-
-
Notifications
You must be signed in to change notification settings - Fork 3
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Joseph Hamman
committed
Aug 18, 2020
1 parent
b86fd6e
commit 021156a
Showing
5 changed files
with
233 additions
and
39 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,9 +1,16 @@ | ||
| sources: | ||
|
|
||
| raw_table: | ||
| description: CarbonPlan Reports Data | ||
| driver: csv | ||
| args: | ||
| urlpath: 'https://api.carbonplan.org/projects.csv' | ||
| description: Global Carbon Budget 2019 raw data in parquet format | ||
| metadata: | ||
| origin_url: 'https://api.carbonplan.org/docs' | ||
| url: https://www.globalcarbonproject.org/carbonbudget/19/data.htm | ||
| tags: [carbon cycle] | ||
| parameters: | ||
| name: | ||
| description: name of GCB dataset | ||
| type: str | ||
| default: global_carbon_budget | ||
| allowed: [global_carbon_budget, fossil_emissions_by_fuel_type, land_use_change_emissions, ocean_sink, terrestrial_sfink, historical_budget, consumption_emissions, territorial_emissions, transfer_emissions] | ||
| driver: parquet | ||
| args: | ||
| urlpath: gs://carbonplan-data/raw/gcp/{{ name }}.parquet |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -15,4 +15,5 @@ rasterio | |
| requests | ||
| wget | ||
| xarray | ||
| xlrd | ||
| zarr | ||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,166 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "<img width=\"50\" src=\"https://carbonplan-assets.s3.amazonaws.com/monogram/dark-small.png\" style=\"margin-left:0px;margin-top:20px\"/>\n", | ||
| "\n", | ||
| "# Global Carbon Project to Parquet\n", | ||
| "\n", | ||
| "_by Joe Hamman (CarbonPlan), August 17, 2020_\n", | ||
| "\n", | ||
| "This notebook converts faw Excel files from the Global Carbon Project to Parquet\n", | ||
| "format and stages them in a Google Cloud Storage bucket.\n", | ||
| "\n", | ||
| "**Inputs:**\n", | ||
| "\n", | ||
| "- `gcp` directory\n", | ||
| "\n", | ||
| "**Outputs:**\n", | ||
| "\n", | ||
| "- One Parquet dataset per Excel sheet:\n", | ||
| " `gs://carbonplan-data/raw/gcp/<name>.parquet`\n", | ||
| "\n", | ||
| "**Notes:**\n", | ||
| "\n", | ||
| "- No reprojection or processing of the data is done in this notebook.\n" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import dask.dataframe as dd\n", | ||
| "import gcsfs\n", | ||
| "import pandas as pd" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# run `gcloud auth login` on the command line, or try switching token to `browser`\n", | ||
| "fs = gcsfs.GCSFileSystem(\n", | ||
| " project=\"carbonplan\",\n", | ||
| " token=\"/Users/jhamman/.config/gcloud/legacy_credentials/[email protected]/adc.json\",\n", | ||
| ")\n", | ||
| "\n", | ||
| "storage_options = {\"token\": fs.session.credentials, \"project\": \"carbonplan\"}\n", | ||
| "\n", | ||
| "\n", | ||
| "def process(fname, target, **open_kwargs):\n", | ||
| " df = pd.read_excel(fname, **open_kwargs)\n", | ||
| " df = df.loc[:, ~df.columns.str.contains(\"^Unnamed\")]\n", | ||
| " df = dd.from_pandas(df, npartitions=1)\n", | ||
| " df.to_parquet(target, engine=\"fastparquet\", storage_options=storage_options)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "## National Carbon Emissions\n" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "fname = \"/Users/jhamman/workdir/carbonplan_data_downloads/gcp/National_Carbon_Emissions_2019v1.0.xlsx\"\n", | ||
| "\n", | ||
| "# Territorial Emissions\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/consumption_emissions.parquet\"\n", | ||
| "open_kwargs = dict(sheet_name=\"Territorial Emissions\", skiprows=16, index_col=0)\n", | ||
| "process(fname, target, **open_kwargs)\n", | ||
| "\n", | ||
| "# Consumption Emissions\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/territorial_emissions.parquet\"\n", | ||
| "open_kwargs = dict(sheet_name=\"Consumption Emissions\", skiprows=8, index_col=0)\n", | ||
| "process(fname, target, **open_kwargs)\n", | ||
| "\n", | ||
| "# Emissions Transfers\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/transfer_emissions.parquet\"\n", | ||
| "open_kwargs = dict(sheet_name=\"Emissions Transfers\", skiprows=8, index_col=0)\n", | ||
| "process(fname, target, **open_kwargs)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "## Global Carbon Budget\n" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "fname = \"/Users/jhamman/workdir/carbonplan_data_downloads/gcp/raw_gcb_Global_Carbon_Budget_2019v1.0.xlsx\"\n", | ||
| "\n", | ||
| "# Global Carbon Budget\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/global_carbon_budget.parquet\"\n", | ||
| "open_kwargs = dict(sheet_name=\"Global Carbon Budget\", skiprows=18, index_col=0)\n", | ||
| "process(fname, target, **open_kwargs)\n", | ||
| "\n", | ||
| "# Fossil Emissions by Fuel Type\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/fossil_emissions_by_fuel_type.parquet\"\n", | ||
| "open_kwargs = dict(\n", | ||
| " sheet_name=\"Fossil Emissions by Fuel Type\", skiprows=12, index_col=0\n", | ||
| ")\n", | ||
| "process(fname, target, **open_kwargs)\n", | ||
| "\n", | ||
| "# Land-Use Change Emissions\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/land_use_change_emissions.parquet\"\n", | ||
| "open_kwargs = dict(\n", | ||
| " sheet_name=\"Land-Use Change Emissions\", skiprows=25, index_col=0\n", | ||
| ")\n", | ||
| "process(fname, target, **open_kwargs)\n", | ||
| "\n", | ||
| "# Ocean Sink\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/ocean_sink.parquet\"\n", | ||
| "open_kwargs = dict(sheet_name=\"Ocean Sink\", skiprows=22, index_col=0)\n", | ||
| "process(fname, target, **open_kwargs)\n", | ||
| "\n", | ||
| "# Terrestrial Sink\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/terrestrial_sink.parquet\"\n", | ||
| "open_kwargs = dict(sheet_name=\"Terrestrial Sink\", skiprows=23, index_col=0)\n", | ||
| "process(fname, target, **open_kwargs)\n", | ||
| "\n", | ||
| "# Historical Budget\n", | ||
| "target = \"gs://carbonplan-data/raw/gcp/historical_budget.parquet\"\n", | ||
| "open_kwargs = dict(sheet_name=\"Historical Budget\", skiprows=14, index_col=0)\n", | ||
| "process(fname, target, **open_kwargs)" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.8.2" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 4 | ||
| } |