FacetGrid

The time to learn the cool plots we were talking about!

A useful approach to exploring medium-dimensional data is by drawing multiple instances of the same plot on different subsets of your dataset.

FacetGrid object takes a DataFrame as input and the names of the variables that will form the grid's row, column, or hue dimensions. The variables should be categorical, and the data at each level of the variable will be used for a facet along that axis.

python
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import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

df = pd.read_csv('filename.csv')

# Creating the FacetGrid variable
g = sns.FacetGrid(df, col = 'column_name', row = 'row_name')

# The main approach for visualizing data on this grid is with the FacetGrid.map() method
g.map(sns.scatterplot, 'column_name')

plt.show()

Tarea

Swipe to start coding

Set the 'whitegrid' style with the 'cornsilk' axes.facecolor.
Create a FacetGrid variable g:

Set the data for the FacetGrid;
Set the col parameter equals the 'day';
Set the row parameter equals the 'smoker';
Set the height parameter equals 3.

Implement the .map() function to build histplots:

Create histplots;
Set the 'olive' color for the histplots;
Add the kde parameter;
Disable the fill parameter;
Set the binwidth equals 4;
Display the plot.

Solución

# Importing libraries needed

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Reading the file

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656/tips.csv')

# Set the 'whitegrid' style with the 'cornsilk' facecolor

sns.set_style('whitegrid', {'axes.facecolor': 'cornsilk'})

# Create a FacetGrid variable

g = sns.FacetGrid(# Set the data

df,

# Set the col

col = 'day',

# Set the row

row = 'smoker',

# Set the height

height = 3)

# Build histplots using the .map() function

g.map(# Create histplots

sns.histplot,

'total_bill',

# Set the color

color = 'olive',

# Set the kde

kde = True,

# Set the fill

fill = False,

# Set the binwidth

binwidth = 4)

# Display the plot

plt.show()

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 5. Capítulo 1

# Importing libraries needed

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Reading the file

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656/tips.csv')

# Set the 'whitegrid' style with the 'cornsilk' facecolor

sns.set_style('___', {'axes.facecolor': '___'})

# Create a FacetGrid variable

g = sns.___(# Set the data

___,

# Set the col

col = '___',

# Set the row

row = '___',

# Set the height

___ = 3)

# Build histplots using the .map() function

g.___(# Create histplots

sns.___,

'total_bill',

# Set the color

___ = '___',

# Set the kde

kde = ___,

# Set the fill

fill = ___,

# Set the binwidth

___ = 4)

# Display the plot

___

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