Python。从 data.frame 获取结构
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/36482559/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
Python. Get structure from a data.frame
提问by Jose
In r, with the str()function you can see structure from an object like this:
在r 中，使用该str()函数，您可以从这样的对象中查看结构：
> str(mari)
'data.frame': 25834 obs. of 6 variables:
$ Xcoor: num 0.0457 0.0469 0.0481 0.0495 0.0519 ...
$ Ycoor: num 0.107 0.107 0.107 0.108 0.108 ...
$ Zcoor: num -0.701 -0.701 -0.701 -0.703 -0.703 ...
$ RC : int 120 124 124 125 124 122 120 120 120 120 ...
$ GC : int 121 117 117 117 118 119 120 120 120 120 ...
$ BC : int 127 135 144 135 126 127 125 125 124 137 ...
Is there a similar function like this one?
有没有类似的功能？
采纳答案by MaxNoe
If you are looking for an equivalent of Rs data.frame, you will want to look into pandas.
如果您正在寻找Rs的等效项data.frame，您将需要查看pandas.
The pandas.DataFramemight be what you are looking for.
这pandas.DataFrame可能是您正在寻找的。
The get an idea of what is in a DataFrameyou could use the .describeor .headmethods.
了解DataFrame您可以使用.describe或.head方法的内容。
import pandas as pd
data = pd.DataFrame({
'a': [1, 2, 3, 4, 5],
'b': [1, 2, 3, 4, 5]
})
print(data.head())
print(data.describe())
print(data.columns)
Or, which might be a little to verbose, just:
或者，这可能有点冗长，只是：
print(data)
回答by Alex B
I realize this is an old question, but wanted to provide clarification for anyone else that comes across this question in the future like I did.
我意识到这是一个老问题，但想为将来像我一样遇到这个问题的其他人提供澄清。
As MaxNoe said, pandasis what is needed and the pandas.DataFrame.infomethod is the equivalent to the str()function in R.
正如 MaxNoe 所说，pandas这就是所需要的，该pandas.DataFrame.info方法相当于str()R 中的函数。
Using the same example as MaxNoe:
使用与 MaxNoe 相同的示例：
>>> import pandas as pd
>>> data = pd.DataFrame({
'a': [1, 2, 3, 4, 5],
'b': [1, 2, 3, 4, 5]
})
>>> data.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 5 entries, 0 to 4
Data columns (total 2 columns):
a 5 non-null int64
b 5 non-null int64
dtypes: int64(2)
memory usage: 160.0 bytes
The documentation can be found here https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.info.html.
文档可以在这里找到https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.info.html。
回答by vasanth komati
The functions below may help you find the data types of a DF.
下面的函数可以帮助您找到 DF 的数据类型。
DF.info
DF.dtypes
OP:
ltv float64
branch_id int64
supplier_id int64
manufacturer_id int64
Current_pincode_ID int64
Date.of.Birth object
