Jun-12-2019, 07:32 AM
(This post was last modified: Jun-18-2019, 06:09 PM by Larz60+. Edited 1 time in total.

*Edit Reason: fixed code tags*)
I have problem with Matplotlib contour graph. I have graph size (100x100). All "importance" values of CSV which are >0 should be red. Every value <0 should be blue.

My question is, if is possible to have places with no data (no coordinates in CSV) in white color. Now it's couting some average color from nearby points.

This is situation which I have right now:

This is data visualized by points:

This type of graph that I need:

Is possible to get similar graph by using Contour?

This is my code:

My question is, if is possible to have places with no data (no coordinates in CSV) in white color. Now it's couting some average color from nearby points.

This is situation which I have right now:

This is data visualized by points:

This type of graph that I need:

Is possible to get similar graph by using Contour?

This is my code:

import numpy as np import matplotlib.pyplot as plt import matplotlib.mlab as ml import pandas as pd csv_filename = 'data.csv' df = pd.read_csv(csv_filename) data = [df.x_pos, df.y_pos] x = df.x_pos y = df.y_pos z = df.importance ny, nx = 1000, 1000 xmin, xmax = 0, 100 ymin, ymax = 0, 100 xi = np.linspace(xmin, xmax, nx) yi = np.linspace(ymin, ymax, ny) zi = ml.griddata(x, y, z, xi, yi, interp='linear') plt.contour(xi, yi, zi, 1, linewidths = 0, colors = 'k') plt.pcolormesh(xi, yi, zi, vmin=-1, vmax=1, cmap = plt.get_cmap('bwr')) #plt.scatter(x, y, marker = 'o', c = z, s = 10, vmin=-1, vmax=1, cmap = plt.get_cmap('bwr')) plt.colorbar() plt.xlim(xmin, xmax) plt.ylim(ymin, ymax) plt.show()This is CSV data example:

x_pos,y_pos,importance 32,-48,0.87487145766094 32,52,0.43743572883047 32,68,1.127350663193Full CSV data is here: https://pastebin.com/mYS6LSyG