R can you convert to python please

Np Ms Office 365/Excel 2016 I Ntermed
1st Edition
ISBN:9781337508841
Author:Carey
Publisher:Carey
Chapter3: Performing Calculations With Formulas And Functions
Section: Chapter Questions
Problem 3.9CP
icon
Related questions
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
Transcribed Image Text: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
Expert Solution
steps

Step by step

Solved in 3 steps

Blurred answer
Knowledge Booster
Introduction to computer system
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Np Ms Office 365/Excel 2016 I Ntermed
Np Ms Office 365/Excel 2016 I Ntermed
Computer Science
ISBN:
9781337508841
Author:
Carey
Publisher:
Cengage