Delete a folder in Google Colab
To delete a folder in Google Colab, you need to first remove all the files and subfolders within it. Here is a step-by-step guide on how to do this using Python and shell commands:
Tag: python
CDF plot of Numerical columns
The provided code below generates a grid of subplots (dynamic rows and 2 columns) and plots cumulative distribution function (CDF) plots for numerical variables in a DataFrame (df).
Python warnings module
In Python, the warnings module provides a way to handle warnings emitted by the Python interpreter or third-party libraries. When you use import warnings, you can control how warnings are displayed or handle them programmatically. Here are some common use cases:
How-to: give a specific sorting order to categorical values
In pandas, you can give a specific sorting order to categorical values by creating a categorical variable with an ordered category. Here’s an example: In this example: This can be useful when you want to ensure that certain operations, such as sorting or plotting, take into account the natural order of the days of the…
How-to: When missing data is of type categorical
hen dealing with missing data of type categorical, several methods can be used to impute the missing values. Here are some common approaches: The choice of imputation method depends on the nature of the data, the underlying patterns, and the goals of the analysis. Always consider the context of the data and the potential impact…
How-to: clean a dataset
leaning a dataset involves handling missing values, correcting errors, and preparing the data for analysis. Here are common steps to clean a dataset using Python and pandas: Always document the steps taken during the cleaning process for transparency and reproducibility. Additionally, it’s crucial to thoroughly understand the context of the data and the goals of…
How-to: formatting options for floating-point numbers in Pandas
n Pandas, pd.set_option(‘display.float_format’, …) is used to set the formatting options for floating-point numbers when they are displayed in the console or output. It allows you to customize how floating-point numbers are presented, including the number of decimal places, scientific notation, and other formatting details. In this example, the pd.set_option(‘display.float_format’, ‘{:,.2f}’.format) line sets the floating-point…
Univariate Analysis in EDA
nivariate exploration refers to the analysis of a single variable in isolation. In data analysis, univariate exploration involves examining the distribution, central tendency, and variability of a single variable without considering its relationship with other variables. Common techniques used in univariate exploration include: Univariate exploration is often the first step in data analysis, providing insights…
What is Pandas?
andas is a powerful open-source data manipulation and analysis library for Python. It provides data structures for efficiently storing, manipulating, and analyzing structured data, such as tabular data and time series. Key features of Pandas include: To use Pandas, you typically start by importing it into your Python script or Jupyter Notebook: After importing, you…
How to Save Your Python Objects in Google Colab
In Google Colab, you can use np.save to save NumPy arrays to your Google Drive. Here are the steps: Mount Google Drive Start by mounting your Google Drive. Run the following code and follow the instructions to authorize and mount your Google Drive: