GitHub - brad-darksbian/fed_dashboard: A simple Dash and Plotly dashboard to review and compare… A simple dashboard to view federal economic data. This system uses the included CSV file of federal economic data to… github.com
import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import griddata
Load data from CSV
dat = np.genfromtxt('dat.xyz', delimiter=' ',skip_header=0) X_dat = dat :,0 » Y_dat = dat :,1 » Z_dat = dat :,2 »
Convert from pandas dataframes to numpy arrays
X, Y, Z, = np.array( » ), np.array( » ), np.array( » ) for i in range(len(X_dat)): X = np.append(X,X_dat i » ) Y = np.append(Y,Y_dat i » ) Z = np.append(Z,Z_dat i » )
create x-y points to be used in heatmap
xi = np.linspace(X.min(),X.max(),1000) yi = np.linspace(Y.min(),Y.max(),1000)
Z is a matrix of x-y values
zi = griddata((X, Y), Z, (xi None,: » , yi :,None » ), method='cubic')
I control the range of my colorbar by removing data
outside of my range of interest
zmin = 3 zmax = 12 zi (zi<zmin) | (zi>zmax) » = None
Create the contour plot
CS = plt.contourf(xi, yi, zi, 15, cmap=plt.cm.rainbow,
vmax=zmax, vmin=zmin)
plt.colorbar()
plt.show()
