Comments (4)
Hi
I am wondering how possible is to manipulate (like in a pandas table)
Manipulating the documents themselves is not possible. You can, however, manipulate a DocumentSet
which contains a list of documents by, for example, calculating the intersection, union, or differen between sets (see DocumentSet
)
and save a loaded DocumentSet such as .bib, ieee_csv.
Saving a document set is not possible, but it is a highly requested feature. There are open issues for saving a document set as a Bibtex file or RIS file:
Of you interesting in looking into these, we welcome all relevant pull requests!
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I was looking for this as well. A possible workaround might be to just Export the documentset to a csv and later Reimport it if needed.
Or is there any other way to not lose my progress everytime I shut down my machine? I mean, there must be a database saved somewhere, or is all this data sitting in the memory?
from litstudy.
Which fields are called from the api upon refine? Is it all the ones from the class litstudy.types.Document?
from litstudy.
I was looking for this as well. A possible workaround might be to just Export the documentset to a csv and later Reimport it if needed. Or is there any other way to not lose my progress everytime I shut down my machine? I mean, there must be a database saved somewhere, or is all this data sitting in the memory?
Alternatively you could pickle the document set which takes less space than a csv. After that you can reload it whenever you would like to perform further analysis on the set. Just use these code snippets:
to save:
with open("data.pickle", "wb") as f:
pickle.dump(data, f, protocol=pickle.HIGHEST_PROTOCOL)
to load:
with open("data.pickle", "rb") as f:
data = pickle.load(f)
from litstudy.
Related Issues (20)
- 'No Edges Given' for Network Analysis HOT 4
- ValueError: n_components must be < n_features; got 50 >= 47 HOT 2
- `build_corpus` always removes words having a frequency below 5 HOT 4
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- module 'networkx' has no attribute 'to_scipy_sparse_matrix' HOT 2
- Incompability with gensim 4 HOT 1
- Unexpected results from litstudy.plot_author_histogram() HOT 2
- Listing document titles HOT 3
- Support for google scholar HOT 1
- refine_scopus - low it/s speed; necessary to refine every time? HOT 1
- TypeError: object of type 'method' has no len() HOT 1
- Saving language models
- Documentation on search_ function queries HOT 3
- Search_semanticscholar with list
- Scopus400Error: Error translating query - Refining results with "source title" query argument HOT 6
- train_lda_model() fails to access gensim HOT 3
- Scopus400Error: Exceeds the maximum number allowed for the service level. HOT 1
- Scopus exceeds csv field limit
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from litstudy.