Python combat two: Draw a line chart with data markers using CSV data (matplotlib)

Background:
Automatically obtain bug trend statistics in the defect management system and save to CSV, read the CSV data and draw a line chart with data markers, and save it as a PNG picture

The following code only implements the "read CSV data and draw a line chart with data markers, and save as a PNG picture" feature

#导入需要的模块
import NumPy as NP
import Matplotlib.pyplot as Plt
import Matplotlib.mlab as Mlab
import Matplotlib.ticker as Ticker

#读取CSV数据为numpy record array records
r = Mlab.csv2rec (' d:/python/pj4/data/bug_trend.csv ')
R.sort ()

#形成Y轴坐标数组
N = Len (r)
ind = Np.arange (n)  # The evenly spaced plot indices
#ind1这里是为了把图撑大一点
ind1 = NP. Arange (n+3)

#将X轴格式化为日期形式, the X axis defaults to 0.5 stepping,
#这里将整数X轴坐标格式化为日期,. 5 's not corresponding date,
#因为扩展了3格坐标, so the n+ coordinate point does not show date
def format_date (x, Pos=none):
    if not x%1  and x<n:
        thisind = np.clip (int (x), 0, N-1) return
        R.create_date[thisind]. Strftime ('%y-%m-%d ')
    else: return
        '

#绘图
fig = plt.figure ()
ax = Fig.add_subplot
#下行为了将图扩大一点, hidden by white line shows
ax.plot (Ind1,ind1, '-', color= "White")
#正常要显示的bug总数折线
Ax.plot (Ind, r[' all '], ' o ', label= ' all of BUGs ')
#正常要显示的bug已解决总数折线
Ax.plot (Ind, r[' resolved '], ' o ', label= ' resolved BUGs ')
#正常要显示的bug已关闭总数折线
Ax.plot (Ind, r[' closed '], ' o ', label= ' closed BUGs ')
#图标的标题
ax.set_title (u) BUG Trend Chart ")
#线型示意说明
ax.legend (loc= ' upper left ')

#在折线图上标记数据,-+0.1 is to stagger the point of displaying data
datadotxy= Tuple (Zip (ind-0.1,r[' all "]+0.1))
for Dotxy in Datadotxy:
    ax.annotate (str (int (dotxy[1]-0.1)), Xy=dotxy)

#将X轴格式化为日期形式    
ax.xaxis.set_major_formatter (ticker. Funcformatter (format_date))
fig.autofmt_xdate () 

#显示图片
plt.show ()

#将图片保存到指定目录
Plt.savefig ("D:/python/pj4/img/bug_trend.png")

Effect Chart:

CSV file format diagram: