The following line of code is to be run on Jupyter Notebook to install the required packages. 1!pip install cohere==4.57 pymongo pandas s3fs Initialize the Cohere API key and MongoDB connection string If you hav
1 from datasets import load_dataset 2 import pandas as pd 3 4 data = load_dataset("explodinggradients/ragas-wikiqa", split="train") 5 df = pd.DataFrame(data) The dataset has the following columns that are important to us: question: User questions correct_answer: Ground truth answers to...
To read a CSV file into a Pandas DataFrame, you can use theread_csv()function. Here is an example: importpandas aspddf=pd.read_csv('file.csv') Make sure that you have imported thepandasmodule and that the filefile.csvis in the same directory as your Jupyter notebook or you provide ...
How do I import Pandas and Matplotlib in my script? Use the following import statements at the beginning of your script or Jupyter Notebook. What does the ‘bins’ parameter in the hist function do? The ‘bins’ parameter in thehistfunction of Pandas is used to specify the number of bins...
You can use a DataFrame to display lists as tables in Jupyter Notebook. Import and instantiate the DataFrame class, passing it the list and the names of the columns. main.py import pandas as pd a_list = [ [1, 2, 3], [4, 5, 6] ] pd.DataFrame(a_list, columns=["First", "Seco...
Launch Jupyter Notebook To run Tensorflow with Jupyter, you need to create an environment within Anaconda. It means you will install Ipython, Jupyter, and TensorFlow in an appropriate folder inside our machine. On top of this, you will add one essential library fordata science: “Pandas”. Th...
1.Use cases for using SQL with pandas 2.Using SQLAlchemy to query pandas DataFrames in a Jupyter notebook 3.Installing SQL Alchemy 4.Importing SQL Alchemy 5.Step 1: Import SQLAlchemy 6.Step 2: Load the SQL extension 7.Step 3: Create a SQLite connection 8.Step 4: Connect to the SQLit...
Notebook file: JupyterNotebook_Python/A101_Explore-phenotype-tables_Python.ipynb Dependency A Spark instance Run info: runtime: 5min recommended instance: mem1_ssd1_v2_x8 cost: <£0.10 A102 Explore participant data (Python; Spark) Scope: This notebook explains how to explore phenotypic...
If your function is very fast or slow, then adjust that number as needed to get an accurate measure. When you run timeit in the command line or use the %timeit magic command in a Jupyter Notebook, then it’ll show you the best runtime of the code snippet that you’ve given it: ...
For instance, the script below stores the list of the OpenAI models retrieved in the previous script to a Pandas Dataframe. # converts the list of OpenAI models to a Pandas DataFrameimportpandasaspd data=pd.DataFrame(models["data"])data.head(20) ...