[英]Writing list of lists into an existing csv file using pandas
I want to add values from a list pair1
to a new column with the corresponding name.我想将列表
pair1
中的值添加到具有相应名称的新列中。
pair1 = [['ab','bc','cd'],['cd','de','ef'],['sa','hg','gh','de']]
I am using pandas
to add a new column to the csv file but inserting a whole list into a single cell is throwing error.我正在使用
pandas
向 csv 文件添加新列,但将整个列表插入单个单元格会引发错误。 If I use zip(pr1), it is inserting the index position of the zip file.如果我使用 zip(pr1),它将插入 zip 文件的索引 position。
csv_source_1 = pd.read_csv('D:\\Python
Automation\\Rough\\Source_1.csv',error_bad_lines=False)
pair1 = [['ab','bc','cd'],['cd','de','ef'],['sa','hg','gh','de']]
for pr1 in pair1:
csv_source_1['pair1'] = pr1
csv_source_1.to_csv('D:\\Python Automation\\Rough\\Source_1.csv')
I am looking for below as output:
eid ename pairs
1 james 'ab','bc','cd'
2 thomas 'cd','de','ef'
The error I receive is:我收到的错误是:
ValueError: Length of values does not match length of index
Replace the for loop with below用下面的替换 for 循环
pair1 = [['ab','bc','cd'],['cd','de','ef'],['sa','hg','gh','de']]
csv_source_1['pair1'] = pd.Series(pair1)
csv_source_1['pair1'] = csv_source_1['pair1'].map(lambda x: ",".join(x))
csv_source_1.to_csv('D:\\Python Automation\\Rough\\Source_1.csv')
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