this is R can you convert to python please line_proportion_by_season <- mod_data%>%group_by (season) %>%count (speaker) %>%mutate (proportion = round ((n / sum(n)) * 100, 1)) %>%arrange (season, desc (proportion))line_proportion_over_time <- line_proportion_by_season %>%filter (speaker %in% main_characters) %>%ggplot (aes (x = season, y = proportion, color = speaker, label = proportion)) +geom_point (size = 2) +geom_line () +scale_x_continuous(breaks = seq(1, 9, 1)) +theme_minimal() +theme (legend. position = "none") +labs (y="% of lines",title="% of Lines by Season") +theme (plot.title = element_text(hjust = 0.5)) +facet_wrap (~ factor(str_to_title(speaker), levels = str_to_title(main_characters)), ncol = 3) +geom_text (vjust = -1.2, size = 3.5) +ylim (0, 50) +scale_color_manual(values = office_colors)line_proportion_over_time

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R can you convert to python please

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

this is R can you convert to python please

line_proportion_by_season <- mod_data%>%
group_by (season) %>%
count (speaker) %>%
mutate (proportion = round ((n / sum(n)) * 100, 1)) %>%
arrange (season, desc (proportion))
line_proportion_over_time <- line_proportion_by_season %>%
filter (speaker %in% main_characters) %>%
ggplot (aes (x = season, y = proportion, color = speaker, label = proportion)) +
geom_point (size = 2) +
geom_line () +
scale_x_continuous(breaks = seq(1, 9, 1)) +
theme_minimal() +
theme (legend. position = "none") +
labs (y="% of lines",
title="% of Lines by Season") +
theme (plot.title = element_text(hjust = 0.5)) +
facet_wrap (~ factor(str_to_title(speaker), levels = str_to_title(main_characters)), ncol = 3) +
geom_text (vjust = -1.2, size = 3.5) +
ylim (0, 50) +
scale_color_manual(values = office_colors)
line_proportion_over_time

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