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<p>我的CSV文件的格式如下：</p>
<pre><code>sidebars,notes,riskOthers,seriousEvents,goodCatches,harms
,SAFE; 2 moveouts; 0 discharges; ED patient awaiting bed in MAT,0,0,0,0
,Staffing,0,0,0,0
,,1,0,0,0
,,0,0,0,0
,,0,0,0,0
,Staffing needs,0,0,0,0
,Safe,1,0,0,0
,1- 1-1/ Staffing @ 3p- 7a,0,0,0,0
SB- Central Stores,,2,0,0,0
SB - ED Dr. G,,0,0,0,0
,,0,0,0,0
,1 pt in restraints,0,0,0,0
,1 Pt in Restraints,0,0,0,0
SB- Pharmacy,@ Risk - Staffing/ Security with Pt who had drug paraphernalia/ 1-1-1,1,0,0,0
</code></pre>
<p>我想选择最后四列中大于1的值并用1替换它们。这是我尝试过但失败的代码</p>
<pre><code>data = pd.read_csv('reordered.csv')
df = pd.DataFrame(data, columns = ['sidebars','notes','riskOthers','seriousEvents', 'goodCatches', 'harms'])
# Values to find and their replacements
findL = ['3', '2', '4', '5', '6']
replaceL = ['1', '1', '1', '1', '1']
# Select column (can be A,B,C,D)
col = 'riskOthers';
# Find and replace values in the selected column
df[col] = df[col].replace(findL, replaceL)
</code></pre>
<p>在这里，在这段代码中，我试图将所有大于1的值替换为1。但是我得到了类型不匹配错误</p>
