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Lasse Studion 2023-05-29 16:54:24 +02:00
parent d47fc3505b
commit c5cb3811f8
1 changed files with 52 additions and 48 deletions
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app.py
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@ -130,64 +130,68 @@ if files_uploaded or 'files_already_uploaded' in st.session_state:
df.rename({'type': 'relation_type'}, inplace=True, axis=1) # 'type' can't be used as attribute. df.rename({'type': 'relation_type'}, inplace=True, axis=1) # 'type' can't be used as attribute.
df.columns = [i.lower() for i in df.columns] # Remove capital letters from column names. df.columns = [i.lower() for i in df.columns] # Remove capital letters from column names.
with st.form('select_columns'):
# Find and store target column. # Find and store target column.
target = find_columns('target', df.columns.tolist()) target = find_columns('target', df.columns.tolist())
# Find and store source column. # Find and store source column.
source = find_columns('source', df.columns.tolist()) source = find_columns('source', df.columns.tolist())
# Confirm choise.
columns_selected = st.form_submit_button("Done")
if columns_selected: # Remove source and target columns from list of options.
# Remove source and target columns from list of options. columns = df.columns.tolist()
columns = df.columns.tolist() columns.remove(st.session_state["target"])
columns.remove(st.session_state["target"]) columns.remove(st.session_state["source"])
columns.remove(st.session_state["source"])
if all([st.session_state["source"] != "", st.session_state["target"] != ""]):
if all([st.session_state["source"] != "", st.session_state["target"] != ""]):
source = st.session_state["source"]
target = st.session_state["target"]
# Let the user chose what columns that should be included. source = st.session_state["source"]
chosen_columns = st.multiselect( target = st.session_state["target"]
label="Chose other columns to include.", options=columns, default=columns
)
if csv_nodes != None: # When a nodes file is uploaded. # Let the user chose what columns that should be included.
df_nodes = pd.read_csv(csv_nodes, sep=st.session_state["sep"]) chosen_columns = st.multiselect(
df_nodes.columns = [i.lower() for i in df_nodes.columns] # Remove capital letters from column names. label="Chose other columns to include.", options=columns, default=columns
)
label_column = find_columns('label', df_nodes.columns.tolist()) if csv_nodes != None: # When a nodes file is uploaded.
df_nodes.set_index(label_column, inplace=True) df_nodes = pd.read_csv(csv_nodes, sep=st.session_state["sep"])
df_nodes.columns = [i.lower() for i in df_nodes.columns] # Remove capital letters from column names.
else: # If no node file provided.
nodes = list(set(df[source].tolist() + df[target].tolist()))
df_nodes = pd.DataFrame(
nodes, index=range(0, len(nodes)), columns=["labels"]
)
df_nodes.set_index("labels", inplace=True)
# Make empty graph. st.session_state['label_column'] = find_columns('label', df_nodes.columns.tolist())
G = nx.MultiDiGraph()
# Add nodes.
G = add_nodes(G, df_nodes)
# Add edges.
G = add_edges(
G, df, source=source, target=target, chosen_columns=chosen_columns
)
# Turn the graph into a string.
graph_text = "\n".join([line for line in nx.generate_gexf(G)])
# Download gexf-file. if st.session_state['label_column'] != '':
gexf_file = "output.gexf" df_nodes.set_index(st.session_state['label_column'], inplace=True)
st.download_button(
"Download gexf-file", graph_text, file_name=gexf_file else: # If no node file provided.
nodes = list(set(df[source].tolist() + df[target].tolist()))
df_nodes = pd.DataFrame(
nodes, index=range(0, len(nodes)), columns=["labels"]
) )
st.write('Import the file to Gephi/Gephi Light, or try [Gephisto](https://jacomyma.github.io/gephisto/) to get an idea of the network.')
st.session_state['label_column'] = 'labels'
if st.session_state['label_column'] != '' and df_nodes.index.name != st.session_state['label_column']:
df_nodes.set_index(st.session_state['label_column'], inplace=True)
# Make empty graph.
G = nx.MultiDiGraph()
# Add nodes.
G = add_nodes(G, df_nodes)
# Add edges.
G = add_edges(
G, df, source=source, target=target, chosen_columns=chosen_columns
)
# Turn the graph into a string.
graph_text = "\n".join([line for line in nx.generate_gexf(G)])
# Download gexf-file.
gexf_file = "output.gexf"
st.download_button(
"Download gexf-file", graph_text, file_name=gexf_file
)
st.write('Import the file to Gephi/Gephi Light, or try [Gephisto](https://jacomyma.github.io/gephisto/) to get an idea of the network.')
# except: # except:
# st.markdown(':red[Something went wrong, please try again or [write to me](https://twitter.com/lasseedfast).]') # st.markdown(':red[Something went wrong, please try again or [write to me](https://twitter.com/lasseedfast).]')