Svep för att visa menyn

Histplot

A histogram (aka histplot) is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.

An example of a histplot:

To initialize a histplot based on the pandas DataFrame, we need to input at least 2 parameters: x/y (the column in which values will be used to create a histplot) and data (the DataFrame containing the data).

Look at the code below!


              12345678910111213
            
# Importing libraries needed
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

# Reading a file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example6.csv')

# Creating a histplot
sns.histplot(x = 'value', data = df)

# Showing the plot
plt.show()

We can change the histogram binning intervals by using binwidth=n as an argument in the plot function, n - is the width of one column:


              12345678910111213
            
# Importing the libraries needed
import seaborn as sns
import matplotlib.pyplot
import pandas as pd

# Reading a file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example6.csv')

# Creating a histplot
sns.histplot(x = 'value', data = df, binwidth = 2)

# Showing the plot
plt.show()

Let's solve this problem!

Uppgift

Swipe to start coding

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a x-oriented lineplot using 'answer' column in the plot function.
Set binwidth = 0.2.
Show the plot.

Lösning

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 2. Kapitel 7

Fråga AI

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

Histplot

A histogram (aka histplot) is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.

An example of a histplot:

Look at the code below!


              12345678910111213
            
# Importing libraries needed
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

# Reading a file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example6.csv')

# Creating a histplot
sns.histplot(x = 'value', data = df)

# Showing the plot
plt.show()

We can change the histogram binning intervals by using binwidth=n as an argument in the plot function, n - is the width of one column:


              12345678910111213
            
# Importing the libraries needed
import seaborn as sns
import matplotlib.pyplot
import pandas as pd

# Reading a file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example6.csv')

# Creating a histplot
sns.histplot(x = 'value', data = df, binwidth = 2)

# Showing the plot
plt.show()

Let's solve this problem!

Uppgift

Swipe to start coding

Import the seaborn with sns alias.
Import the matplotlib.pyplot with plt alias.
Import the pandas with pd alias.
Read the file using df variable.
Create a x-oriented lineplot using 'answer' column in the plot function.
Set binwidth = 0.2.
Show the plot.

Lösning

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 2. Kapitel 7

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan