by Suf | Jun 10, 2022 | Programming, Python, Tips
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...
by Suf | Jun 10, 2022 | Programming, Python, Tips
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...
by Suf | Jun 10, 2022 | Programming, Python, Tips
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()...
by Suf | Jun 9, 2022 | Programming, Python, Tips
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,...
by Suf | Jun 9, 2022 | Programming, Python, Tips
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...
by Suf | Jun 8, 2022 | Programming, Python, Tips
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...
