.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_lines_bars_and_markers_scatter_demo2.py: ============= Scatter Demo2 ============= Demo of scatter plot with varying marker colors and sizes. .. image:: /gallery/lines_bars_and_markers/images/sphx_glr_scatter_demo2_001.png :class: sphx-glr-single-img .. code-block:: python import numpy as np import matplotlib.pyplot as plt import matplotlib.cbook as cbook # Load a numpy record array from yahoo csv data with fields date, open, close, # volume, adj_close from the mpl-data/example directory. The record array # stores the date as an np.datetime64 with a day unit ('D') in the date column. with cbook.get_sample_data('goog.npz') as datafile: price_data = np.load(datafile)['price_data'].view(np.recarray) price_data = price_data[-250:] # get the most recent 250 trading days delta1 = np.diff(price_data.adj_close) / price_data.adj_close[:-1] # Marker size in units of points^2 volume = (15 * price_data.volume[:-2] / price_data.volume[0])**2 close = 0.003 * price_data.close[:-2] / 0.003 * price_data.open[:-2] fig, ax = plt.subplots() ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.5) ax.set_xlabel(r'$\Delta_i$', fontsize=15) ax.set_ylabel(r'$\Delta_{i+1}$', fontsize=15) ax.set_title('Volume and percent change') ax.grid(True) fig.tight_layout() plt.show() .. _sphx_glr_download_gallery_lines_bars_and_markers_scatter_demo2.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: scatter_demo2.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: scatter_demo2.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_