 PM UTC-4, Steven D'Aprano wrote:
> >> On Wed, 24 Jun 2015 03:15 am, Sahlusar wrote:
> >>
>
Okay, so I have gone back to the drawing board and have the following
predicament (my apologies, in advance for the indentation):
Here is my sample:
0
0
0
0
0
0
My question can be found here:
http://stackoverflow.com/questions/31058100/enumerate-column-headers-in-csv-that-belong-to-the-same-tag-key-in-python
Here is an additional sample sample of the XML that I am working with:
0
0
0
0
I am using Jupyter Notebook and Python 3.4. I have a data structure in the
format, (type list):
[{'AccountNumber': N,
'Amount': '0',
'Answer': '12:00:00 PM',
'ID': None,
'Type': 'WriteLetters',
'Amount': '10',
{'AccountNumber': Y,
'Amount': '0',
'Answer': ' 12:00:00 PM',
On Saturday, August 29, 2015 at 10:50:18 PM UTC-4, MRAB wrote:
> On 2015-08-30 03:05, kbtyo wrote:
> > I am using Jupyter Notebook and Python 3.4. I have a data structure in the
> > format, (type list):
> >
> > [{'AccountNumber': N,
> > 'Amount&
On Saturday, August 29, 2015 at 11:04:53 PM UTC-4, Ben Finney wrote:
> kbtyo writes:
>
> > I am using Jupyter Notebook and Python 3.4.
>
> Thank you for saying so! It is not always required, but when it matters,
> this information is important to state up front.
>
> &
On Sunday, August 30, 2015 at 1:16:12 PM UTC-4, MRAB wrote:
> On 2015-08-30 17:31, kbtyo wrote:
> > On Saturday, August 29, 2015 at 10:50:18 PM UTC-4, MRAB wrote:
> >> On 2015-08-30 03:05, kbtyo wrote:
> >> > I am using Jupyter Notebook and Python 3.4. I have a data s
I am using Jupyter notebooks, with Python 3.4. The error below references the
Anaconda distribution package. This error occurred quite precipitously (only 2
minutes before I was able to import the modules). I am using Windows 7. My path
in the console uses Python27. I also have python 34 as wel
I am currently using Jupyter and Pythopn 3.4. I am currently using the
following script to parse and convert XML data structures, nested in a CSV -
formatted file, convert into a dictionary and then append write it back into
the same CSV. I am using the following (I added comments to explain the
On Wednesday, September 2, 2015 at 6:29:05 PM UTC-4, Chris Angelico wrote:
> On Thu, Sep 3, 2015 at 8:15 AM, kbtyo wrote:
> > However, when I hit line 40 (referencing the gist), I receive the following
Good Morning:
I am experimenting with many exception handling and utilizing continue vs pass.
After pouring over a lot of material on SO and other forums I am still unclear
as to the difference when setting variables and applying functions within
multiple "for" loops.
Specifically, I understa
On Thursday, September 3, 2015 at 11:27:58 AM UTC-4, Chris Angelico wrote:
> On Fri, Sep 4, 2015 at 1:05 AM, kbtyo wrote:
> > However, I am uncertain as to how this executes in a context like this:
> >
> > import glob
> > import csv
> > fr
On Thursday, September 3, 2015 at 11:27:58 AM UTC-4, Chris Angelico wrote:
> On Fri, Sep 4, 2015 at 1:05 AM, kbtyo wrote:
> > However, I am uncertain as to how this executes in a context like this:
> >
> > import glob
> > import csv
> > from collections import Orde
On Thursday, September 3, 2015 at 11:52:16 AM UTC-4, Chris Angelico wrote:
> On Fri, Sep 4, 2015 at 1:38 AM, kbtyo wrote:
> > Thank you for the elaboration. So, what I hear you saying is that (citing,
> > "In this case, there's no further body, so it's going to be
On Thursday, September 3, 2015 at 12:12:04 PM UTC-4, Chris Angelico wrote:
> On Fri, Sep 4, 2015 at 1:57 AM, kbtyo wrote:
> > I have used CSV and collections. For some reason when I apply this
> > algorithm, all of my files are not added (the output is ridiculously small
>
I have a list of Pandas Dataframes that I am attempting to combine using the
concatenation function.
dataframe_lists = [df1, df2, df3]
result = pd.concat(dataframe_lists, keys = ['one', 'two','three'],
ignore_index=True)
The full traceback that I receive when I execute this function is:
-
I would appreciate any feedback on the following question that I have raised
here:
http://stackoverflow.com/questions/32889129/pandas-left-merge-with-xlsx-with-csv-producing-null-value-columns-in-output
Thank you for your feedback and support.
--
https://mail.python.org/mailman/listinfo/python
On Thursday, October 1, 2015 at 7:47:18 PM UTC-4, Mark Lawrence wrote:
> On 01/10/2015 16:03, kbtyo wrote:
> > I would appreciate any feedback on the following question that I have
> > raised here:
> >
> > http://stackoverflow.com/questions/32889129/pandas-left-merge-w
26 matches
Mail list logo
