不支持的操作數類型（S） - ：「海峽」和「浮動」建設條形圖

Question

時以前，我是問到get week numbers on multiple year that is ready for plotting，並根據jezrael的答案，我這樣做：

sheet2['device_create_week'] = sheet2['device_create_at'].dt.strftime('%Y-%V') 
sheet2.groupby(['device_create_week']).size().reset_index(na‌​me='device created count weekly') 

然後，我移動到繪圖

import matplotlib.pyplot as plt 
from matplotlib import rcParams 
rcParams['figure.figsize'] = (10, 6) 
rcParams['figure.dpi'] = 150 
fig = plt.figure() 
plt.bar(pre['user_create_week'],pre['user created count weekly'], align='center', alpha=0.5) 
plt.xlabel('week') 
plt.ylabel('frequency') 
plt.show() 
fig.savefig('test.jpg') 

然後我看到一個錯誤：

TypeError: unsupported operand type(s) for -: 'str' and 'float'

那我該怎麼辦？我有預期的解決方案，可以繪製頻率爲每週的條形圖。

如果你想要的數據去嘗試，這是我的數據，你可以嘗試：

136  2014-08-27 10:19:46 
245  2014-09-25 09:13:22 
257  2014-09-29 15:22:16 
258  2014-09-29 15:22:16 
480  2015-02-02 10:01:25 
481  2015-02-02 10:01:25 
482  2015-02-02 10:01:25 
483  2015-02-02 10:01:25 
484  2015-02-02 10:01:25 
485  2015-02-02 10:01:25 
486  2015-02-02 10:01:25 
487  2015-02-02 10:01:25 
488  2015-02-02 10:01:25 
536  2015-02-09 08:00:29 
589  2015-02-02 10:01:25 
590  2015-02-02 10:01:25 
591  2015-02-02 10:01:25 
592  2015-02-02 10:01:25 
593  2015-02-02 10:01:25 
594  2015-02-02 10:01:25 
595  2015-02-02 10:01:25 
596  2015-02-02 10:01:25 
597  2015-02-02 10:01:25 
694  2015-02-27 16:02:23 
1573 2015-04-20 16:44:20 
1574 2015-04-20 16:44:20 
1779 2015-04-27 03:06:09 
2119 2015-05-07 06:32:38 
2120 2015-05-07 06:32:38 
2306 2015-05-13 03:29:19 
89876 2017-10-04 06:20:09 
89933 2017-10-06 11:04:38 
89943 2017-10-06 12:12:58 
89947 2017-10-06 12:50:30 
89952 2017-05-22 12:47:37 
89957 2017-10-06 14:37:23 
89958 2017-10-06 14:38:43 
89984 2017-10-06 18:41:46 
90022 2017-10-07 01:19:39 
90053 2017-10-07 01:48:46 
90117 2017-10-03 05:36:33 
90122 2017-10-07 06:52:07 
90129 2017-08-21 14:59:27 
90145 2017-10-07 11:04:50 
90157 2017-10-07 11:51:09 
90164 2017-10-07 12:08:38 
90202 2017-10-08 01:01:45 
90216 2017-10-08 03:12:07 
90222 2017-10-08 04:41:01 
90228 2017-10-08 05:27:24 
90238 2017-10-08 06:22:46 
90250 2017-10-08 07:10:12 
90266 2017-10-08 09:01:40 
90276 2017-10-08 10:15:59 
90291 2017-10-08 11:47:35 
90294 2017-10-08 11:50:42 
90298 2017-08-29 04:21:27 
90313 2017-10-08 16:01:15 
90363 2016-11-26 13:00:18 

Answer 1

我想你可以改用：

plt.bar(pre['user_create_week'],pre['user created count weekly'], align='center', alpha=0.5) 

DataFrame.plot.bar：

ax = pre.plot.bar(x='device_create_week', 
        y='device created count weekly', 
        align='center', 
        alpha=0.5) 

也爲保存爲圖片需要：

fig = ax.get_figure() 
fig.savefig('test.jpg') 

如果需要追加所有可能的組合year S + week的需要reindex：

import matplotlib.pyplot as plt 
from matplotlib import rcParams 

rcParams['figure.figsize'] = (10, 6) 
rcParams['figure.dpi'] = 150 
fig = plt.figure() 

sheet2['device_create_at'] = pd.to_datetime(sheet2['device_create_at']) 
sheet2['device_create_week'] = sheet2['device_create_at'].dt.strftime('%Y-%V') 
pre = sheet2.groupby(['device_create_week']).size() 

a = sorted(['{}-{:02d}'.format(x, y) for y in range(1, 54) for x in range(2014, 2017)]) 
print (a[:10]) 
['2014-01', '2014-02', '2014-03', '2014-04', '2014-05', '2014-06', 
'2014-07', '2014-08', '2014-09', '2014-10'] 

pre = pre.reindex(a, fill_value=0) 
print (pre.head()) 

ax = pre.plot.bar(align='center', alpha=0.5, width=1.0) 

plt.xlabel('week') 
plt.ylabel('frequency') 
plt.show() 

fig = ax.get_figure() 
fig.savefig('test.jpg') 

可以省略axis x一些值：

spacing = 10 
visible = ax.xaxis.get_ticklabels()[::spacing] 
for label in ax.xaxis.get_ticklabels(): 
    if label not in visible: 
     label.set_visible(False) 

plt.show() 

Answer 2

這裏是根據您的一部開拓創新的代碼我的答案： 使用plt.xticks()使str工種

Xweek_str=data1.device_create_week.tolist() 
x = range(len(Xweek_str)) 

rcParams['figure.figsize'] = (10, 6) 
rcParams['figure.dpi'] = 150 
fig = plt.figure() 
plt.bar(x,data1.device_created_count_weekly, align='center', alpha=0.5) 
plt.xticks(x, Xweek_str) 
plt.xlabel('week') 
plt.ylabel('frequency') 
plt.show() 

所以，你的情況，你只需要添加：

Xweek_str=data1.device_create_week.tolist() 
x = range(len(Xweek_str)) 

And plot是這樣的：

plt.bar(x,data1['device created count weekly'], align='center', alpha=0.5) 
plt.xticks(x, Xweek_str)