如何在文件名中打开带撇号的文件。我目前正在使用
<div onClick="window.open('file'sname.jpg);">
Wont open
</div>
完全没有成功。
我已经针对我发现的各种问题尝试了所有不同的建议,但没有任何效果,
逃到\'
,%27
,'
,'
我甚至尝试过Uri.EscapeDataString()
答案 0 :(得分:1)
中期帖子我设法弄清楚了,并没有在任何地方提到过,所以我决定发布Q&amp; A
Double Escape可以解决问题。
inp = u"""a0:86:c6:52:4e:e8,0.006568,0.006620,Out
a0:86:c6:52:4e:e8,0.006663,0.006695,In
a0:86:c6:52:4e:e8,0.008089,0.008141,Out
a0:86:c6:52:4e:e8,0.008185,0.008217,In
01:00:5e:00:00:fb,0.033096,0.035016,Out
33:33:00:00:00:fb,0.034997,0.037077,Out
01:00:5e:7f:ff:fa,0.039969,0.042057,Out
ff:ff:ff:ff:ff:ff,0.059823,0.061639,Out
a0:86:c6:52:4e:e8,0.068865,0.068917,Out
a0:86:c6:52:4e:e8,0.068962,0.068994,In
a0:86:c6:52:4e:e8,0.083492,0.083544,Out
a0:86:c6:52:4e:e8,0.083588,0.083620,In"""
import pandas as pd
import io
import matplotlib.pyplot as plt
df = pd.read_csv(io.StringIO(inp), header=None, names=["Task", "Start", "Finish", "Resource"] )
df["Diff"] = df.Finish - df.Start
color = {"In":"turquoise", "Out":"crimson"}
fig,ax=plt.subplots(figsize=(6,3))
labels=[]
for i, task in enumerate(df.groupby("Task")):
labels.append(task[0])
for r in task[1].groupby("Resource"):
data = r[1][["Start", "Diff"]]
ax.broken_barh(data.values, (i-0.4,0.8), color=color[r[0]] )
ax.set_yticks(range(len(labels)))
ax.set_yticklabels(labels)
ax.set_xlabel("time [ms]")
plt.tight_layout()
plt.show()
我在我的C#代码中将其转义,因此在检查时HTML的最终结果是:
\\'