scatter-plot

I have some data let say x , y , and z . All are 1D arrays. I have done a scatter plot with z as color as; import matplotlib.pyplot as plt plt.scatter(x,y,c=z,alpha = 0.2) plt.xlabel("X") plt.ylabel("Y") plt.ylim((1.2,1.5)) plt.colorbar() The z values are normalized and its between -1 to 1 . I have attached the figure below. The question I have is; How can I filter the colors such that let say the points that have a color value between -0.25 to 0.25 disappear form the figure (i.e set the color to white). The values for x , y , and z can be provided if needed to answer this question. Thank you

I am trying to read in data from csv file and want to visualise this data with a scatterChart in NVD3. I would have linked to a JSfiddle or something similar but I don't know how to include a csv file in these online JavaScript IDEs. Is that possible? The csv file has the following format: country,y,x Algeria,91.8,15.7 Bahrain,98.2,49.3 Jordan,99.1,55.0 Kuwait,98.6,57.4 Lebanon,98.7,58.6 My best guess for the code to read the csv file with is: var scatterdata = [ { key : "Group1", values : []//{x:"",y:""} } ]; d3.csv("literacyScatterCountrynames.csv", function (error, csv) { if (error) return

I have a daily annual energy consumption data set for a one year period. I would like to show a scatter graph of this data set separated into the four clusters which I expect exist (due to the differences of the four seasons) I understand that matlab cluster function can do this but my statistics is very rusty and I was hoping to get some guidance into which function is the best to use Thanks Consider the following example of hierarchical clustering applied to the Fisher Iris dataset (150 instances, each point is 4-dimensional): %# load dataset load fisheriris %# Construct agglomerative

In gnuplot I can do this to get a square plot: set size square What is the equivalent in matplotlib? I have tried this: import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt plt.rcParams['backend'] = 'TkAgg' x = [0, 0.2, 0.4, 0.6, 0.8] y = [0, 0.5, 1, 1.5, 2.0] colors = ['k']*len(x) plt.scatter(x, y, c=colors, alpha=0.5) plt.axes().set_aspect('equal', adjustable='datalim') plt.xlim((0,2)) plt.ylim((0,2)) plt.grid(b=True, which='major', color='k', linestyle='--') plt.savefig('{}.png'.format(rsID), dpi=600) plt.close() plt.clf() I get a square grid, but the plot itself is not

I am trying to plot a large dataset with a scatter plot. I want to use matplotlib to plot it with single pixel marker. It seems to have been solved. https://github.com/matplotlib/matplotlib/pull/695 But I cannot find a mention of how to get a single pixel marker. My simplified dataset (data.csv) Length,Time 78154393,139.324091 84016477,229.159305 84626159,219.727537 102021548,225.222662 106399706,221.022827 107945741,206.760239 109741689,200.153263 126270147,220.102802 207813132,181.67058 610704756,50.59529 623110004,50.533158 653383018,52.993885 659376270,53.536834 680682368,55.97628