Python Pandas CParserError错误标记数据

Question

I am trying to use pandas to read a .csv file

df = pd.read_csv('ChildCareCenters06252017.csv')

and then I get this error

CParserError: Error tokenizing data. C error: Expected 31 fields in line 3, saw 42

I have read the pandas docs and I have gone through other stack posts similar to this but no solutions have worked.

I am going to this link https://secure.dss.ca.gov/CareFacilitySearch/DownloadData and then clicking child care centers and then saving that data and trying to read.

This is what the .csv looks like in TextEdit. Header and the first couple school entries.

Answer 1

I downloaded the .csv , saved it as a .xlsx file, and then used read_excel() instead, which worked:

import pandas as pd

path = "C:\\Users\\nickb\\Desktop\\CCC.xlsx"  # update accordingly

df = pd.read_excel(path)

---

print df.head()

     Facility Type  Facility Number  \
0  DAY CARE CENTER        197416900   
1  DAY CARE CENTER        191607790   
2  DAY CARE CENTER        197416698   
3  DAY CARE CENTER        304370894   
4  DAY CARE CENTER        384001195  
...