Generate a python script that read data from Qlik Cloud and Convert it to PDF

[olaoyesunday1]

Hello folks,

 I am trying to use python scripts to read data from a Qlik Cloud bar chart, output it as a pdf file, but I keep on getting this  error bellow :

    Failed to fetch chart data. Status code: 401
Traceback (most recent call last):
File "c:\Users\Sunday\Documents\ClikModules\app3v2.py", line 39, in <module>
plt.bar(df['Manager'], df['Sales'])
~~^^^^^^^^^^^
File "C:\Users\Sunday\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\frame.py", line 3893, in __getitem__
indexer = self.columns.get_loc(key)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Sunday\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\indexes\range.py", line 418, in get_loc
raise KeyError(key)
KeyError: 'Manager'

here is my scripts to help me to check what I did wrong: 

import requests

import pandas as pd

import matplotlib.pyplot as plt

import base64

# Qlik Sense Configuration

qlik_base_url = "https://example.eu.qlikcloud.com/"

qlik_app_id = "f7ff978a-0e41-4e4c-86e5-59ffd77bb218"

qlik_chart_object_id = "XgePP"

# Authentication credentials (replace with your actual credentials)

qlik_username = "sunday.olaoye@example.com"

qlik_password = "password"

# Fetch data from Qlik Sense with authentication headers

qlik_data_url = f"{qlik_base_url}/api/v1/apps/{qlik_app_id}/visualizations/{qlik_chart_object_id}/data"

headers = {

    "Authorization": "Basic " + base64.b64encode(f"{qlik_username}:{qlik_password}".encode()).decode()

}

response = requests.get(qlik_data_url, headers=headers)

# Check for successful response status

if response.status_code == 200:

    try:

        chart_data = response.json()

    except requests.exceptions.JSONDecodeError as e:

        print(f"Error decoding JSON: {e}")

        chart_data = None

else:

    print(f"Failed to fetch chart data. Status code: {response.status_code}")

    chart_data = None

# Convert Qlik chart data to a Pandas DataFrame

df = pd.DataFrame(chart_data)

# Data processing or analysis

# For this example, let's just plot the data and save it as a PDF

plt.figure(figsize=(10, 6))

plt.bar(df['Manager'], df['Sales'])

plt.xlabel('Manager')

plt.ylabel('Sales')

plt.title('Bar Chart Data from Qlik Sense')

# Save the plot as a PDF file

pdf_file_path = "qlik_bar_chart.pdf"

plt.savefig(pdf_file_path, format='pdf')

# Display or further process the DataFrame as needed

print(df.head())

Please, I will appreciate anyone that can really help

[F_B]

The authorization Issue suggests that your authentication credentials are incorrect or that the API endpoint requires a different method of authentication.

The KeyError in Pandas DataFrame suggests that the column 'Manager' does not exist, which could be due to incorrect data parsing or an unexpected data structure.

Hope this helps