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Pandas to_sql changing datatype in Postgresql table

I have created a table using the flask db migrate method. Below is how my model is class MutualFundsDataTest(db.Model): id = db.Column(db.Integer, primary_key=True, autoincrement=True) Name = db.Column(db.Text, nullable=False) MF_Code = db.Column(db.Text, nullable=False) Scheme_Code_Direct = db.Column(db.Text, nullable=True) Scheme_Code_Regular = db.Column(db.Text, nullable=True)…

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Convert JSON into a Pandas Dataframe

I have a below JSON object that is retrieved by a query r = {'metaData': [{'columnAliases': ['ltp', 'mcap', 'wsma30uptrend','15 day contraction'], 'availableLimit': 477, 'maxRows': 1, 'isTrend': True, 'limit': 2, 'groups': ['symbol'], 'tradeTimes': [1692210600000], 'lastUpdateTime': 1692266340000}], 'groups': ['BALRAMCHIN', 'GHCL'], 'time': 138,…

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How to convert a nested JSON consisting of lists, ints, dicts, strs and None to pandas dataframe?

I have the following JSON structure, { 'total_numbers':1, 'data':[ { 'col3':'2', 'col4':[ { 'col5':'P', 'col6':'H' } ], 'col7':'2023-06-19T09:29:28.786Z', 'col9':{ 'col10':'TEST', 'col11':'[email protected]', 'col12':'True', 'col13':'999', 'col14':'9999' }, 'col15':'2023-07-10T04:46:43.003Z', 'col16':False, 'col17':[ { 'col18':'S', 'col19':'H' } ], 'col20':True, 'col21':{ 'col22':'sss', 'col23':'0.0.0.0', 'col24':'lll' }, 'col25':0,…

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Converting JSON output from API pull to pandas Dataframe?

I am using an API pull to extract data from the AESO API in python. My code is as follows: API_KEY = 'api_key_here' merit_order_url = 'https://api.aeso.ca/report/v1/meteredvolume/details?startDate=2022-01-01' url = merit_order_url headers = {'accept': 'application/json', 'X-API-Key': API_KEY} response = requests.get(url, headers=headers) The…

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