Change The Value Of A Particular Key Each Dictionary In A List - Python

I have a list of dictionary as shown below. [{'type': 'df_first', 'from': '2020-02-01T20:00:00.000Z', 'to': '2020-02-03T20:00:00.000Z', 'days':0, 'coef':[0.

Solution 1:

Create a new dataframe from records (list of dictionaries), then use Series.shift on from column + Series.fillna with tocolumn and assign it back to to column, next use DataFrame.to_dict to get list of dictionaries:

df = pd.DataFrame(records)
df['to'] = df['from'].shift(-1).fillna(df['to'])
records = df.to_dict('r')

Result:

# print(records)

[{'type': 'df_first',
  'from': '2020-02-01T20:00:00.000Z',
  'to': '2020-02-03T20:00:00.000Z',
  'days': 0,
  'coef': [0.1, 0.1, 0.1, 0.1, 0.1, 0.1]},
 {'type': 'quadratic',
  'from': '2020-02-03T20:00:00.000Z',
  'to': '2020-02-04T20:00:00.000Z',
  'days': 3,
  'coef': [0.1, 0.1, 0.1, 0.1, 0.1, 0.1]},
 {'type': 'linear',
  'from': '2020-02-04T20:00:00.000Z',
  'to': '2020-02-08T20:00:00.000Z',
  'days': 3,
  'coef': [0.1, 0.1, 0.1, 0.1, 0.1, 0.1]},
 {'type': 'polynomial',
  'from': '2020-02-08T20:00:00.000Z',
  'to': '2020-02-08T20:00:00.000Z',
  'days': 3,
  'coef': [0.1, 0.1, 0.1, 0.1, 0.1, 0.1]}]