Introduction In this tutorial, we want to add the current date and the current timestamp to a PySpark DataFrame. In order to do this, we use the current_date() function and the current_timestamp() function of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import...
Introduction In this tutorial, we want to show different ways how to create an array. In order to create an array, we use the functions array(), zeros(), arange() and linespace() of NumPy. Import Libraries First, we import the following python module: import numpy as np Array function NumPy offers different...
Introduction In this tutorial, we want to join NumPy arrays along different axes. In order to do this, we use the functions hstack(), vstack() and dstack() of NumPy. Import Libraries First, we import the following python module: import numpy as np Define Data Let's consider two arrays a...
Introduction In this tutorial, we want to import Stock Prices from Yahoo Finance into Python. In order to do this, we use ticker module of YFinance. YFinance The python library yfinance enables access to financial data from Yahoo Finance. Yahoo Finance provides various financial market data such as stock...
Introduction In this tutorial, we want to encode ordinal categorical variables of a Pandas DataFrame. In order to do this, we use the replace() method of Pandas. Import Libraries First, we import the following python modules: import pandas as pd Create Pandas DataFrame Next, we create a Pandas DataFrame with...
Introduction In this tutorial, we want to split data into train and test sets. In order to do this, we use the train_test_split() function of Scikit-Learn. Import Libraries First, we import the following python modules: import pandas as pd from sklearn.model_selection import train_test_split Load...
Introduction In this tutorial, we want to one-hot encode a categorical variable of a Pandas DataFrame. In order to do this, we use the get_dummies() function of Pandas. Import Libraries First, we import the following python modules: import pandas as pd Create Pandas DataFrame Next, we create a Pandas...
Introduction In this tutorial, we want to use regular expressions (regex) to filter, replace and extract strings of a Pandas DataFrame based on specific patterns. In order to do this, we use the str.contains() method, the str.replace() method and the str.extract() method of Pandas. Import Libraries First,...
Introduction In this tutorial, we want to create a Barplot. In order to do this, we use the bar() function of Matplotlib. Import Libraries First, we import the Pyplot submodule. The Pyplot submodule contains a collection of important functions such as the plot() function or the bar() function. In addition,...