The latency-performance trade-off becomes especially important in a production setup. Max Tokens: Number of tokens that can be compressed into a single embedding. You typically don’t want to put more than a single paragraph of text (~100 tokens) into a single embedding. So even embedding ...
In Pandas, you can save a DataFrame to a CSV file using the df.to_csv('your_file_name.csv', index=False) method, where df is your DataFrame and index=False prevents an index column from being added.
# Function to create table def create_table(ticker): # Define Postgres hook pg_hook = PostgresHook(postgres_conn_id='postgres_optionsdata') # Create table if it doesn't exist pg_hook.run(f""" CREATE TABLE IF NOT EXISTS {ticker} ( put_call VARCHAR(5) NOT NULL, symbol VARCHAR(32) ...
The first thing we have to do is create a connection to a database. To do so, we only need to import sqlite3 and use the.connectmethod. Inside parentheses, we write the name of the database we want to create. In my case, I’ll name it “students.db” importsqlite3 # ...
How to put a Pandas DataFrame into a JSON file and read it again - To put a Pandas DataFrame into a JSON file and read it again, we can use to_json() and read_json() methods.StepsCreate a two-dimensional, size-mutable, potentially heterogeneous tabular d
This will return you a dictionary-like object, allowing you to access header values by key. # Header contents for key, value in r.headers.items(): print(key, ":", value) Server : nginx Content-Type : text/html; charset=utf-8 X-Frame-Options : DENY Via : 1.1 vegur, 1.1 varnish,...
In the notebook, open a code tab to install all the relevant packages that we will use later on: pip install geojson geopandas Next, open another code tab. In this tab, we will generate a GeoPandas DataFrame out of the Parquet files. ...
data.Date=pd.to_datetime(data.Date)data.info() When we execute that, we will see now that we have adatetimedata type rather than before we had an object. <class 'pandas.core.frame.DataFrame'>RangeIndex: 252 entries, 0 to 251Data columns (total 7 columns):# Column Non-Null Count Dty...
passed to the transformation function is stored as a list rather than a data frame, so when reading from the .xdf file we set thereturnDataFrameargument to FALSE to emulate this behavior. Since we only use the variableagein our transformation function, we restrict the variables extracted to ...
This function removes the burden of explicitly fetching the retrieved data and then converting it into the pandas DataFrame format. The read_sql() function does these tasks for you behind the scenes. In this example, you use sqlalchemy to create an engine to connect to an Oracle database. ...