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Released pandas.
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.vscode/settings.json

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{
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"python.linting.enabled": true
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datacommons_pandas/CHANGELOG.md

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## 0.0.1
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**Date** - 08/24/2020
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**Date** - 08/25/2020
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**Release Tag** - [pd.0.0.1](https://github.com/datacommonsorg/api-python/releases/tag/pd0.0.1)
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- `build_time_series` constructs a pd.Series for a given StatisticalVariable and Place, where the time series are indexed by date.
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- `build_time_series_dataframe` constructs a pd.DataFrame for a given StatisticalVariable and a set of Places. The DataFrame will have Places as the index and dates as the columns.
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- `build_covariate_dataframe` constructs a covariate pd.DataFrame for a set of StatisticalVariables and a set of Places. The DataFrame will have Places as index and StatisticalVariables as the columns. The values are the most recent values for the chosen StatVarObservation options.
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- `build_multivariate_dataframe` constructs a pd.DataFrame for a set of StatisticalVariables and a set of Places. The DataFrame will have Places as index and StatisticalVariables as the columns. The values are the most recent values for the chosen StatVarObservation options.
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For multi-place functions, when a StatisticalVariable has multiple StatVarObservation options,
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Data Commons chooses a set of StatVarObservation options that covers the most geos. This
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Data Commons chooses a set of StatVarObservation options that covers the most places. This
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ensures that the data fetched for a StatisticalVariable is comparable across places.
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When there is a tie, we select the StatVarObservation options set with the latest date
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data is available for any place.

datacommons_pandas/__init__.py

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# Copyright 2017 Google Inc.
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# Copyright 2020 Google Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.

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