File size: 1,933 Bytes
fc0f7bd | 1 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 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import numpy as np
import pandas as pd
def ensure_list(X):
assert X is not None
if isinstance(X, list):
return X
elif isinstance(X, np.ndarray):
return X.tolist()
elif isinstance(X, pd.Series):
return X.tolist()
elif isinstance(X, pd.DataFrame):
return X.tolist()
raise ValueError("Failed to convert to list")
def ensure_ndarray(X):
assert X is not None
if isinstance(X, list):
return np.asarray(X)
elif isinstance(X, np.ndarray):
return X
elif isinstance(X, pd.Series):
return np.asarray(X)
elif isinstance(X, pd.DataFrame):
return np.asarray(X)
raise ValueError("Failed to convert to ndarray")
def ensure_ndarray_2d(X):
assert X is not None
tmp = ensure_ndarray(X)
if len(tmp.shape) != 1:
raise ValueError("Requires 1d array")
result = np.expand_dims(tmp, 1)
assert len(result.shape) == 2
return result
def ensure_series(X):
assert X is not None
if isinstance(X, list):
return pd.Series(X)
elif isinstance(X, np.ndarray):
return pd.Series(X)
elif isinstance(X, pd.Series):
return X
elif isinstance(X, pd.DataFrame):
return pd.Series(X)
raise ValueError("Failed to convert to Series")
def ensure_dataframe(X):
assert X is not None
if isinstance(X, list):
return pd.DataFrame(X)
elif isinstance(X, np.ndarray):
return pd.DataFrame(X)
elif isinstance(X, pd.Series):
return pd.DataFrame(X)
elif isinstance(X, pd.DataFrame):
return X
raise ValueError("Failed to convert to Series")
conversions_for_1d = [ensure_list,
ensure_ndarray,
ensure_ndarray_2d,
ensure_series,
ensure_dataframe]
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