zip dict converts a integer list to a string while creating a JSON file-CodePudding

I am trying to save a JSON file from a dataframe.

Sample data:

import pandas as pd
import json

df

    Metric          Value
0   Line1           10% off
1   Line2           15% off
2   Line3           20% off
3   Line4           25% off
4   Line5           30% off
5   revenueXaxis    ['Week 1', 'Week 2', 'Week 3', 'Week 4', 'Week 5', 'Week 6', 'Week 7', 'Week 8']
6   Revenuedata1    [30, 30, 30, 30, 30, 30, 30, 30]
7   Revenuedata2    [25, 25, 25, 20, 25, 25, 25, 25]
8   Revenuedata3    [15, 15, 15, 15, 15, 15, 15, 15]
9   Revenuedata4    [15, 10, 10, 10, 10, 10, 10, 10]
10  Revenuedata5    [10, 10, 10, 10, 10, 10, 10, 10]

When I perform below zip operation to convert it as a dictionary, the list values in Revenuedata1 to Revenuedata5 is converted into a string as below:

dict(zip(df.iloc[:,0], df.iloc[:,1]))

{'Line1': '10% off',
 'Line2': '15% off',
 'Line3': '20% off',
 'Line4': '25% off',
 'Line5': '30% off',
 'revenueXaxis': "['Week 1', 'Week 2', 'Week 3', 'Week 4', 'Week 5', 'Week 6', 'Week 7', 'Week 8']",
 'Revenuedata1': '[30, 30, 30, 30, 30, 30, 30, 30]',
 'Revenuedata2': '[25, 25, 25, 20, 25, 25, 25, 25]',
 'Revenuedata3': '[15, 15, 15, 15, 15, 15, 15, 15]',
 'Revenuedata4': '[15, 10, 10, 10, 10, 10, 10, 10]',
 'Revenuedata5': '[10, 10, 10, 10, 10, 10, 10, 10]'}

And when I write it to a file using json.dump, this is the output I get:

 "ExpectedRevenue": {
        "Line1": "10% off",
        "Line2": "15% off",
        "Line3": "20% off",
        "Line4": "25% off",
        "Line5": "30% off",
        "revenueXaxis": "['Week 1', 'Week 2', 'Week 3', 'Week 4', 'Week 5', 'Week 6', 'Week 7', 'Week 8']",
        "Revenuedata1": "[50, 110, 180, 260, 350, 450, 550, 650]",
        "Revenuedata2": "[20, 45, 75, 110, 150, 195, 245, 300]",
        "Revenuedata3": "[5, 15, 28, 43, 60, 78, 98, 120]",
        "Revenuedata4": "[4, 10, 17, 2, 35, 46, 58, 72]",
        "Revenuedata5": "[3, 8, 13.5, 19.5, 26.5, 34.5, 44, 54]"
    },

Could someone please let me know how to keep the integer list values as is and not a string.

Expected Output:

"ExpectedRevenue": [{
    "Line1": "10% off",
    "Line2": "15% off",
    "Line3": "20% off",
    "Line4": "25% off",
    "Line5": "30% off",
    "revenueXaxis": ["Week 1", "Week 2", "Week 3", "Week 4", "Week 5", "Week 6", "Week 7", "Week 8"],
    "Revenuedata1": [50, 110, 180, 260, 350, 450, 550, 650],
    "Revenuedata2": [20, 45, 75, 110, 150, 195, 245, 300],
    "Revenuedata3": [5, 15, 28, 43, 60, 78, 98, 120],
    "Revenuedata4": [4, 10, 17, 2, 35, 46, 58, 72],
    "Revenuedata5": [3, 8, 13.5, 19.5, 26.5, 34.5, 44, 54]
}]

CodePudding user response：

If string starting by [ convert values to lists by ast.literal_eval only for filtered rows:

import ast

m = df['Value'].str.startswith('[')
df.loc[m, 'Value'] = df.loc[m, 'Value'].apply(ast.literal_eval)

Last create dictionary:

print (df.set_index('Metric')['Value'].to_dict())

print (dict(zip(df.iloc[:,0], df.iloc[:,1])))