In our previous articles, we discussed how to drop rows and columns from a DataFrame using the pandas Python library. The pandas DataFrame.filter() function does the opposite of the drop() function. It selects rows and columns from the DataFrame using the indexes and...

A TSV file is a simple text file that stores data in a tabular structure. Each record of the table is one line in the TSV file. And each value of a column is separated from the next value using a tab. So, a TSV file is a variation of the CSV file. Please note that in...

In the pandas Python library, we can use the DataFrame.info() function to get the summary of a DataFrame. import pandas df = pandas.read_csv("iris.csv") print(df.info()) Here, we are first reading the CSV file “iris.csv” and creating the DataFrame df. After that, we...

In the pandas Python library, we can use the DataFrame.head() method to see the first few rows of a dataset. For example, if we want to see the first 10 rows of a dataset, we can use the DataFrame.head(10) method. On the other hand, the DataFrame.tail() function gives...

Sometimes a CSV file does not contain any DataFrame header. In such cases, the pandas Python library treats the first row of the DataFrame as a header. To address the problem, we can specify a custom header in the read_csv() function while creating a DataFrame. For...