#add color to box plot in seaborn module
import seaborn as sns
# Load the "tips" dataset from Seaborn
df = sns.load_dataset("tips")
# Set the Seaborn style to "ticks"
sns.set_style("ticks")
# Create a boxplot with the categorical variable assigned to hue
sns.boxplot(x="day", y="total_bill", data=df, hue="day", palette="Set2", dodge=True, legend=False)
# Show the plot
sns.despine()

#add color to box plot in seaborn module
import seaborn as sns
# Load the "tips" dataset from Seaborn
df = sns.load_dataset("tips")
# Set the Seaborn style to "ticks"
sns.set_style("ticks")
# Create a boxplot with the categorical variable assigned to hue
sns.boxplot(x="day", y="total_bill", data=df, hue="day", palette="Set2", dodge=True, legend=True)
# Show the plot
sns.despine()

#add color to box plot in seaborn module
import seaborn as sns
# Load the "tips" dataset from Seaborn
df = sns.load_dataset("tips")
# Set the Seaborn style to "ticks"
sns.set_style("ticks")
# Create a boxplot with the categorical variable assigned to hue
sns.boxplot(x="day", y="total_bill", data=df, hue="day", palette="magma", dodge=False, legend=True)
# Show the plot
sns.despine()

#add color to box plot in seaborn module
import seaborn as sns
# Load the "tips" dataset from Seaborn
df = sns.load_dataset("tips")
# Set the Seaborn style to "ticks"
sns.set_style("ticks")
# Create a boxplot with the categorical variable assigned to hue
sns.boxplot(x="day", y="total_bill", data=df, hue="day", palette="Spectral", dodge=False, legend=False)
# Show the plot
sns.despine()

#add color to box plot in seaborn module
import seaborn as sns
# Load the "tips" dataset from Seaborn
df = sns.load_dataset("tips")
# Set the Seaborn style to "ticks"
sns.set_style("ticks")
# Create a boxplot with the categorical variable assigned to hue
sns.boxplot(x="day", y="total_bill", data=df, hue="day", palette="husl", dodge=False, legend=False)
# Show the plot
sns.despine()

# call seaborn module
import seaborn as sns
# Load the "tips" dataset from Seaborn
df = sns.load_dataset("tips")
# Set the Seaborn style to "ticks"
sns.set_style("ticks")
#define custom plot and paramters
custom_palette = sns.color_palette("flare", 4)
# Create a boxplot with the categorical variable assigned to hue
sns.boxplot(x="day", y="total_bill", data=df, hue="day", palette=custom_palette, dodge=False, legend=False)
# Show the plot
sns.despine()

# install julia windows shell
> winget install julia -s msstore