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Author: Admin | 2025-04-28
Install pandasInstalling pandas is straightforward; just use the pip install command in your terminal. pip install pandasAlternatively, you can install it via conda:conda install pandasAfter installing pandas, it's good practice to check the installed version to ensure everything is working correctly:import pandas as pdprint(pd.__version__) # Prints the pandas versionThis confirms that pandas is installed correctly and lets you verify compatibility with other packages.Importing data in pandasTo begin working with pandas, import the pandas Python package as shown below. When importing pandas, the most common alias for pandas is pd.import pandas as pdImporting CSV filesUse read_csv() with the path to the CSV file to read a comma-separated values file (see our tutorial on importing data with read_csv() for more detail).df = pd.read_csv("diabetes.csv")This read operation loads the CSV file diabetes.csv to generate a pandas Dataframe object df. Throughout this tutorial, you'll see how to manipulate such DataFrame objects. Importing text filesReading text files is similar to CSV files. The only nuance is that you need to specify a separator with the sep argument, as shown below. The separator argument refers to the symbol used to separate rows in a DataFrame. Comma (sep = ","), whitespace(sep = "\s"), tab (sep = "\t"), and colon(sep = ":") are the commonly used separators. Here \s represents a single white space character.df = pd.read_csv("diabetes.txt", sep="\s")Importing Excel files (single sheet)Reading excel files (both XLS and XLSX) is as easy as the read_excel() function, using the file path as an input.df = pd.read_excel('diabetes.xlsx')You can also specify other arguments, such as header for to specify which row becomes the DataFrame's header. It has a default value of 0, which denotes the first row as headers or column names. You can also specify column names as a list in the names argument. The index_col (default is None) argument can be used if the file contains a row index.Note: In a pandas DataFrame or Series, the index is an identifier that points to the location of a row or column in a pandas DataFrame. In a nutshell, the index labels the row or column of a DataFrame and lets you access
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