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replacing the deprecated append method with the concat method in pandas

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Антон Скалкин 2024-08-14 12:08:26 +04:00
parent eac7a83265
commit 4b348ad818
2 changed files with 5 additions and 5 deletions
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4
pyFTS/models/multivariate/cmvfts.py
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@ -146,7 +146,7 @@ class ClusteredMVFTS(mvfts.MVFTS):
new_data_point[self.target_variable.data_label] = tmp.expected_value()
sample = pd.concat([sample, new_data_point], ignore_index=True)
sample = pd.concat([sample, pd.DataFrame([new_data_point])], ignore_index=True)
return ret[-steps:]
@ -199,7 +199,7 @@ class ClusteredMVFTS(mvfts.MVFTS):
for k in np.arange(0, steps):
sample = ret.iloc[k:self.order+k]
tmp = self.forecast_multivariate(sample, **kwargs)
ret = pd.concat([ret, tmp], ignore_index=True)
ret = pd.concat([ret, pd.DataFrame([tmp])], ignore_index=True)
return ret

6
pyFTS/models/multivariate/mvfts.py
View File

@ -211,7 +211,7 @@ class MVFTS(fts.FTS):
new_data_point[self.target_variable.data_label] = tmp
ndata = pd.concat([ndata, new_data_point], ignore_index=True)
ndata = pd.concat([ndata, pd.DataFrame([new_data_point])], ignore_index=True)
return ret[-steps:]
@ -307,8 +307,8 @@ class MVFTS(fts.FTS):
new_data_point_lo[self.target_variable.data_label] = min(tmp_lo)
new_data_point_up[self.target_variable.data_label] = max(tmp_up)
lo = pd.concat([lo, new_data_point_lo], ignore_index=True)
up = pd.concat([up, new_data_point_up], ignore_index=True)
lo = pd.concat([lo, pd.DataFrame([new_data_point_lo])], ignore_index=True)
up = pd.concat([up, pd.DataFrame([new_data_point_up])], ignore_index=True)
return ret[-steps:]