PROSAGA码农传奇-模型可视化-在不同日期绘制分类结果？

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    不幸的是，我不知道如何使用不同的标记绘制一组数据，因此您必须分别绘制所有数据。
  
  
    您可以使用matplotlib绘制数据。我不确定您的数据如何，但对于包含以下内容的文件：
  
   <pre>
 <code>
 2017-01,2017-02,2017-03,2017-04
2,3,2,2
2,0,2,0
1,0,2,2
3,2,2,2
2,2,3,2

</code>
 </pre>
  
    您可以使用以下代码来获取所需的图：
  
   <pre>
 <code>
 import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots()

df = pd.read_csv('dataframe.txt', parse_dates = True)
dates = list(df.columns.values) #get dates
number_of_dates = len(dates)
markers = ["o", "d", "^", "s"] #set marker shape
colors = ["g", "r", "m", "y"] #set marker color

# loop over the data in your dataframe
for i in range(df.shape[0]):
     # get a row of 1s, 2s, ... as you want your
     # data S1, S2, in one line on top of each other
    dataY = (i+1)*np.ones(number_of_dates)

# get the data that will specify which marker to use
    data = df.loc[i]

# plot dashed line first, setting it underneath markers with zorder
    plt.plot(dates, dataY, c="k", linewidth=1, dashes=[6, 2], zorder=1)

# loop over each data point x is the date, y a constant number,
    # and data specifies which marker to use
    for _x, _y, _data in zip(dates, dataY, data):
        plt.scatter(_x, _y, marker=markers[_data], c=colors[_data], s=100, edgecolors="k", linewidths=0.5, zorder=2)

# label your ticks S1, S2, ...
ticklist = list(range(1,df.shape[0]+1))
l2 = [("S%s" % x) for x in ticklist]
ax.set_yticks(ticklist)
ax.set_yticklabels(l2)

labels = ["TP","TN","FP","FN"]
legend_elements = []
for l,c, m in zip(labels, colors, markers):
    legend_elements.append(Line2D([0], [0], marker=m, color="w", label=l, markerfacecolor=c, markeredgecolor = "k", markersize=10))

ax.legend(handles=legend_elements, loc='upper right')

plt.show()

</code>
 </pre>
  
    从中汲取灵感
    <a href="https://stackoverflow.com/a/26490966/10944175">
      这个答案
    </A>
    。
  
  
    这会产生如下情节：

<a href="https://i.stack.imgur.com/YlKmR.png" rel="nofollow noreferrer">
      <img src =“https://i.stack.imgur.com/YlKmR.png”alt =“动态情节标记”/>
    </A>
  
  
    的
      编辑
    </强>
     添加了标记的虚线和轮廓，看起来更像是有问题的示例。
  
  
    的
      EDIT2
    </强>
     添加了图例。
  
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