Echarts dataset format looks like a CSV, but with additional square brackets. I was wondering how I could export a Pandas DataFrame directly to this format. Currently, I have to use an Emacs macro to turn exported CSV to this format.
Example of DataFrame:
|----------------+------+------+------|
| product | 2015 | 2016 | 2017 |
|----------------+------+------+------|
| Matcha Latte | 43.3 | 85.8 | 93.7 |
| Milk Tea | 83.1 | 73.4 | 55.1 |
| Cheese Cocoa | 86.4 | 65.2 | 82.5 |
| Walnut Brownie | 72.4 | 53.9 | 39.1 |
|----------------+------+------+------|
Example of expected output:
[
['product', 2015, 2016, 2017],
['Matcha Latte', 43.3, 85.8, 93.7],
['Milk Tea', 83.1, 73.4, 55.1],
['Cheese Cocoa', 86.4, 65.2, 82.5],
['Walnut Brownie', 72.4, 53.9, 39.1]
]
>Solution :
Code
out = [df.columns.tolist()] + df.values.tolist()
out:
[['product', '2015', '2016', '2017'],
['Matcha Latte', 43.3, 85.8, 93.7],
['Milk Tea', 83.1, 73.4, 55.1],
['Cheese Cocoa', 86.4, 65.2, 82.5],
['Walnut Brownie', 72.4, 53.9, 39.1]]
another approach
out = df.T.reset_index().T.values.tolist()
same result
Example Code (df)
import pandas as pd
data1 = {'product': ['Matcha Latte', 'Milk Tea', 'Cheese Cocoa', 'Walnut Brownie'],
'2015': [43.3, 83.1, 86.4, 72.4],
'2016': [85.8, 73.4, 65.2, 53.9],
'2017': [93.7, 55.1, 82.5, 39.1]}
df = pd.DataFrame(data1)