官术网_书友最值得收藏!

Lookup by label using the [] operator and the .ix[] property

An implicit label lookup is performed using the [] operator. This operator normally looks up values based upon the given index labels.

Let's start by using the following Series:

A single value can be looked up using just the index label of the desired item:

Multiple items can be retrieved at once using a list of index labels:

We can also look up values using integers that represent positions:

This works purely because the index is not using integer labels. If integers are passed to [], and the index has integer values, then the lookup is performed by matching the values passed in to the values of the integer labels.

This can be demonstrated using the following Series:

The following looks up values at labels 13 and 10, not positions 13 and 10:

Lookup using the [] operator is identical to using the .ix[] property. However, .ix[] has been deprecated since pandas version 0.20.1. The reason for the deprecation is the confusion caused by integers being passed to the operators and the difference in operation depending on the type of the label in the index.

The ramifications of this is that neither [] or .ix[] should be used for lookup. Instead, use the .loc[] and .iloc[] properties, which explicitly look up by label or position only.

主站蜘蛛池模板: 新乡县| 昔阳县| 邹城市| 航空| 承德县| 定安县| 长沙市| 竹溪县| 巴里| 新昌县| 甘肃省| 德阳市| 金华市| 临猗县| 北海市| 武乡县| 蓬溪县| 湖州市| 深州市| 商都县| 呼玛县| 长海县| 故城县| 马尔康县| 潞西市| 高密市| 新邵县| 会东县| 方城县| 龙陵县| 闸北区| 阳谷县| 怀柔区| 嘉鱼县| 婺源县| 远安县| 鄄城县| 济宁市| 古田县| 凤凰县| 达州市|