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/Manipulating Data: Libraries Workflow
Manipulating Data: Libraries Workflow
Learn how to collect and upload files in the data handling process.
Working with structured and unstructured data
Data comes in many formats and stems from various sources. Therefore, manipulating data efficiently is essential in developing advanced chatbot systems. We will explore several libraries and tools essential for handling data, discussing their specific roles in enhancing chatbot functionality. Data can be structured, such as CSV files or Excel sheets containing tabular data, or unstructured, such as text in PDF files or images. Handling these types of data requires specialized libraries to facilitate the process of data manipulation, serialization, and storage.
Managing structured data
Structured data adheres to predefined schemas, such as tables in databases or Excel spreadsheets. It focuses on organizing the data in a way that makes it searchable and understandable for operations such as querying, filtering, and aggregation.
Pandas for CSV files
Pandas simplifies the manipulation of tabular data, which is essential for preparing datasets for chatbots. By efficiently reading, writing, and processing CSV, pandas helps in data cleaning and feature extraction.
import pandas as pd# Reading a CSV file into a DataFramedf_csv = pd.read_csv('/usercode/GDP.csv')print(df_csv.head())
In this code, we perform the following steps:
- Line 1: We import the necessary library.
- Lines 3–5: We read the CSV file from the disk using pandas
read_csv.
Pandas for Excel files
Pandas also supports reading and writing Excel xlsx files for tabular data operations.
import pandas as pd# Reading a CSV file into a DataFramedf_csv = pd.read_excel('/usercode/GDP.xlsx', engine='openpyxl')print(df_csv.head())
In this code, we perform the following steps:
- Line 1: We import the necessary library.
- Lines 3–5: We read the Excel file from the disk using pandas
read_excel.
OpenPyXL module for Excel manipulation
OpenPyXL extends the ability to interact with Excel files, offering detailed manipulation of worksheets, cells, and formulas. This is useful in scenarios where data for chatbots needs to be dynamically adjusted ...