Comments (3)
I think the docs should make it clear that there are two different "modes" of installation: If you want to use nelson-siegel-svensson
as a library, you can go with the ordinary pip install
. If you want to use the command line interface, you need the "extras" version.
I am fine with this, but please update the docs (in particular installation.rst and README.rst) accordingly.
from nelson_siegel_svensson.
matplotlib
is used in the command line interface to allow plotting via the nelson_siegel_svensson plot
subcommand. That's why it is included as a dependency in setup.py
.
I don't consider this feature "essential", so I am open to moving matplotlib
to an extra dependency (probably click
should then be treated the same way). @guym0r Would you care to submit a PR?
from nelson_siegel_svensson.
Yes I would love to :)
But the installation command would change from
pip install nelson-siegel-svensson
to
pip install nelson-siegel-svensson[cli]
in order to run the CLI feature. (the original command will work but witout the CLI feature).
Are you sure you fine with this?
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Related Issues (15)
- how to estimate tau? HOT 1
- Weighted Regression HOT 1
- Negative values of tau HOT 3
- Fixing Tau during OLS calibration HOT 1
- Is the input yield zero-coupon yield? HOT 2
- Cannot iterate over results of calibrate_nss_ols process to collect parameters HOT 3
- Problems fitting the current Bund yield curve HOT 1
- can't import nelson_siegel_svensson HOT 4
- is it possible to estimate different yield curves on the same chart? HOT 1
- getting curve from slope, curvature HOT 4
- Calibrating NS parameters for multiple term structures together HOT 2
- Implementation of the Nelson-Siegel-Svensson interest rate curve model HOT 2
- Unexpected results for calibrate_nss_ols function HOT 2
- Error in calibrate_nss_ols() parameter output comparing with Fed Data HOT 4
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