Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -10,12 +10,27 @@ DATA_FILE = "data/gwf_2017-2021_specter2_base.json"
|
|
10 |
THEMES = {"cluster": "fall", "year": "mint", "source": "phase"}
|
11 |
|
12 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
13 |
def load_df(data_file: os.PathLike):
|
14 |
df = pd.read_json(data_file, orient="records")
|
15 |
df["x"] = df["point2d"].apply(lambda x: x[0])
|
16 |
df["y"] = df["point2d"].apply(lambda x: x[1])
|
17 |
df["year"] = df["year"].replace("", 0)
|
18 |
df["year"] = df["year"].astype(int)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
if "publication_type" in df.columns:
|
20 |
df["type"] = df["publication_type"]
|
21 |
df = df.drop(columns=["point2d", "publication_type"])
|
@@ -65,7 +80,7 @@ with st.sidebar:
|
|
65 |
DF.loc[df_mask, "opacity"] = 1.0
|
66 |
st.write(f"Number of points: {DF[df_mask].shape[0]}")
|
67 |
|
68 |
-
color = st.selectbox("Color", ("cluster", "source"))
|
69 |
|
70 |
|
71 |
fig = px.scatter(
|
@@ -76,9 +91,12 @@ fig = px.scatter(
|
|
76 |
color=color,
|
77 |
width=1000,
|
78 |
height=800,
|
79 |
-
|
80 |
color_continuous_scale=THEMES[color],
|
81 |
)
|
|
|
|
|
|
|
82 |
fig.update_layout(
|
83 |
# margin=dict(l=10, r=10, t=10, b=10),
|
84 |
showlegend=False,
|
@@ -86,8 +104,14 @@ fig.update_layout(
|
|
86 |
family="Times New Roman",
|
87 |
size=30,
|
88 |
),
|
|
|
|
|
|
|
|
|
|
|
|
|
89 |
)
|
90 |
fig.update_xaxes(title="")
|
91 |
fig.update_yaxes(title="")
|
92 |
|
93 |
-
st.plotly_chart(fig, use_container_width=True)
|
|
|
10 |
THEMES = {"cluster": "fall", "year": "mint", "source": "phase"}
|
11 |
|
12 |
|
13 |
+
def decorated_to_string(list_of_things):
|
14 |
+
if len(list_of_things) > 2:
|
15 |
+
return ", ".join(list_of_things[:-1]) + ", and " + list_of_things[-1]
|
16 |
+
else:
|
17 |
+
return " and ".join(list_of_things)
|
18 |
+
|
19 |
+
|
20 |
def load_df(data_file: os.PathLike):
|
21 |
df = pd.read_json(data_file, orient="records")
|
22 |
df["x"] = df["point2d"].apply(lambda x: x[0])
|
23 |
df["y"] = df["point2d"].apply(lambda x: x[1])
|
24 |
df["year"] = df["year"].replace("", 0)
|
25 |
df["year"] = df["year"].astype(int)
|
26 |
+
|
27 |
+
df["authors_trimmed"] = df.authors.apply(
|
28 |
+
lambda row: [(x[x.index(",") + 1:].strip() + " " + x.split(",")[0].strip()) if "," in x else x for x in row]
|
29 |
+
)
|
30 |
+
df["authors_trimmed"] = df.authors_trimmed.apply(
|
31 |
+
lambda row: decorated_to_string(row[:5]) + (" et al." if len(row) > 5 else "")
|
32 |
+
)
|
33 |
+
|
34 |
if "publication_type" in df.columns:
|
35 |
df["type"] = df["publication_type"]
|
36 |
df = df.drop(columns=["point2d", "publication_type"])
|
|
|
80 |
DF.loc[df_mask, "opacity"] = 1.0
|
81 |
st.write(f"Number of points: {DF[df_mask].shape[0]}")
|
82 |
|
83 |
+
color = st.selectbox("Color", ("cluster", "year", "source"))
|
84 |
|
85 |
|
86 |
fig = px.scatter(
|
|
|
91 |
color=color,
|
92 |
width=1000,
|
93 |
height=800,
|
94 |
+
custom_data=("title", "authors_trimmed", "year", "source", "keywords"),
|
95 |
color_continuous_scale=THEMES[color],
|
96 |
)
|
97 |
+
fig.update_traces(
|
98 |
+
hovertemplate="<b>%{customdata[0]}</b><br>%{customdata[1]}<br>%{customdata[2]}<br><i>%{customdata[3]}</i><br><i font-size='8'>Keywords: %{customdata[4]}</i>"
|
99 |
+
)
|
100 |
fig.update_layout(
|
101 |
# margin=dict(l=10, r=10, t=10, b=10),
|
102 |
showlegend=False,
|
|
|
104 |
family="Times New Roman",
|
105 |
size=30,
|
106 |
),
|
107 |
+
hoverlabel=dict(
|
108 |
+
align="left",
|
109 |
+
font_size=14,
|
110 |
+
font_family="Rockwell",
|
111 |
+
namelength=-1,
|
112 |
+
),
|
113 |
)
|
114 |
fig.update_xaxes(title="")
|
115 |
fig.update_yaxes(title="")
|
116 |
|
117 |
+
st.plotly_chart(fig, use_container_width=True)
|