bonjour merci d’avance pour votre aide je suis bloque sur ce code`import pandas as pd
import numpy as np
import os
import sys
import tensorflow as tf
from matplotlib import pyplot as plt
from matplotlib.ticker import StrMethodFormatter
from natsort import natsorted
from scipy import stats
from tensorflow.python.framework import ops
%matplotlib inline
training_set = pd.read_csv(‹ /Users/user/Downloads/Earthquakes/Earthquakes_TRAIN.csv ›)
test_validation_set = pd.read_csv(‹ /Users/user/Downloads/Earthquakes/Earthquakes_TEST.csv ›)
training_set.iloc[:,0].unique()l'erreur est a cette cellulesubset0 = training_set.loc[training_set.iloc[:,0] == 0, 1:].describe().T
subset1 = training_set.loc[training_set.iloc[:,0] == 1, 1:].describe().T
print(subset0.loc[:,‹ min ›].mean())
print(subset1.loc[:,‹ min ›].mean())elle produit1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
TypeError Traceback (most recent call last)
Cell In[11], line 1
----> 1 subset0 = training_set.loc[training_set.iloc[:,0] == 0, 1:].describe().T
2 subset1 = training_set.loc[training_set.iloc[:,0] == 1, 1:].describe().T
3 print(subset0.loc[:,‹ min ›].mean())
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:1147, in _LocationIndexer.getitem(self, key)
1145 if self._is_scalar_access(key):
1146 return self.obj._get_value(*key, takeable=self._takeable)
→ 1147 return self._getitem_tuple(key)
1148 else:
1149 # we by definition only have the 0th axis
1150 axis = self.axis or 0
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:1339, in _LocIndexer._getitem_tuple(self, tup)
1336 if self._multi_take_opportunity(tup):
1337 return self._multi_take(tup)
→ 1339 return self._getitem_tuple_same_dim(tup)
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:994, in _LocationIndexer._getitem_tuple_same_dim(self, tup)
991 if com.is_null_slice(key):
992 continue
→ 994 retval = getattr(retval, self.name)._getitem_axis(key, axis=i)
995 # We should never have retval.ndim < self.ndim, as that should
996 # be handled by the _getitem_lowerdim call above.
997 assert retval.ndim == self.ndim
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:1373, in _LocIndexer._getitem_axis(self, key, axis)
1371 if isinstance(key, slice):
1372 self._validate_key(key, axis)
→ 1373 return self._get_slice_axis(key, axis=axis)
1374 elif com.is_bool_indexer(key):
1375 return self._getbool_axis(key, axis=axis)
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexing.py:1405, in _LocIndexer._get_slice_axis(self, slice_obj, axis)
1402 return obj.copy(deep=False)
1404 labels = obj._get_axis(axis)
→ 1405 indexer = labels.slice_indexer(slice_obj.start, slice_obj.stop, slice_obj.step)
1407 if isinstance(indexer, slice):
1408 return self.obj._slice(indexer, axis=axis)
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexes/base.py:6602, in Index.slice_indexer(self, start, end, step)
6558 def slice_indexer(
6559 self,
6560 start: Hashable | None = None,
6561 end: Hashable | None = None,
6562 step: int | None = None,
6563 ) → slice:
6564 « »"
6565 Compute the slice indexer for input labels and step.
6566
(…)
6600 slice(1, 3, None)
6601 « »"
→ 6602 start_slice, end_slice = self.slice_locs(start, end, step=step)
6604 # return a slice
6605 if not is_scalar(start_slice):
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexes/base.py:6819, in Index.slice_locs(self, start, end, step)
6817 start_slice = None
6818 if start is not None:
→ 6819 start_slice = self.get_slice_bound(start, « left »)
6820 if start_slice is None:
6821 start_slice = 0
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexes/base.py:6734, in Index.get_slice_bound(self, label, side)
6730 original_label = label
6732 # For datetime indices label may be a string that has to be converted
6733 # to datetime boundary according to its resolution.
→ 6734 label = self._maybe_cast_slice_bound(label, side)
6736 # we need to look up the label
6737 try:
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexes/base.py:6667, in Index._maybe_cast_slice_bound(self, label, side)
6665 # reject them, if index does not contain label
6666 if (is_float(label) or is_integer(label)) and label not in self:
→ 6667 self._raise_invalid_indexer(« slice », label)
6669 return label
File /opt/anaconda3/lib/python3.11/site-packages/pandas/core/indexes/base.py:4306, in Index._raise_invalid_indexer(self, form, key, reraise)
4304 if reraise is not lib.no_default:
4305 raise TypeError(msg) from reraise
→ 4306 raise TypeError(msg)
TypeError: cannot do slice indexing on Index with these indexers [1] of type int`
les données se trouvent ici
[https://www.timeseriesclassification…et=Earthquakes]