使用 pandas 从 python 中的 url 读取 csv 时出现“错误标记数据”

Question

I am trying to read in a csv from a url ( csv link ) then isolate the ticker symbols (AMLP, ARKF, ARKG, ARKK, etc.), but I am running into a problem just reading in the csv.

The exact error is: "pandas.errors.ParserError: Error tokenizing data. C error: Expected 8 fields in line 3, saw 12".

My code is as follows:

import pandas as pd
df = pd.read_csv("https://www.cboe.com/available_weeklys/get_csv_download/")
print(df)

Answer 1

Try with:

df = pd.read_csv("https://www.cboe.com/available_weeklys/get_csv_download/", error_bad_lines=False)

If you just want to start from line 16 in the file (where AMLP is), use:

df = pd.read_csv("https://www.cboe.com/available_weeklys/get_csv_download/", skiprows=15, header=None)
>>> df
        0                                   1
0    AMLP             ALPS ETF TR ALERIAN MLP
1    ARKF           ARK ETF TR FINTECH INNOVA
2    ARKG          ARK ETF TR GENOMIC REV ETF
3    ARKK           ARK ETF TR INNOVATION ETF
4    ASHR         DBX ETF TR XTRACK HRVST CSI
..    ...                                 ...
610    YY           JOYY INC ADS REPSTG COM A
611     Z       ZILLOW GROUP INC CL C CAP STK
612    ZM  ZOOM VIDEO COMMUNICATIONS INC CL A
613  ZNGA                      ZYNGA INC CL A
614    ZS                     ZSCALER INC COM