Numpy arrays are used for data manipulation. You can read the csv file into a record array in numpy using the np.genfromtxt() method. This tutorial teaches you how to read … Read more →
Pandas dataframe allows you to store data in a 2-dimensional structure. You can convert select columns in Pandas dataframe to NumPy array using arr = df[[“RegNo”, “Country_Code”]].to_numpy() statement. This tutorial … Read more →
Dictionary allows you to store value in a key-value format, and JSON is a lightweight data-interchange format. You can convert a dictionary to JSON in python using the json.dumps(yourdict) method. … Read more →
Tuples are used to store multiple items in a single object. You can convert a list of tuples into a dictionary in Python using the yourdict = dict(list_of_tuples) statement. Output … Read more →
You will get a TypeError while converting dictionary to json using the json.loads() method. You can solve the JSON object must be str, bytes or bytearray, not dict error using … Read more →
CSV files stores data in a comma-separated format. You can convert a CSV file into a dictionary using the csv.dictReader(fileobj) method in Python. Output Different methods are available to convert … Read more →
Pandas dataframe allows you to store data as rows and columns, and dictionary allows you to store values as a key-value pair. You can convert the pandas dataframe to a … Read more →
Pandas dataframe contains an index that is used to identify rows uniquely. You can convert the index of a pandas dataframe to a column using the df.reset_index(inplace=True) statement. Dataframe Will … Read more →
Python lists allow you to store multiple items in a single object. You can convert multiple lists into pandas dataframe using the zip() method. To convert multiple lists into pandas … Read more →
Python dictionaries are used to store values as keys and values. You need to convert dictionaries to pandas dataframe to manipulate data for machine learning activities. You can convert a … Read more →