#Python scatter plot with colors code#

Python Scatterplot: Changing color based on both X and Y values. Why not using a loop to plot the data leads to incorrect color of some points? Python scatter plot different colors depending on value. Plt.scatter(x,y,c=col,s=5, linewidth=0)īefore that, I tried creating the same color list in the same way, but plotting the data without the loop: #scatter plotĮven though this plots the data much, much faster than using the for loop, some of the scattered points appear with a wrong color. I tried creating a list of the same length as the data with the color I want to assign to each point and then plot the data with a loop, but it takes me a long time to run it. I want to make a scatter plot of them giving each point a different color depending on these conditions: -BLACK if x=10 and y=10 and y>-0.5 Plt.I have two numpy arrays, x and y, with 7000 elements each.

Optionally one can include argument to both the linestyle and marker parameters. To specify the markerstyle you can include this as a positional argument in the method call, as seen in the example below. To plot a scatter in 3D, use the plot method, as the legend does not support Patch3DCollection as is returned by the scatter method of an Axes3D instance. Ho = plt.scatter(random(10), random(10), marker='x', color=colors) Hh = plt.scatter(random(10), random(10), marker='o', color=colors) H = plt.scatter(random(10), random(10), marker='o', color=colors) L = plt.scatter(random(10), random(10), marker='o', color=colors)Ī = plt.scatter(random(10), random(10), marker='o', color=colors) Ll = plt.scatter(random(10), random(10), marker='o', color=colors) Lo = plt.scatter(random(10), random(10), marker='x', color=colors)

#Python scatter plot with colors code#

In the code below I've used random values rather than plotting the same range over and over, making all the plots visible (i.e. Also, if you are using scatter plots, use scatterpoints=1 rather than numpoints=1 in the legend call to have only one point for each legend entry. Using the scatter method of the matplotlib.pyplot module should work (at least with matplotlib 1.2.1 with Python 2.7.5), as in the example code below. When I run this, the legend no longer exists, it is a small white box in the corner with nothing in it. Plt.legend((lo,ll,l,a, h, hh, ho),('Low Outlier', 'LoLo','Lo', 'Average', 'Hi', 'HiHi', 'High Outlier'),scatterpoints=1, loc='lower left', ncol=3, fontsize=8) Ho = plt.scatter(xHOutlier, yHOutlier, zHOutlier, marker='x', color=colors) Hh = plt.scatter(xHiHi, yHiHi, zHiHi, marker='o',color=colors) H = plt.scatter(xHi, yHi, zHi, marker='o',color=colors) L = plt.scatter(xLo, yLo, zLo, marker='o',color=colors)Ī = plt.scatter(xAverage, yAverage, zAverage, marker='o',color=colors) Ll = plt.scatter(xLoLo, yLoLo, zLoLo, marker='o', color=colors) lo = plt.scatter(xLOutlier, yLOutlier, zLOutlier, marker='x', color=colors) Each list contains either the x, y, or z variable. With scatter, I changed the range(10) to the lists containing the data points. Scatter returned an error and scatter changed the graph and returned an error. I tried changing Line2D to Scatter and scatter. Plt.legend((lo,ll,l,a, h, hh, ho),('Low Outlier', 'LoLo','Lo', 'Average', 'Hi', 'HiHi', 'High Outlier'),numpoints=1, loc='lower left', ncol=3, fontsize=8) When I create the legend, the legend shows the correct symbol and color but adds a line through it. There is a reference page of colormaps showing what each looks like. I created a 4D scatter plot graph to represent different temperatures in a specific area. import matplotlib.cm as cm plt.scatter (x, y, ct, cmapcm.cmapname) Importing matplotlib.cm is optional as you can call colormaps as cmap'cmapname' just as well.