In [2]:
import pandas as pd
pd.set_option('display.mpl_style', 'default') # matplotlib.pyplot.style.use
In [7]:
broken_df = pd.read_csv('../data/test.csv')
broken_df
Out[7]:
Date
Unnamed: 1
Berri1
Maisonneuve_1
Maisonneuve_2
Brbeuf
0
01/01/2009
00:00
29
20
35
NaN
1
02/01/2009
00:00
19
3
22
NaN
2
03/01/2009
00:00
24
12
22
NaN
3
04/01/2009
00:00
24
8
15
NaN
4
05/01/2009
00:00
120
111
141
NaN
5
06/01/2009
00:00
261
146
236
NaN
6
07/01/2009
00:00
60
33
80
NaN
7
08/01/2009
00:00
24
14
14
NaN
8
09/01/2009
00:00
35
20
32
NaN
9
10/01/2009
00:00
81
45
79
NaN
10
11/01/2009
00:00
318
160
306
NaN
11
12/01/2009
00:00
105
99
170
NaN
12
13/01/2009
00:00
168
94
172
NaN
13
14/01/2009
00:00
145
87
175
NaN
14
15/01/2009
00:00
131
90
172
NaN
15
16/01/2009
00:00
93
49
97
NaN
16
17/01/2009
00:00
25
13
20
NaN
17
18/01/2009
00:00
52
22
55
NaN
18
19/01/2009
00:00
136
127
202
NaN
19
20/01/2009
00:00
147
85
176
NaN
20
21/01/2009
00:00
109
63
137
NaN
21
22/01/2009
00:00
172
125
205
NaN
22
23/01/2009
00:00
148
81
153
NaN
23
24/01/2009
00:00
15
1
10
NaN
24
25/01/2009
00:00
35
14
28
NaN
25
26/01/2009
00:00
93
85
136
NaN
26
27/01/2009
00:00
209
119
221
NaN
27
28/01/2009
00:00
92
52
113
NaN
28
29/01/2009
00:00
110
80
117
NaN
29
30/01/2009
00:00
105
60
106
NaN
...
...
...
...
...
...
...
335
02/12/2009
00:00
1377
711
1867
0.0
336
03/12/2009
00:00
606
367
921
0.0
337
04/12/2009
00:00
1108
595
1472
0.0
338
05/12/2009
00:00
594
301
746
0.0
339
06/12/2009
00:00
501
276
679
0.0
340
07/12/2009
00:00
669
358
1039
0.0
341
08/12/2009
00:00
570
318
807
0.0
342
09/12/2009
00:00
185
64
274
0.0
343
10/12/2009
00:00
219
110
363
0.0
344
11/12/2009
00:00
194
77
378
0.0
345
12/12/2009
00:00
106
84
210
0.0
346
13/12/2009
00:00
130
49
113
0.0
347
14/12/2009
00:00
271
123
433
0.0
348
15/12/2009
00:00
308
143
395
0.0
349
16/12/2009
00:00
296
155
350
0.0
350
17/12/2009
00:00
239
118
304
0.0
351
18/12/2009
00:00
214
119
373
0.0
352
19/12/2009
00:00
133
73
162
0.0
353
20/12/2009
00:00
135
62
125
0.0
354
21/12/2009
00:00
239
125
383
0.0
355
22/12/2009
00:00
207
107
353
0.0
356
23/12/2009
00:00
158
84
204
0.0
357
24/12/2009
00:00
74
59
129
0.0
358
25/12/2009
00:00
34
21
36
0.0
359
26/12/2009
00:00
40
21
59
0.0
360
27/12/2009
00:00
66
29
52
0.0
361
28/12/2009
00:00
61
41
99
0.0
362
29/12/2009
00:00
89
52
115
0.0
363
30/12/2009
00:00
76
43
115
0.0
364
31/12/2009
00:00
53
46
112
0.0
365 rows × 6 columns
In [ ]:
In [10]:
broken_df['Berri1'].plot() # plot easier
Out[10]:
<matplotlib.axes._subplots.AxesSubplot at 0x110fff0d0>
In [ ]:
Content source: spulido99/Programacion
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