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This error typically occurs when you try to use the state-based interface to Matplotlib called matplotlib.pyplot but do not define the alias plt when importing the API. You can solve this error by using the as keyword to alias the matplotlib.pyplot API, for example:...

This error occurs if you try to call the split() method on an integer. The split() method belongs to the string class and splits a string using a delimiter returning a list of strings. You can solve this error by checking the type of the object before calling the...

This error typically occurs when you try to use the Pandas library but do not define the alias pd when importing the module. You can solve this error by using the as keyword to alias the pandas module, for example: import pandas as pd This tutorial will go through how...

This error occurs when you try to use the os module without importing it first. You can solve this error by importing the module. For example, import os os.cwd() This tutorial will detail the error and how to solve it with code examples. Table of contentsWhat is a...

This error occurs when you try to serialize a DataFrame object to a JSON string using the json.dumps() method. You can solve this error by converting the DataFrame to a JSON string using the DataFrame to_json() method. For example, json_str = my_dataframe.to_json()...

This error occurs when you try to serialize a Decimal object to a JSON string using the json.dumps() method. You can solve this error by setting the default keyword argument to str when calling the json.dumps() method. For example, json_str = json.dumps(decimal_value,...

This error occurs when you try to convert a numpy.int32 integer to a JSON string using the json.dumps() method. The json.dumps() method can serialize ordinary Python integers. You can solve this error by converting the numpy.int32 number to a Python integer by passing...

This error occurs when you try to convert a numpy.int64 integer to a JSON string using the json.dumps() method. The json.dumps() method can serialize ordinary Python integers. You can solve this error by converting the numpy.int64 number to a Python integer by passing...

This error occurs when you pass a file to the json.dumps() method. You can solve this error by calling read() or readlines() to return a string or a list, respectively. For example, import json with open('file_name', 'r') as f: json_str = json.dumps(f.readlines())...

This error occurs when you pass the name of a method to the json.dumps() method instead of the method call. You can successfully pass a method call to json.dumps() if that method returns a JSON serializable object. You can solve this error by putting parentheses after...