Python使用matplotlib绘制数据去重前后的柱状图对比图（在同一个图中显示去重操作之后同一数据集的变化情况）

#仿真数据

import pandas as pdimport numpy as npimport numpy as npimport pandas as pdimport matplotlib%matplotlib inlineimport plotly as pyfrom plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplotinit_notebook_mode(connected=True)# import cufflinks as cf# cf.go_offline()import matplotlib.pyplot as pltimport seaborn as snsdata_count = {基础信息:[37804,37344],xx信息:[106172,61520],}duplicat_viz = pd.DataFrame(data_count)duplicat_viz

#数据去重前后的柱状图对比图

fig = plt.figure(figsize=(5, 8))ax = fig.add_subplot(111)N = 2ind = np.arange(N) # the x locations for the groupswidth = 0.3 # the width of the barsrects1 = ax.bar(ind, duplicat_viz[xx信息], width, color= oyalblue)rects2 = ax.bar(ind+width, duplicat_vi

Python使用matplotlib绘制数据去重前后的柱状图对比图（在同一个图中显示去重操作之后同一数据集的变化情况）