ggplot in action!

Your cheatsheat to ggplot!

Photo by Bench Accounting on Unsplash

First, install the pandas and plotnine packages to ensure they are available.

!pip install pandas plotnine

To produce a plot with the ggplot class from plotnine, we must provide three things:

1. A data frame containing our data.
2. How the columns of the data frame can be translated into positions, colors, sizes, and shapes of graphical elements (“aesthetics”).
3. The actual graphical elements to display (“geometric objects”).

Scatter Plot

fig(12,8)
ggplot(titanic, aes(x=Age, y=Fare)) + 
  geom_point() + 
  labs(y="Fare", 
       x="Age", 
       title="Titanic - Age vs Fare")+
        theme_gray()+
       theme(plot.title = element_text(size=22),axis.text.x= element_text(size=15),
                            axis.text.y= element_text(size=15), axis.title=element_text(size=18))

Bar Plot

fig(12,8)
ggplot(university[university$score>60,], aes(country))+
geom_bar(stat="count", width = 0.5, fill="darkblue")+
 labs(x="Country",
         y="Score", 
       title="Country vs Score above 60 ")+ 
theme_bw()+
theme(plot.title = element_text(size=22),axis.text.x= element_text(size=15),
                            axis.text.y= element_text(size=15), axis.title=element_text(size=18))

Horizontal Bar Plot

fig(12,8)
ggplot(hosp_code, aes(x=hospital_code,y=count))+
geom_bar(stat="identity",width = 0.5,aes(fill=count))+ 
scale_fill_gradient(low = "red", high = "blue")+
coord_flip()+
 labs(x="Hospital Code",
         y="Count", 
       title="Distribution of Hospital Type Code")+ 
theme_bw()+
theme(plot.title = element_text(size=22),axis.text.x= element_text(size=15,angle=90),
                            axis.text.y= element_text(size=15), axis.title=element_text(size=18))

Pie Plot

fig(12,8)
pie <- ggplot(netflix, aes(x = "", fill = factor(type))) + 
  geom_bar(width = 1) +
  theme(axis.line = element_blank(), 
        plot.title = element_text(hjust=0.5,size=22)) + 
  labs(fill="class", 
       x=NULL, 
       y=NULL, 
       title="Pie Chart of Netflix shows")
  
pie + coord_polar(theta = "y", start=0)

Time Series Chart

fig(12,8)
ggplot(aus_deaths, aes(x=ObservationDate)) + 
  geom_line(aes(y=total)) + 
    labs(x="Date",
         y="Number of Deaths", 
       title="Distribution of COVID Deaths in Australia")+ 
theme_bw()+
theme(plot.title = element_text(size=22)
      ,axis.text.x= element_text(size=15),
       axis.text.y= element_text(size=15),
        axis.title=element_text(size=18))

Box Plot

fig(12,8)
ggplot(german_university, aes(y=score))+ 
geom_boxplot(varwidth=T, fill="lightblue")  +
labs(x="",
    y="Score", 
    title="Distribution of German Universities Score")+  
theme_bw()+
theme(plot.title = element_text(size=22)
      ,axis.text.x= element_text(size=15),
       axis.text.y= element_text(size=15),
        axis.title=element_text(size=18))

Histogram Plot

fig(12,8)
ggplot(com_df, aes(x=salary)) + 
geom_histogram(binwidth=10000,fill="magenta")+
labs(x="Salary",
         y="Count", 
       title="Distribution of Salaries for Comm&Mgmt")+  
theme_bw()+
theme(plot.title = element_text(size=22)
      ,axis.text.x= element_text(size=15),
       axis.text.y= element_text(size=15),
        axis.title=element_text(size=18))

Density Plot

fig(12,8)
ggplot(death_by_state, aes(x=freq))+
  geom_density(color="darkblue", fill="lightblue",alpha=0.7)+
labs(x="Deaths Per State",
         y="Count", 
       title="Distribution of Victims in United States")+  
theme_bw()+
theme(plot.title = element_text(size=22)
      ,axis.text.x= element_text(size=15),
       axis.text.y= element_text(size=15),
        axis.title=element_text(size=18))

Heatmap Plot

fig(12,8)
ggplot(sample_n(health,30000), aes(Age,Stay , fill=Admission_Deposit)) + 
  geom_tile()+
labs(y="Stay",
         x="Age", 
       title="Distribution of Age & Stay with Admission Deposit)")+  
theme_bw()+
theme(plot.title = element_text(size=22)
      ,axis.text.x= element_text(size=15),
       axis.text.y= element_text(size=15),
        axis.title=element_text(size=18))

Do reach out and comment if you get stuck!

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