pandas_historical
Awesome pandas_historical created by dvvolynkin
Install it from PyPI
pip install pandas_historical
Usage
import pandas as pd
currencies_scraping = pd.DataFrame([
{
'date': '2022-02-21',
'key': 'DOLLAR',
'value': 78,
'scraping_id': 123
},
{
'date': '2022-02-21',
'key': 'EURO',
'value': 87,
'scraping_id': 123
},
{
'date': '2022-02-28',
'key': 'DOLLAR',
'value': 105,
'scraping_id': 124
},
{
'date': '2022-03-07',
'key': 'EURO',
'value': 139,
'scraping_id': 125
},
{
'date': '2022-03-07',
'key': 'EURO',
'value': 148,
'scraping_id': 125
}
])
currencies_scraping
|
date |
key |
value |
scraping_id |
| 0 |
2022-02-21 |
DOLLAR |
78 |
123 |
| 1 |
2022-02-21 |
EURO |
87 |
123 |
| 2 |
2022-02-28 |
DOLLAR |
105 |
124 |
| 3 |
2022-03-07 |
EURO |
139 |
125 |
| 4 |
2022-03-07 |
EURO |
148 |
125 |
from pandas_historical import make_historical_df
historical_df = make_historical_df(currencies_scraping)
historical_df
|
date |
key |
value |
scraping_id |
| 0 |
2022-02-21 |
DOLLAR |
78 |
123 |
| 1 |
2022-02-28 |
DOLLAR |
105 |
124 |
| 2 |
2022-02-21 |
EURO |
87 |
123 |
| 3 |
2022-03-07 |
EURO |
139 |
125 |
| 4 |
2022-03-07 |
EURO |
148 |
125 |
from pandas_historical import update_historical_df
new_values = pd.DataFrame([
{
'date': '2022-03-11',
'key': 'DOLLAR',
'value': 113,
'scraping_id': 127
},
{
'date': '2022-03-11',
'key': 'EURO',
'value': 144,
'scraping_id': 127
}
])
historical_df = update_historical_df(
historical_df, new_values
)
historical_df
|
date |
key |
value |
scraping_id |
| 0 |
2022-02-21 |
DOLLAR |
78 |
123 |
| 1 |
2022-02-28 |
DOLLAR |
105 |
124 |
| 2 |
2022-03-11 |
DOLLAR |
113 |
127 |
| 3 |
2022-02-21 |
EURO |
87 |
123 |
| 4 |
2022-03-07 |
EURO |
139 |
125 |
| 5 |
2022-03-07 |
EURO |
148 |
125 |
| 6 |
2022-03-11 |
EURO |
144 |
127 |
from pandas_historical import get_history_state
get_history_state(historical_df)
|
date |
key |
value |
scraping_id |
| 2 |
2022-03-11 00:00:00 |
DOLLAR |
113 |
127 |
| 6 |
2022-03-11 00:00:00 |
EURO |
144 |
127 |
get_history_state(historical_df, state_date='2022-03-07')
|
date |
key |
value |
scraping_id |
| 1 |
2022-02-28 00:00:00 |
DOLLAR |
105 |
124 |
| 4 |
2022-03-07 00:00:00 |
EURO |
139 |
125 |
Development
Read the CONTRIBUTING.md file.
