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| import streamlit as st | |
| from Data import movies_df | |
| import altair as alt | |
| import pandas as pd | |
| ops = ['Action'] | |
| rev_action = 0 | |
| rev_adv = 0 | |
| rev_hor = 0 | |
| rev_anim = 0 | |
| rev_fant = 0 | |
| rev_crim = 0 | |
| rev_thr = 0 | |
| rev_mys = 0 | |
| rev_dr = 0 | |
| rev_comic = 0 | |
| rev_his = 0 | |
| rev_tv = 0 | |
| rev_wes = 0 | |
| rev_sci = 0 | |
| rev_rom = 0 | |
| for i in movies_df['Genres']: | |
| if 'Action' in i: | |
| rev_action += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Adventure' in i: | |
| rev_adv += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Animation' in i: | |
| rev_anim += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Horror' in i: | |
| rev_hor += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Fantasy' in i: | |
| rev_fant += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Crime' in i: | |
| rev_crim += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Mystery' in i: | |
| rev_mys += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Comedy' in i: | |
| rev_comic += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'History' in i: | |
| rev_his += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'TV Show' in i: | |
| rev_tv += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Western' in i: | |
| rev_wes += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Science Fiction' in i: | |
| rev_sci += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Romance' in i: | |
| rev_rom += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Thriller' in i: | |
| rev_thr += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| elif 'Drama' in i: | |
| rev_dr += int(movies_df[movies_df['Genres'] == i]['Revenue'].tolist()[0]) | |
| # TV Shows are not included because revenue of TV Shows is 0 or unknown. | |
| revenue = [rev_dr,rev_action,rev_adv,rev_anim,rev_wes,rev_mys,rev_crim,rev_his,rev_comic,rev_fant,rev_rom,rev_sci,rev_thr,rev_hor] | |
| genres = ['Drama','Action','Adventure','Animation','Western','Mystery','Crime','History','Comedy','Fantasy','Romance','Science Fiction','Thriller','Horror'] | |
| gen_rev = pd.DataFrame({'Genres':genres, 'Revenue':revenue}) | |
| st.write('## Comparison of Revenue for each Movie Genre') | |
| st.altair_chart(alt.Chart(gen_rev).mark_bar().encode(x = alt.X('Genres', title = "Movie Genre", axis= alt.Axis(labelAngle = -45)), y = alt.Y('Revenue', title = 'Revenue (in USD)')).properties(width = 800,height = 500).configure_scale(bandPaddingInner=0.2)) | |
| st.write('## How Revenue varies with Ratings') | |
| st.altair_chart(alt.Chart(movies_df).mark_bar().encode(x = alt.X('Rating', title = "Ratings", axis= alt.Axis(labelAngle = -45)), y = alt.Y('Revenue', title = 'Revenue (in USD)')).properties(width = 800,height = 500).configure_scale(bandPaddingInner=0.2)) | |