Loading JSON data into pandas data frame and creating custom columns

Loading JSON data into pandas data frame and creating custom columns

Here is example JSON im working with.

Here is example JSON im working with.

{
    ":@computed_region_amqz_jbr4": "587",
    ":@computed_region_d3gw_znnf": "18",
    ":@computed_region_nmsq_hqvv": "55",
    ":@computed_region_r6rf_p9et": "36",
    ":@computed_region_rayf_jjgk": "295",
    "arrests": "1",
    "county_code": "44",
    "county_code_text": "44",
    "county_name": "Mifflin",
    "fips_county_code": "087",
    "fips_state_code": "42",
    "incident_count": "1",
    "lat_long": {
      "type": "Point",
      "coordinates": [
        -77.620031,
        40.612749
      ]
    }

I have been able to pull out select columns I want except I'm having troubles with "lat_long". So far my code looks like:

# PRINTS OUT SPECIFIED COLUMNS
col_titles = ['county_name', 'incident_count', 'lat_long']
df = df.reindex(columns=col_titles)

However 'lat_long' is added to the data frame as such: {'type': 'Point', 'coordinates': [-75.71107, 4...

I thought once I figured out how properly add the coordinates to the data frame I would then create two seperate columns, one for latitude and one for longitude.

Any help with this matter would be appreciated. Thank you.

python json pandas

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