如果我有1,2 ......... 1000个员工姓名和id但我希望我的输出像2,3,4，......... 1000,1。谁是第一个emp名称，应放在最后..在这种情况下，我已经使用了联合所有的概念它是有效的。但没有使用联合所有概念 怎么可能？
答案 0 :(得分：1)
使用条件from collections import defaultdict
import matplotlib.pyplot as plt
import matplotlib.dates as dates
from itertools import groupby
from datetime import datetime
import csv
data = defaultdict(list)
with open('input2.txt', 'rb') as f_input:
csv_input = csv.reader(f_input, delimiter=' ', skipinitialspace=True)
header = next(csv_input)
for row in csv_input:
row.append(datetime.strptime(row[1], '%Y-%m-%d'))
row.append(dates.date2num(row[4]))
data[row[0]].append(row)
bbox = dict(facecolor='blue', alpha=0.1, pad=1.0)
for rows in data.values():
fig = plt.figure(figsize=(10, 2))
ax = fig.add_subplot(111)
# Get date range
d = sorted(row[5] for row in rows)
ax.set_xlim(d[0]-10, d[-1]+10)
ax.set_ylim(0, 0.8)
for k, g in groupby(sorted(rows), lambda x: x[4]):
rows = list(g)
text = '{}\n\n{}'.format(k.day, '\n'.join([row[2] for row in rows]))
ax.scatter(rows[0][5], 0.1, s=5, c='black')
ax.text(row[5], 0.15, text, ha="center", va="bottom", fontsize=7.0, bbox=bbox)
fig.suptitle(row[0])
fig.subplots_adjust(bottom=0.2) # Add space at bottom
ax.xaxis.set_major_locator(dates.MonthLocator())
#ax.xaxis.set_minor_locator(dates.DayLocator())
ax.xaxis.set_major_formatter(dates.DateFormatter('%Y\n%m'))
ax.yaxis.set_ticks([])
plt.show()
子句：
ORDER BY