Question

data={'GradeCol':['BVCS,105308.248']}

data1=DataFrame(data)
print(data1)
data1[['GradeColText','GradeColNum']] = pd.DataFrame([x for x in 
data1.GradeCol])

#data1[['GradeColText','GradeColNum']] = 
#pd.DataFrame(data1.GradeCol.values.tolist())
print(data1)

将行拆分为列错误 ValueError：列的长度必须与键

相同

预期输出

GradeColText GradeColNum

BVCS         105308.248

Answer 1

试试这个？

data={'GradeCol':['BVCS,105308.248']}
df=pd.DataFrame(data)
df = pd.DataFrame(df.GradeCol.str.split(',', 1).tolist(),
                  columns=['GradeColText', 'GradeColNum'])

  GradeColText GradeColNum
0         BVCS  105308.248

Answer 2

您可以使用df.str.rsplit(expand=True)：

<script src="https://cdnjs.cloudflare.com/ajax/libs/vue/2.4.1/vue.min.js"></script>
<div id="app">
  <tile v-for="word, i in words" v-bind="word" :key="word"></tile>
</div>

<script id="tile" type="x-template">
  <button :title="english">
    <div class="pinyin">{{ pinyin }}</div>
    <div class="eng" @mouseover="showAll = true" @mouseout="showAll = false">
      <div v-if="showAll">{{ english }}</div>
      <div v-else>{{ english | truncate }}</div>
    </div>
  </button>
</script>

在Pandas中将列拆分为多个列

2 个答案: