如何读取python pandas中包含字典的.csv文件？

Question

I have a dataframe like:

A,B
{"a":["b","c"]},{"d":["e","f"]}

when I run this code:

df = pd.read_csv("mycsv.csv")
print(df['A'])

to print df['A'] which must be {"a":["b","c"]} it returns this strange thing:

{"a":["b"  c]}    {"d":["e"

How should I read df['A'] like {"a":["b", "c"]} ?

Answer 1

This happends because you have commas inside your dicts. Csv reader treats commas as separators that's why it splits second line into 4 parts:

1. {"a":["b"     
2. "c"]}     
3. {"d":["e"     
4. "f"]}

You can do one of the following:

1. Use different separator, like semicolon:

A;B
{"a":["b","c"]};{"d":["e","f"]}

df = pd.read_csv("mycsv.csv", sep=';')

2. Or explicitly mark your dictionary as strings:

A,B
'{"a":["b","c"]}','{"d":["e","f"]}'

df = pd.read_csv("mycsv.csv", quotechar="'")