Adding line to scatter plot using python's matplotlib -


i using python's matplotlib , want create matplotlib.scatter() additional line. line should proceed lower left corner upper right corner independent of scatters content. linear regression through data, in this post, not looking for. should dynamically , independent of scatter input.

this should final plot:

enter image description here

edit:

doing got me result:

# scatter plot x = data_calc_hourly.temp y =  data_obs_hourly.temp  linestart = data_calc_hourly.temp.min()  lineend = data_calc_hourly.temp.max()    plt.figure() plt.scatter(x, y, color = 'k', alpha=0.5) plt.plot([linestart, lineend], [linestart, lineend], 'k-', color = 'r') plt.xlim(linestart, lineend) plt.ylim(linestart, lineend) plt.show()

is there better way ?

this draws diagonal line independent of scatter plot data , stays rooted axes if resize window:

import numpy np import matplotlib.pyplot plt import matplotlib.lines mlines import matplotlib.transforms mtransforms  x, y = np.random.random((2, 100))*2 fig, ax = plt.subplots() ax.scatter(x, y, c='black') line = mlines.line2d([0, 1], [0, 1], color='red') transform = ax.transaxes line.set_transform(transform) ax.add_line(line) plt.show()

enter image description here


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