我有一个csv文件，其中包含一些带有美元符号的单元格（例如<html>
<head>
<title>Betting Simulator Test!</title>
</head>
<body>
<br/>
<p id="p1">You have 500$</p>
<br/>
<form name="CoinFlip" action="" onsubmit="Create()" method="post">
Coins: <input type="text" name="Csubmit">
<input type="submit" value="Flip the Coin">
</form>
<script type="text/javascript">
Balance = 500;
function Game() {
if(Balance >= 1) {
var Coin = confirm("You have put " + sub + "$ in the CoinFlip!");
if(Coin == true) {
var flip = true
if(flip == true) {
alert("You won " + sub + "$");
Balance = Balance + sub*2 - sub;
Update = document.getElementById("p1").textContent="You have " + Balance + "$";
} else {
alert("You lost " + sub + "$");
Balance = Balance - sub;
Update = document.getElementById("p1").textContent="You have " + Balance + "$";
}
} else {
}
} else {
alert("You ran out of Money");
}
}
function Create() {
sub = document.forms["CoinFlip"]["Csubmit"].value;
if(sub <= Balance && sub > 0) {
Game();
} else {
alert("value does not make any sense!");
}
}
</script>
</body>
）。我强制函数$46.5中的所有类型都为numpy.float64。它抱怨pandas.read_csv()。有没有办法干净利落地处理这个问题？
答案 0 :(得分：4)
您可以为相关列添加转换器：
pd.DataFrame({'col1': ['$46.51', '$38.00', 40],
'col2': [1, 2, 3]}).to_csv('test_df.csv', index=False)
>>> pd.read_csv('test_df.csv', converters={'col1': lambda s: float(s.replace('$', ''))})
col1 col2
0 46.51 1
1 38.00 2
2 40.00 3