Skip to content
This repository has been archived by the owner on May 31, 2020. It is now read-only.

Add class call to write_output(). #54 #55

Merged
merged 2 commits into from
Apr 25, 2019
Merged

Add class call to write_output(). #54 #55

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
19ce2e2
Add class call to write_output().
greebie Apr 24, 2019
5ceaa7f
update README.md
greebie Apr 24, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ We suggest using [Anaconda Distribution](https://www.anaconda.com/distribution)

* [Python](https://www.python.org/downloads/) 3.7+
* [Jupyter Notebook](https://jupyter.org) (1.0.0)
* [au_notebook](https://github.com/archivesunleashed/au_notebook) (0.0.2)
* [au_notebook](https://github.com/archivesunleashed/au_notebook) (0.0.3)
* [matplotlib](https://matplotlib.org) (3.0.2)
* [numpy](https://pypi.org/project/numpy/#history) (1.15.1)
* [pandas](https://pandas.pydata.org) (0.23.4)
Expand All @@ -41,7 +41,7 @@ jupyter notebook

### Docker

Docker is a container-based virtual machine system that bundles dependencies together, this means you can build the Docker image and it will work out of the box. To run the Jupyter Notebook via Docker, there are two options, Docker Hub and Docker Locally.
Docker is a container-based virtual machine system that bundles dependencies together, this means you can build the Docker image and it will work out of the box. To run the Jupyter Notebook via Docker, there are two options, Docker Hub and Docker Locally.

### Docker Hub

Expand Down Expand Up @@ -73,7 +73,7 @@ There are several types of visualizations that you can produce in the Jupyter No
* *Domain Analysis*: Provides information about what has been crawled (e.g. which domains) and how often.
* *Text Analysis*: Highlights the frequency of words through various filters including domain and year.
* *Sentiment Analysis*: Visualizes sentiment scores by domain and year.
* *Network Analysis*: Shows the connections and relationship among websites through network graph layouts.
* *Network Analysis*: Shows the connections and relationship among websites through network graph layouts.

## Additional Notes

Expand Down
4 changes: 2 additions & 2 deletions auk-notebook-text.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -260,7 +260,7 @@
"## Removing the # on the following line will write the results to TEXT_OUTPUT_FILENAME if set, \n",
"## or nb.output_filename (set in the User Configuration section).\n",
"\n",
"#write_output(filename, year_results)"
"# nb.write_output(filename, year_results)"
]
},
{
Expand All @@ -279,7 +279,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"{'bcliberals', 'huffingtonpost', 'reddit', 'facebook', 'blogger', 'familiesfundingteachers', 'bctf', 'radioreddit', 'twitter', 'youtube', 'google', 'thetyee', 'huff', 'staffroomconfidential', 'patch', 'cbc', 'betterschoolsbc'}\n"
"{'google', 'bcliberals', 'betterschoolsbc', 'huff', 'cbc', 'youtube', 'bctf', 'huffingtonpost', 'radioreddit', 'reddit', 'patch', 'blogger', 'familiesfundingteachers', 'facebook', 'thetyee', 'staffroomconfidential', 'twitter'}\n"
]
}
],
Expand Down
2 changes: 1 addition & 1 deletion requirements.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
au-notebook==0.0.2
au-notebook==0.0.3
matplotlib==3.0.2
networkx==2.2
nltk==3.4
Expand Down