使用熊猫数据框读取字符串

Question

I have a variable string as below. I need to convert it to a dataframe and read as csv file for further processing. Please let me know how it can be achieved ?

A,B,C,D,E,F
1,1305,21:44,0,34.34,
2,1304,21:43,0,31.43,
3,1303,21:42,0,,

I tried below code and I got ValueError: DataFrame constructor not properly called! error. Can some one please help ?

parsed_data = pd.read_csv(io.StringIO(pd.DataFrame(string, columns=settings.COLUMNS).to_csv(index=False)))

Answer 1

This should work.

import pandas as pd
import io

zz = """A,B,C,D,E,F
1,1305,21:44,0,34.34,
2,1304,21:43,0,31.43,
3,1303,21:42,0,,
"""

# Assuming the first column is the index,
# the first row of data contains column names
df = pd.read_table(io.StringIO(zz), index_col=0, sep=',')
df.head()

#       B      C  D      E   F
# A                           
# 1  1305  21:44  0  34.34 NaN
# 2  1304  21:43  0  31.43 NaN
# 3  1303  21:42  0    NaN NaN