Traceback when using Pandas to convert to Json Format

Question

I recently have been trying to use the NBA API to pull shot chart data. I'll link the documentation for the specific function I'm using here .

I keep getting a traceback as follows:

Traceback (most recent call last):
  File "nbastatsrecieve2.py", line 27, in <module>
    df.to_excel(filename, index=False)
  File "C:\Users\*\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\pandas\core\generic.py", line 2023, in to_excel
    formatter.write(
  File "C:\Users\*\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\pandas\io\formats\excel.py", line 730, in write
    writer = ExcelWriter(stringify_path(writer), engine=engine)
  File "C:\Users\*\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\pandas\io\excel\_base.py", line 637, in __new__
    raise ValueError(f"No engine for filetype: '{ext}'") from err
ValueError: No engine for filetype: ''

This is all of the code as I currently have it:

from nba_api.stats.endpoints import shotchartdetail
import pandas as pd
import json

print('Player ID?')
playerid = input()
print('File Name?')
filename = input()

response = shotchartdetail.ShotChartDetail(
    team_id= 0,
    player_id= playerid
)

content = json.loads(response.get_json())

# transform contents into dataframe
results = content['resultSets'][0]
headers = results['headers']
rows = results['rowSet']
df = pd.DataFrame(rows)
df.columns = headers

# write to excel file
df.to_excel(filename, index=False)

Hoping someone can help because I'm very new to the JSON format.

Answer 1

You are getting this because the filename has no extension. Pandas will use the extension (like xlsx or xls ) of the filename (if you're not giving it an ExcelWriter ) to understand the right lib to use for this format. Just try this with something like df.to_excel('filename.xlsx', index=False) and see how goes.