Python 附加到 Pandas 中的空数据帧？
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Appending to an empty DataFrame in Pandas?
提问by ericmjl
Is it possible to append to an empty data frame that doesn't contain any indices or columns?
是否可以附加到不包含任何索引或列的空数据框？
I have tried to do this, but keep getting an empty dataframe at the end.
我试过这样做，但最后总是得到一个空的数据框。
e.g.
例如
df = pd.DataFrame()
data = ['some kind of data here' --> I have checked the type already, and it is a dataframe]
df.append(data)
The result looks like this:
结果如下所示：
Empty DataFrame
Columns: []
Index: []
采纳答案by DSM
That should work:
那应该工作：
>>> df = pd.DataFrame()
>>> data = pd.DataFrame({"A": range(3)})
>>> df.append(data)
A
0 0
1 1
2 2
But the appenddoesn't happen in-place, so you'll have to store the output if you want it:
但是，在append没有就地发生，所以你必须要存储输出，如果你想它：
>>> df
Empty DataFrame
Columns: []
Index: []
>>> df = df.append(data)
>>> df
A
0 0
1 1
2 2
回答by dval
And if you want to add a row, you can use a dictionary:
如果你想添加一行，你可以使用字典：
df = pd.DataFrame()
df = df.append({'name': 'Zed', 'age': 9, 'height': 2}, ignore_index=True)
which gives you:
这给了你：
age height name
0 9 2 Zed
回答by Deepish
You can concat the data in this way:
您可以通过以下方式连接数据：
InfoDF = pd.DataFrame()
tempDF = pd.DataFrame(rows,columns=['id','min_date'])
InfoDF = pd.concat([InfoDF,tempDF])
