[FIXED] Scatter plot markers color based on custom scale

Issue

I want to color my scatter points based on a custom color scale but I got this error

ValueError: 'c' argument has 150 elements, which is inconsistent with 'x' and 'y' with size 100.

For the example below, it seems like the length of t needs to be the same as x and y. However, I want to color the points with a wider scale, for example -50 to 150 instead of 0 to 100.

How can I do this? Thanks

import numpy as np
import matplotlib.pyplot as plt

x = np.random.rand(100)
y = np.random.rand(100)
t = np.arange(100)
plt.scatter(x, y, c=t)
plt.show()

Solution

I'm not really sure what your goal is, so I present you two answers: hopefully one is the one you are looking for.

First:

Simply create an array t of 100 elements ranging from -50 to 150:

import numpy as np
import matplotlib.pyplot as plt

x = np.random.rand(100)
y = np.random.rand(100)
t = np.linspace(-50, 150, len(x))
fig, ax = plt.subplots()
sc = ax.scatter(x, y, c=t)
fig.colorbar(sc, label="value")
plt.show()

Second:

Create an array t with 100 elements, ranging from 0 to 100. Asks matplotlib to visualize this colors in the range from -50 to 150.

import numpy as np
import matplotlib.pyplot as plt

x = np.random.rand(100)
y = np.random.rand(100)
t = np.arange(100)
fig, ax = plt.subplots()
sc = ax.scatter(x, y, c=t, vmin=-50, vmax=150)
fig.colorbar(sc, label="value")
plt.show()

Answered By - Davide_sd