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import plotly.graph_objects as go
import plotly.express as px
import streamlit as st
import pandas as pd
import numpy as np
from src.arcs import generate_arc
from src.preprocess import get_last_known_bounty, get_latest_age, get_main_crew
from configparser import ConfigParser, ExtendedInterpolation
import warnings
warnings.filterwarnings("ignore")
# all_dims = ['Chapter', 'Appearance', 'Arc', 'Character', 'Appearance Notes']
pl_config = ConfigParser(interpolation=ExtendedInterpolation())
pl_config.read('cfg/cfg.ini')
end_chap = pl_config['SCRAPER'].getint('end_chap') + 1
char_link_fp = pl_config['SCRAPER'].get('char_link_fp')
chap_appearance_fp = pl_config['SCRAPER'].get('chap_appearance_fp')
char_details_fp = pl_config['SCRAPER'].get('char_details_fp')
age_bounty_fp = pl_config['SCRAPER'].get('age_bounty_fp')
st.set_page_config(page_title='One Dash', layout = 'wide', initial_sidebar_state = 'auto')
@st.cache_data()
def generate_df():
appearance_df = pd.read_csv(chap_appearance_fp)
char_details_df = pd.read_csv(char_details_fp)
df_age_bounty = pd.read_csv(age_bounty_fp)
return appearance_df, char_details_df, df_age_bounty
@st.cache_data()
def fig_app_by_arc(appearance_df, height):
fig_app_by_arc = px.histogram(appearance_df[appearance_df['Appearance'].isin(appearance_df['Appearance'].value_counts().head(20).index.tolist())],
x='Appearance',
color = 'Arc',
barmode='group',
labels={
"Appearance": "Name",
"counts": "Counts"
},
height = height
)
fig_app_by_arc.update_layout(
xaxis_title="Name",
yaxis_title="",
)
return fig_app_by_arc
@st.cache_data()
def fig_app_by_arc_sunburst(appearance_df):
fig_app_by_arc_sunburst = px.sunburst(appearance_df[appearance_df['Appearance'].isin(appearance_df['Appearance'].value_counts().head(10).index.tolist())],
path = ['Appearance', 'Arc'],
width = 800,
height = 800)
return fig_app_by_arc_sunburst
@st.cache_data()
def fig_latest_bounty(char_details_df, height):
df = char_details_df[char_details_df['last_bounty'] > 0]
df = df.sort_values(by = "last_bounty", ascending = False)
fig_latest_bounty = px.bar(df.head(50),
x = 'Name',
y = 'last_bounty',
width = 1000,
height = height,
log_y = True)
fig_latest_bounty.update_layout(
xaxis_title="Name",
yaxis_title="Last Bounty",
xaxis={'categoryorder':'total descending'}
)
return fig_latest_bounty
@st.cache_data()
def fig_latest_bounty_dist(char_details_df, height):
group_df = char_details_df[['main_crew','last_bounty']]
group_df = group_df.groupby(['main_crew']).sum()
group_df = group_df.sort_values(by= 'last_bounty', ascending=False)
fig_latest_bounty_dist = px.bar(group_df.head(20),
x="last_bounty",
height = height)
fig_latest_bounty_dist.update_layout(
xaxis_title="Bounty Group",
yaxis_title="",
)
return fig_latest_bounty_dist
@st.cache_data()
def fig_latest_age_to_bounty(df_age_bounty,height):
fig_latest_age_to_bounty = px.scatter(x = df_age_bounty['latest_age'],
y=df_age_bounty['last_bounty'],
color = df_age_bounty['Name'],
labels={
"latest_age": "Age",
"last_bounty": "Latest Bounty",
"Name": "Name"
},
height = height)
fig_latest_age_to_bounty.update_xaxes(tickangle=0)
fig_latest_age_to_bounty.update_layout(
xaxis_title="Age",
yaxis_title="Bounty Amount",
)
return fig_latest_age_to_bounty
@st.cache_data()
def fig_age_to_bounty_by_crew(df_age_bounty, height):
fig_age_to_bounty_by_crew = px.scatter(x = df_age_bounty['latest_age'],
y=df_age_bounty['last_bounty'],
color = df_age_bounty['main_crew'],
labels={
"latest_age": "Age",
"last_bounty": "Latest Bounty",
"main_crew": "Crew"
},
height = height)
fig_age_to_bounty_by_crew.update_xaxes(tickangle=0)
fig_age_to_bounty_by_crew.update_layout(
xaxis_title="Age",
yaxis_title="Bounty Amount",
)
return fig_age_to_bounty_by_crew
def main():
appearance_df, char_details_df, df_age_bounty = generate_df()
# st.set_page_config(layout="wide")
height = 650
st.markdown(""" <style>
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
</style> """,
unsafe_allow_html=True
)
# Select Plot Option
st.sidebar.markdown("## Character Appearance in each chapter")
char_appearance = st.sidebar.checkbox('Top 20 Character Appearance', value = True)
char_appearance_sunburst = st.sidebar.checkbox('Top 10 Character Appearance (Sunburst)', value = True)
st.sidebar.markdown("## Bounty")
char_bounty = st.sidebar.checkbox('Bounties (Descending order)', value = True)
latest_bounty = st.sidebar.checkbox('Bounty Distribution', value = False)
latest_age_to_bounty = st.sidebar.checkbox('Latest Bounty by age', value = False)
age_to_bounty_by_crew = st.sidebar.checkbox('Latest Bounty grouped by crew', value = False)
if char_appearance:
st.write("## Top 20 Character Appearance")
st.plotly_chart(fig_app_by_arc(appearance_df, height),use_container_width=True)
if char_appearance_sunburst:
st.write("## Top 10 Character Appearance!")
st.write("### Click on the name to expand on their info!")
st.plotly_chart(fig_app_by_arc_sunburst(appearance_df),use_container_width=True)
if char_bounty:
st.write("## Top 50 Latest bounty (log scaled)")
st.plotly_chart(fig_latest_bounty(char_details_df, height),use_container_width=True)
if latest_bounty:
st.write("## Top 50 Crews by Bounty")
st.plotly_chart(fig_latest_bounty_dist(char_details_df, height),use_container_width=True)
if latest_age_to_bounty:
st.write("## Bounty by Age")
st.plotly_chart(fig_latest_age_to_bounty(df_age_bounty,height),use_container_width=True)
if age_to_bounty_by_crew:
st.write("## Bounty by Age grouped by Crew")
st.plotly_chart(fig_age_to_bounty_by_crew(df_age_bounty, height), use_container_width=True)
if __name__ == "__main__":
main() |