Giter VIP home page Giter VIP logo

foundations-for-analytics-with-python's People

Contributors

cbrownley avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

foundations-for-analytics-with-python's Issues

Script still splits final two rows on comma within dollar values

Hello. I hope this is the correct place to provide feedback. In the exercise Read and Write a CSV file (Part 2) the script in the book still splits the final two dollar amounts in the supplier data that contain a comma to indicate thousands. I've re-typed the script from the book, run it from your supplied scripts from the book repository and run it a third time from the current script on the site and continue to receive the same error. The cost data is split across two columns, pushing date into a sixth and seventh column. Is there a subtlety I've missed?

Thanks,

Jay

pandas_sum_average_multiple_workbooks.py

I copied this code, but it couldn't run on my computer with showing:
Traceback (most recent call last):
File "pandas_sum_average_multiple_workbooks.py", line 32, in
worksheet_data_frames.append(pd.DataFrame(data, columns=['workbook', 'worksheet', 'worksheet_total', 'worksheet_average']))
File "D:\Applications\Anaconda\lib\site-packages\pandas\core\frame.py", line 392, in init
mgr = init_dict(data, index, columns, dtype=dtype)
File "D:\Applications\Anaconda\lib\site-packages\pandas\core\internals\construction.py", line 212, in init_dict
return arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
File "D:\Applications\Anaconda\lib\site-packages\pandas\core\internals\construction.py", line 56, in arrays_to_mgr
arrays = _homogenize(arrays, index, dtype)
File "D:\Applications\Anaconda\lib\site-packages\pandas\core\internals\construction.py", line 277, in _homogenize
raise_cast_failure=False)
File "D:\Applications\Anaconda\lib\site-packages\pandas\core\internals\construction.py", line 660, in sanitize_array
subarr = com.asarray_tuplesafe(data, dtype=dtype)
File "D:\Applications\Anaconda\lib\site-packages\pandas\core\common.py", line 240, in asarray_tuplesafe
values = [tuple(x) for x in values]
File "D:\Applications\Anaconda\lib\site-packages\pandas\core\common.py", line 240, in
values = [tuple(x) for x in values]
TypeError: 'int' object is not iterable

ValueError: time data '1/20/14' does not match format '%m/%d/%Y'

Hello:
when I run(win8.1 64bit, Spyder 3.2.4, MySQL 5.7.20):
E:>python 4db_mysql_load_from_csv.py supplier_data.csv
it said: "ValueError: time data '1/20/14' does not match format '%m/%d/%Y'", but I changed "str(row[column_index]), '%m/%d/%Y'))" into "str('1/20/2015'), '%m/%d/%Y')) ", it can run , and the result is 👍
+---------------+----------------+-------------+------+---------------+
| Supplier_Name | Invoice_Number | Part_Number | Cost | Purchase_Date |
+---------------+----------------+-------------+------+---------------+
| Supplier X | 001-1001 | 2341 | 500 | 2015-01-20 |
| Supplier X | 001-1001 | 2341 | 500 | 2015-01-20 |
| Supplier X | 001-1001 | 5467 | 750 | 2015-01-20 |
| Supplier X | 001-1001 | 5467 | 750 | 2015-01-20 |
| Supplier Y | 50-9501 | 7009 | 250 | 2015-01-20 |
| Supplier Y | 50-9501 | 7009 | 250 | 2015-01-20 |
| Supplier Y | 50-9505 | 6650 | 125 | 2015-01-20 |
| Supplier Y | 50-9505 | 6650 | 125 | 2015-01-20 |
| Supplier Z | 920-4803 | 3321 | 615 | 2015-01-20 |
| Supplier Z | 920-4804 | 3321 | 615 | 2015-01-20 |
| Supplier Z | 920-4805 | 3321 | 615 | 2015-01-20 |
| Supplier Z | 920-4806 | 3321 | 615 | 2015-01-20 |
+---------------+----------------+-------------+------+---------------+
what's the matter? thanks.

sd

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.