【发布时间】：2016-07-15 02:28:20
【问题描述】：
我有数据框
used_at common users pair of websites
0 2014 1364 avito.ru and e1.ru
1 2014 1716 avito.ru and drom.ru
2 2014 1602 avito.ru and auto.ru
3 2014 299 avito.ru and avtomarket.ru
4 2014 579 avito.ru and am.ru
5 2014 602 avito.ru and irr.ru/cars
6 2014 424 avito.ru and cars.mail.ru/sale
7 2014 634 e1.ru and drom.ru
8 2014 475 e1.ru and auto.ru
9 2014 139 e1.ru and avtomarket.ru
10 2014 224 e1.ru and am.ru
11 2014 235 e1.ru and irr.ru/cars
12 2014 154 e1.ru and cars.mail.ru/sale
13 2014 874 drom.ru and auto.ru
14 2014 247 drom.ru and avtomarket.ru
15 2014 394 drom.ru and am.ru
....
当我写graph_by_common_users = common_users.pivot(index='pair of websites', columns='used_at', values='common users')
我明白了
used_at 2014 2015
pair of websites
am.ru and cars.mail.ru/sale 166.0 NaN
am.ru and irr.ru/cars 223.0 NaN
auto.ru and am.ru 408.0 224.0
auto.ru and avtomarket.ru 243.0 162.0
auto.ru and cars.mail.ru/sale 330.0 195.0
auto.ru and drom.ru NaN 799.0
auto.ru and irr.ru/cars 409.0 288.0
avito.ru and am.ru 579.0 262.0
....
我有NaN，因为有些顺序不同。例如
我有2014 我有am.ru and cars.mail.ru/sale 但2015 我有cars.mail.ru/sale and am.ru。我该如何改变呢？
添加我的代码
import pandas as pd
import itertools
import matplotlib.pyplot as plt
df = pd.read_csv("avito_trend.csv", parse_dates=[2])
def f(df):
dfs = []
for x in [list(x) for x in itertools.combinations(df['address'].unique(), 2)]:
c1 = df.loc[df['address'].isin([x[0]]), 'ID']
c2 = df.loc[df['address'].isin([x[1]]), 'ID']
c = pd.Series(list(set(c1).intersection(set(c2))))
dfs.append(pd.DataFrame({'common users':len(c), 'pair of websites':' and '.join(x)}, index=[0]))
return pd.concat(dfs)
common_users = df.groupby([df['used_at'].dt.year]).apply(f).reset_index(drop=True, level=1).reset_index()
print common_users
graph_by_common_users = common_users.pivot(index='pair of websites', columns='used_at', values='common users')
print graph_by_common_users
【问题讨论】：
-
请说明您在旋转而不是 NaN 后想要什么？
-
我有
am.ru and cars.mail.ru/sale到2014和cars.mail.ru/sale and am.ru到2015。当我尝试打印图形rects = ax.patches labels = [int(round(graph_by_common_users.loc[i, y])) for y in graph_by_common_users.columns.tolist() for i in graph_by_common_users.index] for rect, label in zip(rects, labels): height = rect.get_height() ax.text(rect.get_x() + rect.get_width()/2, height + 5, label, ha='center', va='bottom')时出现错误，因为我有NaN。所以我想反转一些字符串，例如am.ru and cars.mail.ru/sale到2014和2015 -
我的解释清楚了吗？