Main()csv file (newcsvfile.csv) contents: "OfferingClass", "PurchaseOption", "rateCode",Ĭwrite = csv.writer(cfptr, delimiter=',').writerowīuffer1.append(bk1)įor key2 in bk1.keys(): Header = ["item no", "offerTermCode", "sku", "LeaseContractLength", Self.csvfile = filepath / 'newcsvfile.csv' Os.chdir(os.path.abspath(os.path.dirname(_file_))) # files are in same path as script, assure path here. The jason file used was the sample file you posted. I love pandas, but think it's an additional layer that is not necessary in this instance, so didn't use it. The json file would be much easier to use. The following code will give you a CSV file with each entry in the json file normalized into one or more csv records. # print("final Data frame -> ", df_final)ĭf_final.to_csv("./final.csv")I have attached the JSON file to be parsed and expected CSV file for the reference. Reserved_df = read_contentĭf = pd.DataFrame(reserved_df).reset_index(drop=True)ĭf = reserved_dfĭf = pd.concat(.apply(pd.Series), df.drop("priceDimensions", axis=1)], axis=1)ĭf_final = pd.concat().reset_index(drop=True) I would really appreciate the inputs.īelow is the code snippet I have used - def create_all_ri_regions_pricing_file(): I wanted understand how we can parse complex JSON without using for loops or if we have any other efficient way to implement the code, I tried using JSON normalize in pandas also. I was able to achieve the parsing code implementation using for loops and pandas, but need more efficient way of implementing the code as the performance of the code is really not good. The following example shows arrays under JSON with Python.I am trying to parse complex JSON String from AWS Pricing JSON file and convert it into CSV file based on some conditions. Python encode() function encodes the Python object into a JSON string representation. For this tutorial we have downloaded and installed Demjson as follows −Įncodes the Python object into a JSON string representation.ĭecodes a JSON-encoded string into a Python object. Environmentīefore you start with encoding and decoding JSON using Python, you need to install any of the JSON modules available. Let's start with preparing the environment to start our programming with Python for JSON. This chapter covers how to encode and decode JSON objects using Python programming language.
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