Make sure to use $ for all column names, otherwise you may get an error message:overloaded method value select with alternatives. Example notebook Run theNested JSON to DataFrame example notebookto view the sample code and results.
df = pd.read_json('data.json') df.to_excel('output.xlsx', index=False) Export Nested JSON Here, the JSON file contains nested data, such as a list of phone numbers for each customer. We’ll usejson_normalizeto flatten this data before exporting it to Excel. JSON File Content (nested...
The json_normalize() function is very widely used to read the nested JSON string and return a DataFrame. To use this function, we need first to read the JSON string using json.loads() function in the JSON library in Python. Then we pass this JSON object to the json_normalize(), which...
Grouping by ‘CustomerID’ and then by ‘Month’ to create a nested JSON. nested_json = df.groupby('CustomerID').apply(lambda x: x.groupby('Month').apply(lambda y: y.drop(['CustomerID', 'Month'], axis=1).to_dict(orient='records'))).to_json() print(nested_json) Output: { "...
Python program to open a JSON file in pandas and convert it into DataFrame # Importing pandas packageimportpandasaspd# Importing a json filed=pd.read_json('E:/sample1.json', typ='series')# Display the json fileprint("Imported JSON file:\n",d,"\n")# Creating DataFramedf=pd.DataFra...
You can convert Pandas DataFrame to JSON string by using the DataFrame.to_json() method. This method takes a very important param orient which accepts
Write out nested DataFrame as a JSON file Use therepartition().write.optionfunction to write the nested DataFrame to a JSON file. %scala nestedDF.repartition(1).write.option("multiLine","true").json("dbfs:/tmp/test/json1/") Example notebook ...
One of the common approach to convert JSON data into a python tuple is converting the json data to a dict using json.loads() and then conveting it to a python tuple using dict.items(). There are several other ways or methods to convert JSON data into tuple, depending on our needs ...
Write out nested DataFrame as a JSON file Use therepartition().write.optionfunction to write the nested DataFrame to a JSON file. %scala nestedDF.repartition(1).write.option("multiLine","true").json("dbfs:/tmp/test/json1/") Example notebook ...
Convert json result of OSRM routing query to SpatialLinesDataFrameosrmresult