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Fix dtype inference and session cookie handling #1237
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@@ -545,7 +545,7 @@ def build_dataframe_from_csv(raw_csv, sep='~', shaped: bool = False, | |||
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# make sure all element names are strings and values column is derived from data | |||
if 'dtype' not in kwargs: | |||
kwargs['dtype'] = {'Value': None, **{col: str for col in range(999)}} | |||
kwargs['dtype'] = {'Value': str, **{col: str for col in range(999)}} |
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We don't want the value column to be str
in all cases, do we?
If we set it to None
instead, it will be derived depending on the data at hand
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Actually, that was the issue I was running into — setting 'Value': None causes pandas to infer the dtype, and in some cases like "2025" (which is an attribute value for an element and should be a string), it gets coerced to 2025.0 if other rows are missing values or inconsistent.
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I understand. But we can't enforce str as the column type for the value column. Most retrieved cube data will be numeric!
In the edge cases where you load data from attribute cubes it would be easier to pass dtype=str
to the execute_mdx_dataframe
function.
for cookie in self._s.cookies: | ||
if cookie.name == 'TM1SessionId': | ||
session_id = cookie.value | ||
# break # Use the first match |
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Maybe this is an obsolete comment or did you want to break after the first match?
str
inpd.read_csv
to avoid misinterpreting values like '2025' as floats.