# Welcome to Stat Box рџ‘‹
[](https://gitlab.com/dmatryus.sqrt49/stat_box/-/blob/b6399bd3cc0f3282c2a54bc9b8952456723ccada/LICENSE)
> A low-code python utility for fast statistics collection
# Install
```sh
pip install stat-box
```
# Usage
## Statistics
```python3
from stat_box.statistic import StatisticSet, Quantile,
import pandas as pd
df = pd.DataFrame(
{"1": {"a": 1, "b": 2}, "2": {"a": 3, "b": 3}, "3": {"a": "1", "b": "d"}}
)
print(StatisticSet({Quantile(i / 100) for i in range(1, 100)}).stat_table(df))
# The same
print(QUANTILE_SET.stat_table(df))
```
## Time series
```python3
from stat_box.time_series import TimeSeries, plot, group, rolling_trend, exp1, exp2, linear_trend, diff
import pandas as pd
from datetime import datetime
from dateutil.relativedelta import relativedelta
import numpy as np
# Generate data
data = pd.DataFrame(
{
"time": [datetime.now() + relativedelta(days=i) for i in range(365)],
"value": [
np.random.randint(-30, 30) + np.random.randint(-i / 7, i / 3 + 1)
for i in range(365)
],
}
)
# Indexed data
ts = TimeSeries(data)
ts.set_index('time')
plot(ts, title="Indexed data")
# Grouped data
gts = group(ts, "30d")
plot(gts, title="Grouped data")
# Rolling trend
rts = rolling_trend(ts, "30d")
plot(rts, title="Rolling trend")
# EXP_1
alpha = 0.02
e1ts = exp1(ts, alpha)
plot(e1ts, title=f"Exp_1 a trend (alpha = {alpha})")
# EXP_2
alpha = 0.6
beta = 0.9
e2ts = exp2(ts, alpha, beta)
plot(e2ts, title=f"Exp_2 a trend (alpha = {alpha} beta={beta})")
# Linear trend
lts = linear_trend(rts)
plot(lts, title="Linear trend")
# Diff
sdts = diff(rts, "sequential", True)
plot(sdts, title="Sequential diff of rolling data")
edts = diff(rts, "end", True)
plot(edts, title="End diff of rolling data")
ledrs = linear_trend(edts)
plot([edts, ledrs], legend=['edts', 'ledrs'], title="Linear trend of end dif of rolling data")
```
# Author
👤 **dmatryus**
* Github: [@dmatryus.sqrt49](https://github.com/dmatryus.sqrt49)
# рџ¤ќ Contributing
Contributions, issues and feature requests are welcome!
Feel free to check [issues page](https://gitlab.com/dmatryus.sqrt49/stat_box/-/issues). PRs are welcome!
# Show your support
Give a вђпёЏ if this project helped you!
# рџ“ќ License
Copyright В© 2021 [dmatryus](https://github.com/dmatryus.sqrt49).
This project
is [MIT](https://gitlab.com/dmatryus.sqrt49/stat_box/-/blob/main/LICENSE?ref_type=heads)
licensed.
***
_This README was generated with вќ¤пёЏ by [readme-md-generator](https://github.com/kefranabg/readme-md-generator)_
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"description": "# Welcome to Stat Box \u0440\u045f\u2018\u2039\r\n\r\n\r\n[](https://gitlab.com/dmatryus.sqrt49/stat_box/-/blob/b6399bd3cc0f3282c2a54bc9b8952456723ccada/LICENSE)\r\n\r\n> A low-code python utility for fast statistics collection\r\n\r\n# Install\r\n\r\n```sh\r\npip install stat-box\r\n```\r\n\r\n# Usage\r\n\r\n## Statistics\r\n\r\n```python3\r\nfrom stat_box.statistic import StatisticSet, Quantile, \r\nimport pandas as pd\r\n\r\ndf = pd.DataFrame(\r\n {\"1\": {\"a\": 1, \"b\": 2}, \"2\": {\"a\": 3, \"b\": 3}, \"3\": {\"a\": \"1\", \"b\": \"d\"}}\r\n)\r\nprint(StatisticSet({Quantile(i / 100) for i in range(1, 100)}).stat_table(df))\r\n\r\n# The same\r\nprint(QUANTILE_SET.stat_table(df))\r\n```\r\n\r\n## Time series\r\n\r\n```python3\r\nfrom stat_box.time_series import TimeSeries, plot, group, rolling_trend, exp1, exp2, linear_trend, diff\r\nimport pandas as pd\r\nfrom datetime import datetime\r\nfrom dateutil.relativedelta import relativedelta\r\nimport numpy as np\r\n\r\n\r\n# Generate data\r\ndata = pd.DataFrame(\r\n {\r\n \"time\": [datetime.now() + relativedelta(days=i) for i in range(365)],\r\n \"value\": [\r\n np.random.randint(-30, 30) + np.random.randint(-i / 7, i / 3 + 1)\r\n for i in range(365)\r\n ],\r\n }\r\n)\r\n# Indexed data\r\nts = TimeSeries(data)\r\nts.set_index('time')\r\nplot(ts, title=\"Indexed data\")\r\n# Grouped data\r\ngts = group(ts, \"30d\")\r\nplot(gts, title=\"Grouped data\")\r\n# Rolling trend\r\nrts = rolling_trend(ts, \"30d\")\r\nplot(rts, title=\"Rolling trend\")\r\n# EXP_1\r\nalpha = 0.02\r\ne1ts = exp1(ts, alpha)\r\nplot(e1ts, title=f\"Exp_1 a trend (alpha = {alpha})\")\r\n# EXP_2\r\nalpha = 0.6\r\nbeta = 0.9\r\ne2ts = exp2(ts, alpha, beta)\r\nplot(e2ts, title=f\"Exp_2 a trend (alpha = {alpha} beta={beta})\")\r\n# Linear trend\r\nlts = linear_trend(rts)\r\nplot(lts, title=\"Linear trend\")\r\n# Diff\r\nsdts = diff(rts, \"sequential\", True)\r\nplot(sdts, title=\"Sequential diff of rolling data\")\r\nedts = diff(rts, \"end\", True)\r\nplot(edts, title=\"End diff of rolling data\")\r\nledrs = linear_trend(edts)\r\nplot([edts, ledrs], legend=['edts', 'ledrs'], title=\"Linear trend of end dif of rolling data\")\r\n```\r\n\r\n# Author\r\n\r\n\u0440\u045f\u2018\u00a4 **dmatryus**\r\n\r\n* Github: [@dmatryus.sqrt49](https://github.com/dmatryus.sqrt49)\r\n\r\n# \u0440\u045f\u00a4\u045c Contributing\r\n\r\nContributions, issues and feature requests are welcome!\r\n\r\nFeel free to check [issues page](https://gitlab.com/dmatryus.sqrt49/stat_box/-/issues). PRs are welcome!\r\n\r\n# Show your support\r\n\r\nGive a \u0432\u00ad\u0452\u043f\u0451\u040f if this project helped you!\r\n\r\n# \u0440\u045f\u201c\u045c License\r\n\r\nCopyright \u0412\u00a9 2021 [dmatryus](https://github.com/dmatryus.sqrt49).\r\n\r\nThis project\r\nis [MIT](https://gitlab.com/dmatryus.sqrt49/stat_box/-/blob/main/LICENSE?ref_type=heads)\r\nlicensed.\r\n\r\n***\r\n_This README was generated with \u0432\u045c\u00a4\u043f\u0451\u040f by [readme-md-generator](https://github.com/kefranabg/readme-md-generator)_\r\n",
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