CoLRev
Manual
Steps and operations
Workflow
Step 1: Problem formulation
Step 2: Metadata retrieval
Step 3: Metadata prescreen
Step 4: PDF retrieval
Step 5: PDF screen
Step 6: Data extraction and synthesis
Command-line Interface
Collaboration
Packages
Appendix
Developer documentation
Setup
Package development
Development status
API reference
Github repository
PyPI
Governance
CoLRev enhancement proposals (CEPs)
About
CoLRev
colrev.ops.colrev_pandas.load_df
Edit on GitHub
colrev.ops.colrev_pandas.load_df
colrev.ops.colrev_pandas.
load_df
(
*
,
project_path
=
''
,
add_abstracts_from_pdfs
=
False
,
include_provenance
=
True
,
notify
=
''
)
[source]
Get a pandas dataframe from a CoLRev project
Return type
:
DataFrame