CODEWITHSUNDEEP
pythonpandasdataframe
Dagdoba
Dagdoba

Reputation: 33

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

Expected output 

GradeColText GradeColNum

BVCS         105308.248

Upvotes: 1

Views: 1292

Answers (2)

cs95
cs95

Reputation: 403128

You can use 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

Upvotes: 1

BENY
BENY

Reputation: 323376

Try this ? 

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

Upvotes: 1

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