列表元素与数据框描述何时发生? [英] Listing elements vs dataframe description When happens when?
问题描述
这可能非常简单,但我不知道出了什么问题. 我在列出DataFrame的元素时遇到麻烦.有时列出了DataFrame的元素,有时只是对数据列的数量和类型的描述. 我知道行数是一个因素,但是即使只有几行,我也只能得到描述. 例如: 如果我有一个名为"allpledges"的DataFrame,它会给我一个描述
This is likely very simple but I can't figure out what's wrong. I am having trouble listing elements of a DataFrame. Sometimes the elements of a DataFrame are listed and sometimes it's simply a description of the number and types of the data columns. I know that the number of rows is a factor but even when I have only a few rows, I only get the description back. For example: If I have a DataFrame called 'allpledges', it gives me a description
In [5]:
allpledges
Out[5]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 305384 entries, 0 to 305383
Data columns:
Pledge# 305384 non-null values
Source 305384 non-null values
Date 305384 non-null values
Break 305384 non-null values
Progcode 237002 non-null values
这是可以理解的,因为要显示的行太多. 但是当我尝试查看一些内容时,它仍然带给我相同的东西
Which is understandable because it's too many rows to display. But when I try to view a few, it still gives me the same thing
In [13]:
allpledges[:5]
Out[13]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 0 to 4
Data columns:
Pledge# 5 non-null values
Source 5 non-null values
Date 5 non-null values
Break 5 non-null values
Progcode 0 non-null values
当我想要的是列出的前五行.我已经在教程中看到了这一点,但是在这里找不到我做错了什么.
When what I wanted was the top five rows listed out. I have seen this done in tutorials, but can't figure out what I am doing wrong here.
推荐答案
These settings are controlled in the options
(I suspect you're looking for max_rows
or max_columns
, but there are many options seen in the set_options
docstring):
In [11]: pd.options.display.max_columns
Out[11]: 20
并使用set_option
进行更改:
In [12]: pd.set_option('display.max_columns', 10)
如果DataFrame 任一的列数或行数多于这些设置,则将其缩写.
If the DataFrame either has more columns or more rows than these settings it will abbreviate.
例如:
In [17]: df = pd.DataFrame(pd.np.arange(10).reshape(5,2))
In [18]: pd.set_option('display.max_rows', 4)
In [19]: df
Out[19]:
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 0 to 4
Data columns:
0 5 non-null values
1 5 non-null values
dtypes: int64(2
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