pysd | Small Python script for automatic TV show subtitles | Download Utils library
kandi X-RAY | pysd Summary
kandi X-RAY | pysd Summary
pysd - TV show subtitles automatic downloading. This is a small Python script which allows you to automatically download TV show subtitles from www.TVsubtitles.net and www.opensubtitles.org and which also can be used as a separate Python module.
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Top functions reviewed by kandi - BETA
- Download the subtitles for a given episode
- Get the subtitles for a particular episode
- Get all episodes for a given show
- Returns a dictionary of tvshows
- Get the contents of a given URL
- Get language
pysd Key Features
pysd Examples and Code Snippets
Community Discussions
Trending Discussions on pysd
QUESTION
I'm trying to load data for future dates. My scenario is something like this, I have data for 2016, 2017 and 2018(until August). Each year has Current and 'Prior Year Same Day' values associated. Data is aggregated to Month. Requirement is that I load data for future dates as well, that is for September 2018 through August 2019 using 'PYSD' values. For example, the 'Current' value for September 2017 will be 'PYSD' value for September 2018 and so on. When I try this particular logic I get an error stating 'overflow' and I'm unable to figure out what's causing. This happens only with the second condition in my WHERE clause. My SELECT clause aggregates a months' data and outputs as '08-01-2018' - there will be one row per month/year.
...ANSWER
Answered 2018-Sep-05 at 01:41What is the maximum date in your DateTable ? You probably have dates that is with year 9999. So adding 364 will cause it to overflow. It has nothing to do with the SELECT
clause
On your query, you can simply do this
QUESTION
I am using a package called PySD for system dynamics modelling. PySD converts models from Vensim (a system dynamics modelling package) into python and allows the user to replace various equations with more complex routines than Vensim is capable of. I am running a model with a variety of subscripts and this creates an unusual format of the outputs. The outputs are read into a data frame whose individual values for subscripted elements end up being xarray.DataArrays. I am wondering how to take a column of xarray.DataArrays (which ends up being a series) and convert that into a two dimensional array, with the second dimension being the number of subscripts.
...ANSWER
Answered 2017-Oct-27 at 19:36Thanks for sharing the example of what this data looks like.
First of all, nesting xarray.DataArray
objects as scalars inside a pandas.DataFrame
is highly non-standard way of working with xarray and pandas. I don't recommend it. If every entry is a DataArray that shares (some of) the same dimensions, the easiest way to work with your data is as an xarray.Dataset
, xarray's version of a multi-dimensional pandas.DataFrame
.
That said, it should be straightforward to convert your data from this format into unnested objects are easier to work with. The best place to start is with Series.values
, which extract a column as a 1D numpy array. Then you can iterate through the series and convert each DataArray
into a numpy array with .values
, too. Putting this together:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install pysd
You can use pysd like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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