Title: Set The Color Of A Matplotlib Plot
Slug: set_the_color_of_a_matplotlib
Summary: Set The Color Of A Matplotlib Plot
Date: 2016-05-01 12:00
Category: Python
Tags: Data Visualization
Authors: Chris Albon
In [1]:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
In [2]:
n = 100
r = 2 * np.random.rand(n)
theta = 2 * np.pi * np.random.rand(n)
area = 200 * r**2 * np.random.rand(n)
colors = theta
Full list of colormaps: http://wiki.scipy.org/Cookbook/Matplotlib/Show_colormaps
In [3]:
c = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.RdYlGn)
In [4]:
c1 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.Blues)
In [5]:
c2 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.BrBG)
In [6]:
c3 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.Greens)
In [7]:
c4 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.RdGy)
In [8]:
c5 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.YlOrRd)
In [9]:
c6 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.autumn)
In [10]:
c7 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.binary)
In [11]:
c8 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.gist_earth)
In [12]:
c9 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.gist_heat)
In [13]:
c10 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.hot)
In [14]:
c11 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.spring)
In [15]:
c12 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.summer)
In [16]:
c12 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.winter)
In [17]:
c13 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.bone)
In [18]:
c14 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.cool)
In [19]:
c15 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.YlGn)
In [20]:
c16 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.RdBu)
In [21]:
c17 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.PuOr)
In [22]:
c18 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.Oranges)