[英]Split a column into multiple columns in Pandas
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)
while splitting row into columns getting error ValueError: Columns must be same length as key 将行拆分为列时出现错误ValueError:列的长度必须与键的长度相同
Expected output 预期产量
GradeColText GradeColNum
BVCS 105308.248
Try this ? 尝试这个 ?
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
You can use df.str.rsplit(expand=True)
: 您可以使用df.str.rsplit(expand=True)
:
In [429]: df[['GradeColText', 'GradeColNum']] = df['GradeCol'].str.rsplit(',', expand=True)
In [432]: df.drop(['GradeCol'], axis=1, inplace=True); df
Out[432]:
GradeColText GradeColNum
0 BVCS 105308.248
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