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Jan Mühlnikel commited on
Commit
7823114
·
1 Parent(s): 46060b0

chnaged result table and fixed an issue withe a copy in the country filtering

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Files changed (5) hide show
  1. functions/__pycache__/calc_matches.cpython-310.pyc +0 -0
  2. functions/__pycache__/filter_projects.cpython-310.pyc +0 -0
  3. functions/filter_projects.py +1 -1
  4. modules/__pycache__/result_table.cpython-310.pyc +0 -0
  5. modules/result_table.py +72 -123
functions/__pycache__/calc_matches.cpython-310.pyc CHANGED
Binary files a/functions/__pycache__/calc_matches.cpython-310.pyc and b/functions/__pycache__/calc_matches.cpython-310.pyc differ
 
functions/__pycache__/filter_projects.cpython-310.pyc CHANGED
Binary files a/functions/__pycache__/filter_projects.cpython-310.pyc and b/functions/__pycache__/filter_projects.cpython-310.pyc differ
 
functions/filter_projects.py CHANGED
@@ -26,7 +26,7 @@ def filter_projects(df, crs3_list, crs5_list, sdg_str, country_code_list, orga_c
26
  country_filtered_df = pd.DataFrame()
27
  for c in country_code_list:
28
  c_df = df[df["country"].str.contains(c, na=False)]
29
- country_filtered_df = pd.concat([country_filtered_df, c_df], ignore_index=True)
30
 
31
  df = country_filtered_df
32
 
 
26
  country_filtered_df = pd.DataFrame()
27
  for c in country_code_list:
28
  c_df = df[df["country"].str.contains(c, na=False)]
29
+ country_filtered_df = pd.concat([country_filtered_df, c_df], ignore_index=False)
30
 
31
  df = country_filtered_df
32
 
modules/__pycache__/result_table.cpython-310.pyc CHANGED
Binary files a/modules/__pycache__/result_table.cpython-310.pyc and b/modules/__pycache__/result_table.cpython-310.pyc differ
 
modules/result_table.py CHANGED
@@ -1,128 +1,77 @@
1
  import streamlit as st
 
2
 
3
  def show_table(p1_df, p2_df):
4
-
5
- col1, col2 = st.columns([1, 1])
6
- with col1:
7
  st.write("------------------")
8
-
9
- st.dataframe(
10
- p1_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "sgd_pred_code", "crs_3_code", "crs_5_code"]],
11
- use_container_width = True,
12
- height = 35 + 35 * len(p1_df),
13
- column_config={
14
- "similarity": st.column_config.TextColumn(
15
- "Similarity",
16
- help="simialrity",
17
- disabled=True
18
- ),
19
- "iati_id": st.column_config.TextColumn(
20
- "IATI ID",
21
- help="IATI Project ID",
22
- disabled=True
23
- ),
24
- "orga_abbreviation": st.column_config.TextColumn(
25
- "Organization",
26
- help="If description not in English, description in other language provided",
27
- disabled=True
28
- ),
29
- "client": st.column_config.TextColumn(
30
- "Client",
31
- help="Client organization of customer",
32
- disabled=True
33
- ),
34
- "title_main": st.column_config.TextColumn(
35
- "Title",
36
- help="If title not in English, title in other language provided",
37
- disabled=True
38
- ),
39
- "description_main": st.column_config.TextColumn(
40
- "Description",
41
- help="If description not in English, description in other language provided",
42
- disabled=True
43
- ),
44
- "country": st.column_config.TextColumn(
45
- "Country",
46
- help="Country of project",
47
- disabled=True
48
- ),
49
- "sgd_pred_code": st.column_config.TextColumn(
50
- "SDG Prediction",
51
- help="Prediction of SDG's",
52
- disabled=True
53
- ),
54
- "crs_3_code": st.column_config.TextColumn(
55
- "CRS 3",
56
- help="CRS 3 code given by organization",
57
- disabled=True
58
- ),
59
- "crs_5_code": st.column_config.TextColumn(
60
- "CRS 5",
61
- help="CRS 5 code given by organization",
62
- disabled=True
63
- ),
64
- },
65
- hide_index=True,
66
- )
67
 
68
- with col2:
69
- st.write("------------------")
70
-
71
- st.dataframe(
72
- p2_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "sgd_pred_code", "crs_3_code", "crs_5_code"]],
73
- use_container_width = True,
74
- height = 35 + 35 * len(p2_df),
75
- column_config={
76
- "similarity": st.column_config.TextColumn(
77
- "Similarity",
78
- help="simialrity",
79
- disabled=True
80
- ),
81
- "iati_id": st.column_config.TextColumn(
82
- "IATI ID",
83
- help="IATI Project ID",
84
- disabled=True
85
- ),
86
- "orga_abbreviation": st.column_config.TextColumn(
87
- "Organization",
88
- help="If description not in English, description in other language provided",
89
- disabled=True
90
- ),
91
- "client": st.column_config.TextColumn(
92
- "Client",
93
- help="Client organization of customer",
94
- disabled=True
95
- ),
96
- "title_main": st.column_config.TextColumn(
97
- "Title",
98
- help="If title not in English, title in other language provided",
99
- disabled=True
100
- ),
101
- "description_main": st.column_config.TextColumn(
102
- "Description",
103
- help="If description not in English, description in other language provided",
104
- disabled=True
105
- ),
106
- "country": st.column_config.TextColumn(
107
- "Country",
108
- help="Country of project",
109
- disabled=True
110
- ),
111
- "sgd_pred_code": st.column_config.TextColumn(
112
- "SDG Prediction",
113
- help="Prediction of SDG's",
114
- disabled=True
115
- ),
116
- "crs_3_code": st.column_config.TextColumn(
117
- "CRS 3",
118
- help="CRS 3 code given by organization",
119
- disabled=True
120
- ),
121
- "crs_5_code": st.column_config.TextColumn(
122
- "CRS 5",
123
- help="CRS 5 code given by organization",
124
- disabled=True
125
- ),
126
- },
127
- hide_index=True,
128
- )
 
 
 
 
 
 
 
 
 
 
 
1
  import streamlit as st
2
+ import pandas as pd
3
 
4
  def show_table(p1_df, p2_df):
 
 
 
5
  st.write("------------------")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6
 
7
+ p1_df = p1_df.reset_index(drop=True)
8
+ p2_df = p2_df.reset_index(drop=True)
9
+
10
+ for i in range(len(p1_df) - 1, -1, -2):
11
+ match_df = pd.DataFrame()
12
+ row_from_p1 = p1_df.iloc[[i]]
13
+ row_from_p2 = p2_df.iloc[[i]]
14
+
15
+ # Correctly append rows to match_df
16
+ match_df = pd.concat([row_from_p1, row_from_p2], ignore_index=True)
17
+
18
+ st.dataframe(
19
+ match_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "sgd_pred_code", "crs_3_code", "crs_5_code"]],
20
+ use_container_width = True,
21
+ height = 35 + 35 * len(match_df),
22
+ column_config={
23
+ "similarity": st.column_config.TextColumn(
24
+ "Similarity",
25
+ help="simialrity",
26
+ disabled=True
27
+ ),
28
+ "iati_id": st.column_config.TextColumn(
29
+ "IATI ID",
30
+ help="IATI Project ID",
31
+ disabled=True
32
+ ),
33
+ "orga_abbreviation": st.column_config.TextColumn(
34
+ "Organization",
35
+ help="If description not in English, description in other language provided",
36
+ disabled=True
37
+ ),
38
+ "client": st.column_config.TextColumn(
39
+ "Client",
40
+ help="Client organization of customer",
41
+ disabled=True
42
+ ),
43
+ "title_main": st.column_config.TextColumn(
44
+ "Title",
45
+ help="If title not in English, title in other language provided",
46
+ disabled=True
47
+ ),
48
+ "description_main": st.column_config.TextColumn(
49
+ "Description",
50
+ help="If description not in English, description in other language provided",
51
+ disabled=True
52
+ ),
53
+ "country": st.column_config.TextColumn(
54
+ "Country",
55
+ help="Country of project",
56
+ disabled=True
57
+ ),
58
+ "sgd_pred_code": st.column_config.TextColumn(
59
+ "SDG Prediction",
60
+ help="Prediction of SDG's",
61
+ disabled=True
62
+ ),
63
+ "crs_3_code": st.column_config.TextColumn(
64
+ "CRS 3",
65
+ help="CRS 3 code given by organization",
66
+ disabled=True
67
+ ),
68
+ "crs_5_code": st.column_config.TextColumn(
69
+ "CRS 5",
70
+ help="CRS 5 code given by organization",
71
+ disabled=True
72
+ ),
73
+ },
74
+ hide_index=True,
75
+ )
76
+
77
+ st.write("------------------")