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）

Posted 2021-10-20 Data+Science+Insight

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 pd
import numpy as np
import numpy as np
import pandas as pd
import matplotlib
%matplotlib inline


import plotly as py
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)
# import cufflinks as cf
# cf.go_offline()

import matplotlib.pyplot as plt
import seaborn as sns




data_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 = 2
ind = np.arange(N)  # the x locations for the groups
width = 0.3       # the width of the bars

rects1 = ax.bar(ind, duplicat_viz[\'xx信息\'], width, color=\'royalblue\')

rects2 = ax.bar(ind+width, duplicat_vi