python - Pandas read_csv - rows with variable number of columns -

i have csv file has rows variable number of columns (and no column headers). e.g. file begin rows 23 columns , rows 83 columns etc. when read_csv() starts reading file guesses number of columns after first few rows read (i think) if data rows in beginning shorter @ end exception below. there way pass parameter function set number of columns max value? or there better way this?

thanks.

cparsererror: error tokenizing data. c error: expected 23 fields in line 150, saw 83

# coding: utf-8  # in[16]:  def params(text):     pairs = text.split("|")     print pairs     out = {i.split("=")[0]:i.split("=")[1] in pairs}     return pd.series(out)   params("asd=2|qwe=5")   # in[27]:   import pandas pd aa = pd.dataframe({'id':[1,2],'text':["asd=2|qwe=5","asd=20|qwe=5|qzxc=5"]}) aa    # in[29]:  aa['text'].apply(params)   # in[30]:  pd.concat([aa,aa['text'].apply(params)],1)