Python 畫長條圖

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標籤:sub   python   code   limits   patch   show   ide   otto   its   

一個官方的例子,做長條圖,用了path patch的方法。貌似處理比較大的資料用的,後續再對比下另一個方法,暫記

 

import numpy as npimport matplotlib.pyplot as pltimport matplotlib.patches as patchesimport matplotlib.path as pathfig, ax = plt.subplots()# Fixing random state for reproducibilitynp.random.seed(19680801)# histogram our data with numpydata = np.random.randn(1000)n, bins = np.histogram(data, 50)# get the corners of the rectangles for the histogramleft = np.array(bins[:-1])right = np.array(bins[1:])bottom = np.zeros(len(left))top = bottom + n# we need a (numrects x numsides x 2) numpy array for the path helper# function to build a compound pathXY = np.array([[left, left, right, right], [bottom, top, top, bottom]]).T# get the Path objectbarpath = path.Path.make_compound_path_from_polys(XY)# make a patch out of itpatch = patches.PathPatch(barpath)ax.add_patch(patch)# update the view limitsax.set_xlim(left[0], right[-1])ax.set_ylim(bottom.min(), top.max())plt.show()

 

Python 畫長條圖

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