df = pd.DataFrame(data) Custom aggregation to nest data under each plan. nested_json = df.groupby(['CustomerID', 'Plan']).agg(list).reset_index().groupby('CustomerID').apply(lambda x: x[['Plan', 'DataUsage', 'MinutesUsage']].to_dict(orient='records')).to_json() print(nested_...
df.to_json('compressed_data.json.gz', compression='gzip') The above line of code writes the DataFrame to a gzipped JSON file called ‘compressed_data.json.gz’. Note that when the filename ends with ‘.gz’, Pandas infers that the data should be compressed using gzip, even if thecom...
df2 = df.to_json(orient = 'records') # Example 3: Convert Pandas DataFrame To JSON # Using orient = 'index' df2 = df.to_json(orient ='index') # Example 4: Convert Pandas DataFrame To JSON # Using orient = 'split' df2 = df.to_json(orient = 'split') # Example 5: Convert Pan...
1. Quick Examples of Convert JSON to CSV If you are in a hurry, below are some quick examples of how to convert JSON string or file to CSV file.# Quick examples of convert JSON to CSV # Example 1: Convert JSON file to CSV file # pandas read JSON file df = pd.read_json('...
Python program to convert column with list of values into rows in pandas dataframe# Importing pandas package import pandas as pd # Creating two dictionaries d1 = { 'Name':['Ram','Shyam','Seeta','Geeta'], 'Age':[[20,30,40],23,36,29] } # Creating DataFrame df = pd.Da...
To convert Pandas DataFrame to list of Dictionaries, pandas provide us pandas.DataFrame.to_dict() method, which will allow us to achieve this task. This method is used to convert a DataFrame into list of dictionaries which will looks like a JSON. It takes few parameters like dict, list, ...
Section 1: Code-Base Methods for Converting JSON to CSV Pandas: A well-known Python library used in data manipulation. json2csv: A Node.js module that transforms JSON into CSV. JQ: A command-line JSON processor, used in scripts and other programming contexts. ...
Understanding how to convert JSON to Excel opens up data management and analysis possibilities. By importing JSON into Excel, users can seamlessly integrate and leverage the strengths of both formats. With the help of tools like Python’s Pandas or online converters, the conversion process can be...
df['Average']=df['Average'].fillna(0).astype(int)print(df) 以上代码通过使用Pandas库,首先创建了一个数据集,其中包含了学生的姓名和对应的数学、英语和科学成绩。然后,使用mean函数计算了每个学生的平均成绩,并将结果保存在Average列中。接着,使用fillna函数将Na...
(blob_container_name,blob_account_name),blob_sas_token)df=spark.read.load('wasbs://{blob_container_name}}@{blob_account_name}.blob.core.windows.net/staging/testVlaamse.parquet',format='parquet')pdf=df.toPandas()#Converting Pandas DF into geoPandasDFfeatures=pdf....