How To Change The Size Boxplot Python

Change Seaborn Plot Size

Created: April-24, 2021

Employ the seaborn.set() Function to Modify the Size of a Seaborn Plot
Employ the rcParams Function to Change the Size of a Seaborn Plot
Use the matplotlib.pyplot.figure() Function to Change the Size of a Seaborn Plot
Use the matplotlib.pyplot.gcf() Function to Alter the Size of a Seaborn Plot
Use the top and aspect Parameters to Modify the Size of a Seaborn Plot

Commonly, plots and figures have some default size, or their dimensions are determined automatically past the compiler.

In this tutorial, we will hash out how to modify the size of a seaborn plot in Python.

Use the `seaborn.set()` Function to Alter the Size of a Seaborn Plot

The seaborn.set up() function is used to control the theme and configurations of the seaborn plot.

The rc parameter of the part can be used to control the size of the terminal effigy. We volition pass a dictionary equally the value to this parameter with the key equally figure.figsize and the required dimensions as the value.

Encounter the post-obit code.

              import pandas as pd import matplotlib.pyplot as plt import seaborn equally sns  df = pd.DataFrame({"Mean solar day 1": [seven,1,v,vi,3,10,v,8],                  "Solar day 2" : [1,ii,eight,4,3,9,5,2]})  sns.ready(rc = {'figure.figsize':(15,8)}) p = sns.lineplot(information = df)

Employ the `rcParams` Function to Change the Size of a Seaborn Plot

Similar to the seaborn.set() part, the rcParams in the matplotlin.pyplot module is used to control the style of the plot. We tin can utilize the effigy.figsize parameter here to change the size of the figure.

For instance,

              import pandas every bit pd import matplotlib.pyplot every bit plt import seaborn every bit sns  df = pd.DataFrame({"Day one": [7,1,5,6,3,10,5,8],                  "Day 2" : [one,2,eight,4,three,9,five,2]})  from matplotlib import rcParams  rcParams['figure.figsize'] = 15,8 p = sns.lineplot(data = df)

Use the `matplotlib.pyplot.figure()` Office to Modify the Size of a Seaborn Plot

The matplotlib.pyplot.effigy() function is used to activate a figure. We tin utilise it before plotting the required seaborn plot. To change the size of the plot, we tin utilize the figsize parameter and give it the desired value for top and width.

For example,

              import pandas as pd import matplotlib.pyplot as plt import seaborn as sns  df = pd.DataFrame({"24-hour interval i": [vii,1,5,six,3,10,5,8],                  "24-hour interval ii" : [1,2,8,four,3,9,five,2]})   plt.figure(figsize = (15,eight)) p = sns.lineplot(information = df)

Use the `matplotlib.pyplot.gcf()` Office to Alter the Size of a Seaborn Plot

The matplotlib.pyplot.gcf() function is used to become an case of the current effigy. We can apply the set_size_inches() method with this instance to modify the last size of the plot.

This method works for Facetgrid blazon objects likewise.

For example,

              import pandas as pd import matplotlib.pyplot as plt import seaborn every bit sns  df = pd.DataFrame({"Day 1": [7,1,5,6,iii,ten,5,viii],                  "Day 2" : [1,ii,8,four,iii,ix,5,2]})   p = sns.lineplot(data = df) plt.gcf().set_size_inches(fifteen, 8)

Use the `height` and `aspect` Parameters to Modify the Size of a Seaborn Plot

Unlike plots in the seaborn module similar lmplot, catplot, factorplot, jointplot already have the parameters top and aspect to control the size of the plotted figure.

The post-obit lawmaking shows how to use these parameters.

              import pandas as pd import matplotlib.pyplot as plt import seaborn as sns  df = pd.DataFrame({"Twenty-four hour period ane": [7,1,v,6,three,ten,v,eight],                  "Mean solar day two" : [1,2,8,4,3,nine,5,ii]})   p = sns.factorplot(data = df,pinnacle=viii, aspect=fifteen/8)

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