英文:
Pandas from_dict Returns TypeError
问题
我有一个像下面这样的字典：
testProps = {"Key1":[],
"Key2":False,
"Key3":True,
"Key4":[],
"Key5":False}
我想将它转换为一个 Pandas DataFrame，使用以下代码：
newTestProps = pd.DataFrame.from_dict(testProps, orient="index")
但它抛出了以下错误：
TypeError: object of type 'bool' has no len()
然而，它应该创建一个如下所示的 DataFrame：
这很奇怪，因为我在我的程序中已经有这两行代码很长时间了，直到现在才抛出这个错误。是否可能是 Pandas 存在 bug？
英文:
I have a dictionary like the following:
testProps = {"Key1":[],
"Key2":False,
"Key3":True,
"Key4":[],
"Key5":False}
I want to convert it to a Pandas DataFrame with
newTestProps = pd.DataFrame.from_dict(testProps,orient="index")
but it is throwing me the following error.
TypeError: object of type 'bool' has no len()
When it should be creating a DataFrame like the following:
Which is bizarre because I've had these two lines of code in my program for a long time and it hasn't thrown this error until now. Is it possible that there's a bug with Pandas?
答案1
得分: 3
创建数据框可以使用以下示例代码：
testProps = {"Key1": [], "Key2": False, "Key3": True, "Key4": [], "Key5": False}
df = pd.DataFrame({'索引': testProps.keys(), 0: testProps.values()})
print(df)
打印结果：
索引 0
0 Key1 []
1 Key2 False
2 Key3 True
3 Key4 []
4 Key5 False
请注意，我已经将 HTML 编码的引号替换为标准引号以使代码更易于阅读。
英文:
To create the dataframe you can use next example:
testProps = {"Key1": [], "Key2": False, "Key3": True, "Key4": [], "Key5": False}
df = pd.DataFrame({'Index': testProps.keys(), 0: testProps.values()})
print(df)
Prints:
Index 0
0 Key1 []
1 Key2 False
2 Key3 True
3 Key4 []
4 Key5 False
答案2
得分: 1
我希望这会对你有所帮助
newTestProps = pd.DataFrame(list(zip(testProps.keys(), testProps.values())), columns=['index', 0])
print(newTestProps)
index 0
0 Key1 []
1 Key2 False
2 Key3 True
3 Key4 []
4 Key5 False
英文:
I hope this will help you
newTestProps = pd.DataFrame(list(zip(testProps.keys(), testProps.values())), columns=['index', 0])
print(newTestProps)
index 0
0 Key1 []
1 Key2 False
2 Key3 True
3 Key4 []
4 Key5 False
答案3
得分: 1
以下是您要的中文翻译部分：
import pandas as pd
testProps = {"Key1": [], "Key2": False, "Key3": True, "Key4": [], "Key5": False}
df = pd.DataFrame(data=testProps.items(), columns=['索引', '0'])
print(df)
英文:
one of ways you can do it as ,
import pandas as pd
testProps = {"Key1": [], "Key2": False, "Key3": True, "Key4": [], "Key5": False}
df = pd.DataFrame(data=testProps.items(), columns=['index','0'])
print(df)
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