Hexagonal binning is a plot of two numeric variables with the records binned into hexagons. The code below is a hexagon binning plot of the relationship between the finished square feet versus the tax-assessed value for homes. Rather than plotting points, records are grouped into hexagonal bins and color indicating the number of records in that bin. To get the csv file used, click here.
Loading Libraries
Python3
import numpy as npimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as plt |
Loading Data
Python3
data = pd.read_csv("kc_tax.csv")print (data.head()) |
Output:
TaxAssessedValue SqFtTotLiving ZipCode 0 NaN 1730 98117.0 1 206000.0 1870 98002.0 2 303000.0 1530 98166.0 3 361000.0 2000 98108.0 4 459000.0 3150 98108.0
Data info
Python3
print (data.shape)print ("\n", data.info()) |
Output:
(498249, 3) RangeIndex: 498249 entries, 0 to 498248 Data columns (total 3 columns): TaxAssessedValue 497511 non-null float64 SqFtTotLiving 498249 non-null int64 ZipCode 467900 non-null float64 dtypes: float64(2), int64(1) memory usage: 11.4 MB
Selecting data
Python3
# Take a subset of the King County, Washington# Tax data, for Assessed Value for Tax purposes# < $600, 000 and Total Living Sq. Feet > 100 &# < 2000data = data.loc[(data['TaxAssessedValue'] < 600000) & (data['SqFtTotLiving'] > 100) & (data['SqFtTotLiving'] < 2000)] |
Checking for null-value
Python3
# As you can see in the info# that records are not completedata['TaxAssessedValue'].isnull().values.any() |
Output:
False
Code #1: Hexagonal Binning
Python3
x = data['SqFtTotLiving']y = data['TaxAssessedValue']fig = sns.jointplot(x, y, kind ="hex", color ="# 4CB391")fig.fig.subplots_adjust(top = 0.85)fig.set_axis_labels('Total Sq.Ft of Living Space', 'Assessed Value for Tax Purposes')fig.fig.suptitle('Tax Assessed vs. Total Living Space', size = 18); |
Output:
Contour Plot : A contour plot is a curve along which the function of two variable, has a constant value. It is a plane section of the three-dimensional graph of the function f(x, y) parallel to the x, y plane. A contour line joins points of equal elevation (height) above a given level. A contour map is a map is illustrated in the code below. The contour interval of a contour map is the difference in elevation between successive contour lines.
Code #2: Contour Plot
Python3
fig2 = sns.kdeplot(x, y, legend = True)plt.xlabel('Total Sq.Ft of Space')plt.ylabel('Assessed Value for Taxes')fig2.figure.suptitle('Tax Assessed vs. Total Living', size = 16); |
Output:
