如何仅使用 Python pandas 将符合条件的行写入 excel 工作表

Question

I have a data frame which contains 3 columns(Issue id, Creator, Versions).I need to extract the row which does not contain the value "<JIRA Version" in the "versions" column(Which is the third and fifth row in my case.Similarly there could be multiple rows in the data frame)

Below is the code i'm trying, but this is actually printing all the rows from the data frame. Any help/suggestions are appreciated.

allissues = []
for i in issues:
    d = {
    'Issue id': i.id,
    'creator' : i.fields.creator,
    'resolution': i.fields.resolution,
    'status.name': i.fields.status.name,
    'versions': i.fields.versions,

            }
allissues.append(d)
df = pd.DataFrame(allissues, columns=['Issue id', 'creator', 'versions'])
matchers = ['<JIRA Version']

for ind in df.values:
     if matchers not in df.values:
         print(df['versions'][ind], df['Issue id'][ind])

Answer 1

some minor changes in your code:

allissues = []
for i in issues:
    d = {
    'Issue id': i.id,
    'creator' : i.fields.creator,
    'resolution': i.fields.resolution,
    'status.name': i.fields.status.name,
    'versions': i.fields.versions,

            }
allissues.append(d)
df = pd.DataFrame(allissues, columns=['Issue id', 'creator', 'versions'])
matchers = '<JIRA Version'

for ind,row in df.iterrows():
     if matchers not in row.versions:
         print(row['versions'], row['Issue id'])