将一个数据框添加到另一个

Question

我想将三个数据框合并为一个。所有数据框都有一列。

org_city_id=p.DataFrame(training_data['origcity_id'])
pol_city_id=p.DataFrame(training_data['pol_city_id'])
pod_city_id=p.DataFrame(training_data['pod_city_id'])

所有内容都有100条记录，所以我的目标是将它们放入一个数据框中，然后包含300条记录。我的下面的代码不能正常工作

org_city_id.append([pol_city_id,pod_city_id])

org_city_id中的记录总数仍为100。

有人可以建议。

Answer 1

dfs = [org_city_id, pol_city_id, pod_city_id]
pd.concat([df.squeeze() for df in dfs], ignore_index=True)

Answer 2

获取所有数据框的单个列名称：

org_city_id.columns = pol_city_id.columns = pod_city_id.columns = 'Final Name'

然后结识他们：

pd.concat([org_city_id,pol_city_id,pod_city_id])

Answer 3

您可以使用Pandas文档中的concat。

以下是您要做的事情：

pd.concat([org_city_id, pol_city_id, pod_city_id])