Pandas -Plotting
Plotting
Pandas uses theplot() method to create diagrams.
We can use Pyplot, a submodule of the Matplotlib library to visualize the diagram on the screen.
Read more about Matplotlib in ourMatplotlib Tutorial.
Example
Import pyplot from Matplotlib and visualize our DataFrame:
import matplotlib.pyplot as plt
df = pd.read_csv('data.csv')
df.plot()
plt.show()
The examples in this page uses a CSV file called: 'data.csv'.
Download data.csv orOpen data.csv
Scatter Plot
Specify that you want a scatter plot with thekind argument:
kind = 'scatter'
A scatter plot needs an x- and a y-axis.
In the example below we will use "Duration" for the x-axisand "Calories" for the y-axis.
Include the x and y arguments like this:
x = 'Duration', y = 'Calories'
Example
import matplotlib.pyplot as plt
df = pd.read_csv('data.csv')
df.plot(kind = 'scatter', x = 'Duration', y = 'Calories')
plt.show()
Result
Remember: In the previous example, we learned that the correlation between "Duration" and "Calories" was0.922721, and we concluded with the fact that higher duration means more calories burned.
By looking at the scatterplot, I will agree.
Let's create another scatterplot, where there is a bad relationship between the columns, like "Duration" and "Maxpulse", with the correlation0.009403:
Example
A scatterplot where there are no relationship between the columns:
import matplotlib.pyplot as plt
df = pd.read_csv('data.csv')
df.plot(kind = 'scatter', x = 'Duration', y = 'Maxpulse')
plt.show()
Result
Histogram
Use thekind argument to specify that you want a histogram:
kind = 'hist'
A histogram needs only one column.
A histogram shows us the frequency of each interval, e.g. how many workouts lasted between 50 and 60 minutes?
In the example below we will use the "Duration" column to create the histogram:
Note: The histogram tells us that there were over 100 workouts that lasted between 50 and 60 minutes.
