Convert InsetChart.json file in 'output_path' to InsetChart.csv.
Adding Simulation_Year column if Base_Year exists in config.json.
Args:
| output_path (str): Subdirectory in which to find InsetChart.json
|
Returns:
Raises:
Type |
Description |
ValueError
|
if InsetChart.json can't be found.
|
ValueError
|
if InsetChart.csv can't be written.
|
Source code in emod_api/channelreports/icj_to_csv.py
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65 | def inset_chart_json_to_csv_dataframe_pd(output_path: str):
"""
Convert InsetChart.json file in 'output_path' to InsetChart.csv.
Adding Simulation_Year column if Base_Year exists in config.json.
Args:
output_path (str): Subdirectory in which to find InsetChart.json
Returns:
Raises:
ValueError: if InsetChart.json can't be found.
ValueError: if InsetChart.csv can't be written.
"""
icj_path = os.path.join(output_path, "InsetChart.json")
if not os.path.exists(icj_path):
raise ValueError(f"InsetChart.json not found at {output_path}.")
# Load JSON data from file
with open(icj_path) as fp:
icj = json.load(fp)
optional_years_channel = _get_sim_years(output_path)
if optional_years_channel:
icj["Channels"]["Simulation_Year"]["Data"] = optional_years_channel
# Create an empty DataFrame
df = pd.DataFrame()
# Iterate over the Channels keys and extract time series data
for channel, values in icj["Channels"].items():
# Create a column in the DataFrame for each channel
df[channel] = values["Data"]
try:
# Convert DataFrame to CSV
csv_path = os.path.join(output_path, "InsetChart.csv")
df.to_csv(csv_path, index=False)
except Exception as ex:
print(f"ERROR: Exception {ex} while writing csv dataframe of InsetChart.json to disk.")
raise ValueError(ex)
|