timeseriestools
from timeseriestools import TimeseriesTools
import pandas as pd
tst = TimeseriesTools()
tst.login("info@timeseries.tools", "some-password")
s = pd.Series(index=["2020-01-01", "2020-01-02", "2020-01-03"], data=[1, 2, 3])
s.index = pd.to_datetime(s.index)
tst.create_tearsheet(s)
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Metadata
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Release files for timeseriestools 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| timeseriestools-0.0.2.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| timeseriestools-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.5 kB
Release files / timeseriestools-0.0.2.tar.gz
| Download URL | timeseriestools-0.0.2.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.3 readme-renderer/37.2 requests/2.27.1 requests-toolbelt/0.10.0 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/5.0.0 keyring/23.9.3 rfc3986/1.5.0 colorama/0.4.6 CPython/3.10.2
|
Release files / timeseriestools-0.0.2-py3-none-any.whl
| Download URL | timeseriestools-0.0.2-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.8.0 pkginfo/1.8.3 readme-renderer/37.2 requests/2.27.1 requests-toolbelt/0.10.0 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/5.0.0 keyring/23.9.3 rfc3986/1.5.0 colorama/0.4.6 CPython/3.10.2
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