36 lines
1.4 KiB
Python
36 lines
1.4 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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""" Superset utilities for pandas.DataFrame.
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"""
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from typing import Any, Dict, List
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import pandas as pd
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from superset.utils.core import JS_MAX_INTEGER
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def df_to_records(dframe: pd.DataFrame) -> List[Dict[str, Any]]:
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data: List[Dict[str, Any]] = dframe.to_dict(orient="records")
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# TODO: refactor this
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for row in data:
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for key, value in list(row.items()):
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# if an int is too big for JavaScript to handle
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# convert it to a string
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if isinstance(value, int) and abs(value) > JS_MAX_INTEGER:
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row[key] = str(value)
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return data
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