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7450dc1
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1 Parent(s): 786ce47

Update pages/4 Sunburst.py

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  1. pages/4 Sunburst.py +27 -19
pages/4 Sunburst.py CHANGED
@@ -52,22 +52,27 @@ with st.expander("Before you start", expanded = True):
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  with tab3:
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  st.code("""
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- +----------------+------------------------+--------------------+
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- | Source | File Type | Column |
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- +----------------+------------------------+--------------------+
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- | Scopus | Comma-separated values | Source title, |
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- | | (.csv) | Document Type, |
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- +----------------+------------------------| Cited by, Year |
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- | Web of Science | Tab delimited file | |
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- | | (.txt) | |
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- +----------------+------------------------+--------------------+
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- | Lens.org | Comma-separated values | Publication Year, |
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- | | (.csv) | Publication Type, |
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- | | | Source Title, |
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- | | | Citing Works Count |
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- +----------------+------------------------+--------------------+
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- | Hathitrust | .json | htid(Hathitrust ID)|
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- +----------------+------------------------+--------------------+
 
 
 
 
 
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  """, language=None)
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  with tab4:
@@ -96,9 +101,9 @@ def upload(extype):
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  papers = pd.read_csv(uploaded_file)
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  #lens.org
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  if 'Publication Year' in papers.columns:
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- papers.rename(columns={'Publication Year': 'Year', 'Citing Works Count': 'Cited by',
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- 'Publication Type': 'Document Type', 'Source Title': 'Source title'}, inplace=True)
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- if "About the data" in papers.columns[0]:
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  papers = sf.dim(papers)
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  col_dict = {'MeSH terms': 'Keywords',
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  'PubYear': 'Year',
@@ -106,6 +111,9 @@ def upload(extype):
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  'Publication Type': 'Document Type'
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  }
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  papers.rename(columns=col_dict, inplace=True)
 
 
 
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  return papers
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  @st.cache_data(ttl=3600)
 
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  with tab3:
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  st.code("""
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+ +----------------+------------------------+--------------------------------------+
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+ | Source | File Type | Column |
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+ +----------------+------------------------+--------------------------------------+
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+ | Scopus | Comma-separated values | Source title, |
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+ | | (.csv) | Document Type, |
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+ +----------------+------------------------| Cited by, Year |
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+ | Web of Science | Tab delimited file | |
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+ | | (.txt) | |
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+ +----------------+------------------------+--------------------------------------+
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+ | Lens.org | Comma-separated values | Publication Year, |
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+ | | (.csv) | Publication Type, |
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+ | | | Source Title, |
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+ | | | Citing Works Count |
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+ +----------------+------------------------+--------------------------------------+
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+ | OpenAlex | Comma-separated values | publication_year, |
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+ | | (.csv) | cited_by_count, |
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+ | | | type, |
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+ | | | primary_location.source.display_name |
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+ +----------------+------------------------+--------------------------------------+
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+ | Hathitrust | .json | htid(Hathitrust ID) |
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+ +----------------+------------------------+--------------------------------------+
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  """, language=None)
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  with tab4:
 
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  papers = pd.read_csv(uploaded_file)
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  #lens.org
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  if 'Publication Year' in papers.columns:
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+ papers.rename(columns={'Publication Year': 'Year', 'Citing Works Count': 'Cited by',
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+ 'Publication Type': 'Document Type', 'Source Title': 'Source title'}, inplace=True)
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+ elif "About the data" in papers.columns[0]:
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  papers = sf.dim(papers)
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  col_dict = {'MeSH terms': 'Keywords',
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  'PubYear': 'Year',
 
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  'Publication Type': 'Document Type'
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  }
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  papers.rename(columns=col_dict, inplace=True)
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+ elif "ids.openalex" in papers.columns:
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+ papers.rename(columns={'publication_year': 'Year', 'cited_by_count': 'Cited by',
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+ 'type': 'Document Type', 'primary_location.source.display_name': 'Source title'}, inplace=True)
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  return papers
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  @st.cache_data(ttl=3600)