Seaborn
Grids are general types of plots that allow you to map plot types to _______ and ______ of a grid, this helps you create__________ separated by ___________
rows and columns similar plots features.
What does rugplot do?
rugplots are actually a very simple concept, they just draw a dash mark for every point on a univariate distribution. They are the building block of a KDE plot:
boxplot
sns.boxplot(data=tips,palette='rainbow',orient='h')
#What changes the color is heatmap?
cmap
#Why is the linecolor and linewidth important when we are dealing with heatmaps?
#They give us space to see
Pair Grid vs pairplot
The difference between pairplot and PairGrid is u have control when you are dealing with PairGrid
is rugplot univarient?
Yes
Matrix plots allow you to plot data as _______and can also be used to indicate ___________
color-encoded matrices clusters within the data
If we are dealing with univarient data we are going to be using
sns.distplot(df['column'], kde=False, bins=10)
factor plot
sns.factorplot(x='sex',y='total_bill',data=tips,kind='bar')
heatmap formula
sns.heatmap(fp)
If we are dealing with bivarient data we are going to be using
sns.jointplot(x= 'total_bill', y='tip',data=tips, kind= hex)
kde plot
sns.kdeplot(tips['total_bill'])
Pairplot
sns.pairplot(tips, hue='') hue has to be catagorical
rugplot code
sns.rugplot(tips['total_bill'])
strip plot
sns.stripplot(x="day", y="total_bill", data=tips)
For the above picture we want to compare male and female what should we we do?
sns.stripplot(x="day", y="total_bill", data=tips,jitter=True,hue='sex',palette='Set1')
For the above picture we want to compare male and female what should we we do? the graph should not be on top of each other
sns.stripplot(x='day', y='total_bill', data=tips, hue='sex', dodge=True)
For the above picture, since they are all stacked up we want to unstack them what argument do we add in?
sns.stripplot(x='day', y='total_bill', data=tips, jitter=True)
swarmplot
sns.swarmplot(x="day", y="total_bill", data=tips)
What do we so when we want to use compare two things using violin plot
sns.violinplot(x="day", y="total_bill", data=tips,hue='sex',palette='Set1')
What do we so when we want to use compare two things using violin plot in the same violin plot
sns.violinplot(x="day", y="total_bill", data=tips,hue='sex',split=True,palette='Set1')
Violin Plot
sns.violinplot(x="day", y="total_bill", data=tips,palette='rainbow')
Inorder to use the heat map we need what function?
tips.corr() If we have a catagorical and numerical form we need to change it to fp = flights.pivot_table(index='month', columns='year', values='passengers')
barplot
we use one catagorical and one numerical column sns.barplot(x=, y=, data=, estimator=)