How To Read A CSV File In Python
How To Read A CSV File In Python
Feb 21, 2022
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Excelling Excel on Instagram: "When you load a CSV file in Python using pandas, sometimes your table output looks cut off — with columns truncated or rows hidden. In this tutorial, you’ll learn how to read CSV files into pandas DataFrames and adjust the display settings so you can see your full dataset clearly inside the terminal or Jupyter Notebook. 📘 You’ll learn: How to import pandas and load a CSV file How to use pd.read_csv("filename.csv") How to display all columns and adjust width using:
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Data Extraction & Cleaning using an online retail dataset on Kaggle. ° °We start by importing Pandas, a library used for data manipulation and analysis. °We load our dataset, a CSV file using `pd.read_csv` and set encoding to handle special characters in the data. °We use `head()` function to get a view of the first five rows of our data. °We then move on to cleaning the data, using different functions. °`isnull().sum()` for the number of missing values in each column. °`dropna()` to remove/drop
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