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limit type to 32

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This commit is contained in:
Stefano Ariestasia 2023-01-09 10:44:48 +09:00
parent 8095a260b7
commit b2791836a4
1 changed files with 8 additions and 8 deletions
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16
freqtrade/data/converter.py
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@ -136,18 +136,18 @@ def reduce_mem_usage(pair: str, df: DataFrame) -> DataFrame:
c_min = df[col].min()
c_max = df[col].max()
if str(col_type)[:3] == "int":
if c_min > np.iinfo(np.int8).min and c_max < np.iinfo(np.int8).max:
df[col] = df[col].astype(np.int8)
elif c_min > np.iinfo(np.int16).min and c_max < np.iinfo(np.int16).max:
df[col] = df[col].astype(np.int16)
elif c_min > np.iinfo(np.int32).min and c_max < np.iinfo(np.int32).max:
# if c_min > np.iinfo(np.int8).min and c_max < np.iinfo(np.int8).max:
# df[col] = df[col].astype(np.int8)
# elif c_min > np.iinfo(np.int16).min and c_max < np.iinfo(np.int16).max:
# df[col] = df[col].astype(np.int16)
if c_min > np.iinfo(np.int32).min and c_max < np.iinfo(np.int32).max:
df[col] = df[col].astype(np.int32)
elif c_min > np.iinfo(np.int64).min and c_max < np.iinfo(np.int64).max:
df[col] = df[col].astype(np.int64)
elif str(col_type)[:5] == "float":
if c_min > np.finfo(np.float16).min and c_max < np.finfo(np.float16).max:
df[col] = df[col].astype(np.float16)
elif c_min > np.finfo(np.float32).min and c_max < np.finfo(np.float32).max:
# if c_min > np.finfo(np.float16).min and c_max < np.finfo(np.float16).max:
# df[col] = df[col].astype(np.float16)
if c_min > np.finfo(np.float32).min and c_max < np.finfo(np.float32).max:
df[col] = df[col].astype(np.float32)
else:
df[col] = df[col].astype(np.float64)