File /opt/envs/venv-jupyterhub/lib/python3.8/site-packages/financetoolkit/init.py:4, in
1 """FinanceToolkit Initialization"""
3 # flake8: noqa
----> 4 from .toolkit_controller import Toolkit
6 print(
7 "Note: this version is purely meant to be compatible with Python 3.9 and Python 3.8 and will not "
8 "be updated. Please upgrade to Python 3.10 or higher and install the latest version of the Toolkit."
9 )
File /opt/envs/venv-jupyterhub/lib/python3.8/site-packages/financetoolkit/toolkit_controller.py:11, in
8 import pandas as pd
9 import requests
---> 11 from financetoolkit import helpers
12 from financetoolkit.fundamentals_model import (
13 get_analyst_estimates as _get_analyst_estimates,
14 get_dividend_calendar as _get_dividend_calendar,
(...)
21 get_revenue_segmentation as _get_revenue_segmentation,
22 )
23 from financetoolkit.helpers import calculate_growth as _calculate_growth
File /opt/envs/venv-jupyterhub/lib/python3.8/site-packages/financetoolkit/helpers.py:130, in
125 statement_currencies = statement_currencies[statement_currencies.columns[-1]]
127 return statement_currencies, currencies
--> 130 def combine_dataframes(dataset_dictionary: dict[str, pd.DataFrame]) -> pd.DataFrame:
131 """
132 Combine the dataframes from different companies of the same financial statement,
133 e.g. the balance sheet statement, into a single dataframe.
(...)
141 pd.DataFrame: A pandas DataFrame with the combined financial statements.
142 """
143 combined_df = pd.concat(dict(dataset_dictionary), axis=0)
kurucan
commented
10 months ago
I have installed from pip, when I run the example code below and I get the error below:
3.10.12 (main, Jun 13 2023, 15:57:17) [GCC 8.3.0]
**
from financetoolkit import Toolkit
companies = Toolkit(b tickers=['GOOGL', 'MSFT', 'AMZN'], api_key="FINANCIAL_MODELING_PREP_KEY", )
SyntaxError: invalid syntax. Perhaps you forgot a comma? (3581324135.py, line 3)
** or the errow below:
TypeError Traceback (most recent call last) Input In [32], in <cell line: 1>() ----> 1 from financetoolkit import Toolkit 3 companies = Toolkit( 4 tickers=['GOOGL', 'MSFT', 'AMZN'], 5 api_key="FINANCIAL_MODELING_PREP_KEY", 6 )
File /opt/envs/venv-jupyterhub/lib/python3.8/site-packages/financetoolkit/init.py:4, in
1 """FinanceToolkit Initialization"""
3 # flake8: noqa
----> 4 from .toolkit_controller import Toolkit
6 print(
7 "Note: this version is purely meant to be compatible with Python 3.9 and Python 3.8 and will not "
8 "be updated. Please upgrade to Python 3.10 or higher and install the latest version of the Toolkit."
9 )
File /opt/envs/venv-jupyterhub/lib/python3.8/site-packages/financetoolkit/toolkit_controller.py:11, in
8 import pandas as pd
9 import requests
---> 11 from financetoolkit import helpers
12 from financetoolkit.fundamentals_model import (
13 get_analyst_estimates as _get_analyst_estimates,
14 get_dividend_calendar as _get_dividend_calendar,
(...)
21 get_revenue_segmentation as _get_revenue_segmentation,
22 )
23 from financetoolkit.helpers import calculate_growth as _calculate_growth
File /opt/envs/venv-jupyterhub/lib/python3.8/site-packages/financetoolkit/helpers.py:130, in
125 statement_currencies = statement_currencies[statement_currencies.columns[-1]]
127 return statement_currencies, currencies
--> 130 def combine_dataframes(dataset_dictionary: dict[str, pd.DataFrame]) -> pd.DataFrame:
131 """
132 Combine the dataframes from different companies of the same financial statement,
133 e.g. the balance sheet statement, into a single dataframe.
(...)
141 pd.DataFrame: A pandas DataFrame with the combined financial statements.
142 """
143 combined_df = pd.concat(dict(dataset_dictionary), axis=0)
TypeError: 'type' object is not subscriptable