Work with JSON orientations
JSON isn't a tabular format, so pandas makes assumptions about its orientation when loading data. Most JSON data you encounter will be in orientations that pandas can automatically transform into a dataframe.
Sometimes, like in this modified version of the Department of Homeless Services Daily Report, data is oriented differently. To reduce the file size, it has been split formatted. You'll see what happens when you try to load it normally versus with the orient keyword argument. The try/except block will alert you if there are errors loading the data.
pandas has been loaded as pd.
Questo esercizio fa parte del corso
Streamlined Data Ingestion with pandas
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
try:
# Load the JSON without keyword arguments
df = ____
# Plot total population in shelters over time
df["date_of_census"] = pd.to_datetime(df["date_of_census"])
df.plot(x="date_of_census",
y="total_individuals_in_shelter")
plt.show()
except ValueError:
print("pandas could not parse the JSON.")