{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Detrending, Stylized Facts and the Business Cycle\n", "\n", "In an influential article, Harvey and Jaeger (1993) described the use of unobserved components models (also known as \"structural time series models\") to derive stylized facts of the business cycle.\n", "\n", "Their paper begins:\n", "\n", " \"Establishing the 'stylized facts' associated with a set of time series is widely considered a crucial step\n", " in macroeconomic research ... For such facts to be useful they should (1) be consistent with the stochastic\n", " properties of the data and (2) present meaningful information.\"\n", " \n", "In particular, they make the argument that these goals are often better met using the unobserved components approach rather than the popular Hodrick-Prescott filter or Box-Jenkins ARIMA modeling techniques.\n", "\n", "statsmodels has the ability to perform all three types of analysis, and below we follow the steps of their paper, using a slightly updated dataset." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "execution": { "iopub.execute_input": "2023-12-14T14:42:12.420175Z", "iopub.status.busy": "2023-12-14T14:42:12.419929Z", "iopub.status.idle": "2023-12-14T14:42:16.488104Z", "shell.execute_reply": "2023-12-14T14:42:16.487227Z" }, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import statsmodels.api as sm\n", "import matplotlib.pyplot as plt\n", "\n", "from IPython.display import display, Latex" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unobserved Components\n", "\n", "The unobserved components model available in statsmodels can be written as:\n", "\n", "$$\n", "y_t = \\underbrace{\\mu_{t}}_{\\text{trend}} + \\underbrace{\\gamma_{t}}_{\\text{seasonal}} + \\underbrace{c_{t}}_{\\text{cycle}} + \\sum_{j=1}^k \\underbrace{\\beta_j x_{jt}}_{\\text{explanatory}} + \\underbrace{\\varepsilon_t}_{\\text{irregular}}\n", "$$\n", "\n", "see Durbin and Koopman 2012, Chapter 3 for notation and additional details. Notice that different specifications for the different individual components can support a wide range of models. The specific models considered in the paper and below are specializations of this general equation.\n", "\n", "### Trend\n", "\n", "The trend component is a dynamic extension of a regression model that includes an intercept and linear time-trend.\n", "\n", "$$\n", "\\begin{align}\n", "\\underbrace{\\mu_{t+1}}_{\\text{level}} & = \\mu_t + \\nu_t + \\eta_{t+1} \\qquad & \\eta_{t+1} \\sim N(0, \\sigma_\\eta^2) \\\\\\\\\n", "\\underbrace{\\nu_{t+1}}_{\\text{trend}} & = \\nu_t + \\zeta_{t+1} & \\zeta_{t+1} \\sim N(0, \\sigma_\\zeta^2) \\\\\n", "\\end{align}\n", "$$\n", "\n", "where the level is a generalization of the intercept term that can dynamically vary across time, and the trend is a generalization of the time-trend such that the slope can dynamically vary across time.\n", "\n", "For both elements (level and trend), we can consider models in which:\n", "\n", "- The element is included vs excluded (if the trend is included, there must also be a level included).\n", "- The element is deterministic vs stochastic (i.e. whether or not the variance on the error term is confined to be zero or not)\n", "\n", "The only additional parameters to be estimated via MLE are the variances of any included stochastic components.\n", "\n", "This leads to the following specifications:\n", "\n", "| | Level | Trend | Stochastic Level | Stochastic Trend |\n", "|----------------------------------------------------------------------|-------|-------|------------------|------------------|\n", "| Constant | ✓ | | | |\n", "| Local Level
(random walk) | ✓ | | ✓ | |\n", "| Deterministic trend | ✓ | ✓ | | |\n", "| Local level with deterministic trend
(random walk with drift) | ✓ | ✓ | ✓ | |\n", "| Local linear trend | ✓ | ✓ | ✓ | ✓ |\n", "| Smooth trend
(integrated random walk) | ✓ | ✓ | | ✓ |\n", "\n", "### Seasonal\n", "\n", "The seasonal component is written as:\n", "\n", "$$\n", "\\gamma_t = - \\sum_{j=1}^{s-1} \\gamma_{t+1-j} + \\omega_t \\qquad \\omega_t \\sim N(0, \\sigma_\\omega^2)\n", "$$\n", "\n", "The periodicity (number of seasons) is `s`, and the defining character is that (without the error term), the seasonal components sum to zero across one complete cycle. The inclusion of an error term allows the seasonal effects to vary over time.\n", "\n", "The variants of this model are:\n", "\n", "- The periodicity `s`\n", "- Whether or not to make the seasonal effects stochastic.\n", "\n", "If the seasonal effect is stochastic, then there is one additional parameter to estimate via MLE (the variance of the error term).\n", "\n", "### Cycle\n", "\n", "The cyclical component is intended to capture cyclical effects at time frames much longer than captured by the seasonal component. For example, in economics the cyclical term is often intended to capture the business cycle, and is then expected to have a period between \"1.5 and 12 years\" (see Durbin and Koopman).\n", "\n", "The cycle is written as:\n", "\n", "$$\n", "\\begin{align}\n", "c_{t+1} & = c_t \\cos \\lambda_c + c_t^* \\sin \\lambda_c + \\tilde \\omega_t \\qquad & \\tilde \\omega_t \\sim N(0, \\sigma_{\\tilde \\omega}^2) \\\\\\\\\n", "c_{t+1}^* & = -c_t \\sin \\lambda_c + c_t^* \\cos \\lambda_c + \\tilde \\omega_t^* & \\tilde \\omega_t^* \\sim N(0, \\sigma_{\\tilde \\omega}^2)\n", "\\end{align}\n", "$$\n", "\n", "The parameter $\\lambda_c$ (the frequency of the cycle) is an additional parameter to be estimated by MLE. If the seasonal effect is stochastic, then there is one another parameter to estimate (the variance of the error term - note that both of the error terms here share the same variance, but are assumed to have independent draws).\n", "\n", "### Irregular\n", "\n", "The irregular component is assumed to be a white noise error term. Its variance is a parameter to be estimated by MLE; i.e.\n", "\n", "$$\n", "\\varepsilon_t \\sim N(0, \\sigma_\\varepsilon^2)\n", "$$\n", "\n", "In some cases, we may want to generalize the irregular component to allow for autoregressive effects:\n", "\n", "$$\n", "\\varepsilon_t = \\rho(L) \\varepsilon_{t-1} + \\epsilon_t, \\qquad \\epsilon_t \\sim N(0, \\sigma_\\epsilon^2)\n", "$$\n", "\n", "In this case, the autoregressive parameters would also be estimated via MLE.\n", "\n", "### Regression effects\n", "\n", "We may want to allow for explanatory variables by including additional terms\n", "\n", "$$\n", "\\sum_{j=1}^k \\beta_j x_{jt}\n", "$$\n", "\n", "or for intervention effects by including\n", "\n", "$$\n", "\\begin{align}\n", "\\delta w_t \\qquad \\text{where} \\qquad w_t & = 0, \\qquad t < \\tau, \\\\\\\\\n", "& = 1, \\qquad t \\ge \\tau\n", "\\end{align}\n", "$$\n", "\n", "These additional parameters could be estimated via MLE or by including them as components of the state space formulation.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data\n", "\n", "Following Harvey and Jaeger, we will consider the following time series:\n", "\n", "- US real GNP, \"output\", ([GNPC96](https://research.stlouisfed.org/fred2/series/GNPC96))\n", "- US GNP implicit price deflator, \"prices\", ([GNPDEF](https://research.stlouisfed.org/fred2/series/GNPDEF))\n", "- US monetary base, \"money\", ([AMBSL](https://research.stlouisfed.org/fred2/series/AMBSL))\n", "\n", "The time frame in the original paper varied across series, but was broadly 1954-1989. Below we use data from the period 1948-2008 for all series. Although the unobserved components approach allows isolating a seasonal component within the model, the series considered in the paper, and here, are already seasonally adjusted.\n", "\n", "All data series considered here are taken from [Federal Reserve Economic Data (FRED)](https://research.stlouisfed.org/fred2/). Conveniently, the Python library [Pandas](https://pandas.pydata.org/) has the ability to download data from FRED directly." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "execution": { "iopub.execute_input": "2023-12-14T14:42:16.492810Z", "iopub.status.busy": "2023-12-14T14:42:16.492312Z", "iopub.status.idle": "2023-12-14T14:42:18.433998Z", "shell.execute_reply": "2023-12-14T14:42:18.432882Z" }, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "# Datasets\n", "from pandas_datareader.data import DataReader\n", "\n", "# Get the raw data\n", "start = '1948-01'\n", "end = '2008-01'\n", "us_gnp = DataReader('GNPC96', 'fred', start=start, end=end)\n", "us_gnp_deflator = DataReader('GNPDEF', 'fred', start=start, end=end)\n", "us_monetary_base = DataReader('AMBSL', 'fred', start=start, end=end).resample('QS').mean()\n", "recessions = DataReader('USRECQ', 'fred', start=start, end=end).resample('QS').last().values[:,0]\n", "\n", "# Construct the dataframe\n", "dta = pd.concat(map(np.log, (us_gnp, us_gnp_deflator, us_monetary_base)), axis=1)\n", "dta.columns = ['US GNP','US Prices','US monetary base']\n", "dta.index.freq = dta.index.inferred_freq\n", "dates = dta.index._mpl_repr()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To get a sense of these three variables over the timeframe, we can plot them:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "execution": { "iopub.execute_input": "2023-12-14T14:42:18.438148Z", "iopub.status.busy": "2023-12-14T14:42:18.437796Z", "iopub.status.idle": "2023-12-14T14:42:19.246528Z", "shell.execute_reply": "2023-12-14T14:42:19.245588Z" }, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the data\n", "ax = dta.plot(figsize=(13,3))\n", "ylim = ax.get_ylim()\n", "ax.xaxis.grid()\n", "ax.fill_between(dates, ylim[0]+1e-5, ylim[1]-1e-5, recessions, facecolor='k', alpha=0.1);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model\n", "\n", "Since the data is already seasonally adjusted and there are no obvious explanatory variables, the generic model considered is:\n", "\n", "$$\n", "y_t = \\underbrace{\\mu_{t}}_{\\text{trend}} + \\underbrace{c_{t}}_{\\text{cycle}} + \\underbrace{\\varepsilon_t}_{\\text{irregular}}\n", "$$\n", "\n", "The irregular will be assumed to be white noise, and the cycle will be stochastic and damped. The final modeling choice is the specification to use for the trend component. Harvey and Jaeger consider two models:\n", "\n", "1. Local linear trend (the \"unrestricted\" model)\n", "2. Smooth trend (the \"restricted\" model, since we are forcing $\\sigma_\\eta = 0$)\n", "\n", "Below, we construct `kwargs` dictionaries for each of these model types. Notice that rather that there are two ways to specify the models. One way is to specify components directly, as in the table above. The other way is to use string names which map to various specifications." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "execution": { "iopub.execute_input": "2023-12-14T14:42:19.251023Z", "iopub.status.busy": "2023-12-14T14:42:19.250059Z", "iopub.status.idle": "2023-12-14T14:42:19.261805Z", "shell.execute_reply": "2023-12-14T14:42:19.260933Z" }, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "# Model specifications\n", "\n", "# Unrestricted model, using string specification\n", "unrestricted_model = {\n", " 'level': 'local linear trend', 'cycle': True, 'damped_cycle': True, 'stochastic_cycle': True\n", "}\n", "\n", "# Unrestricted model, setting components directly\n", "# This is an equivalent, but less convenient, way to specify a\n", "# local linear trend model with a stochastic damped cycle:\n", "# unrestricted_model = {\n", "# 'irregular': True, 'level': True, 'stochastic_level': True, 'trend': True, 'stochastic_trend': True,\n", "# 'cycle': True, 'damped_cycle': True, 'stochastic_cycle': True\n", "# }\n", "\n", "# The restricted model forces a smooth trend\n", "restricted_model = {\n", " 'level': 'smooth trend', 'cycle': True, 'damped_cycle': True, 'stochastic_cycle': True\n", "}\n", "\n", "# Restricted model, setting components directly\n", "# This is an equivalent, but less convenient, way to specify a\n", "# smooth trend model with a stochastic damped cycle. Notice\n", "# that the difference from the local linear trend model is that\n", "# `stochastic_level=False` here.\n", "# unrestricted_model = {\n", "# 'irregular': True, 'level': True, 'stochastic_level': False, 'trend': True, 'stochastic_trend': True,\n", "# 'cycle': True, 'damped_cycle': True, 'stochastic_cycle': True\n", "# }" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now fit the following models:\n", "\n", "1. Output, unrestricted model\n", "2. Prices, unrestricted model\n", "3. Prices, restricted model\n", "4. Money, unrestricted model\n", "5. Money, restricted model" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "execution": { "iopub.execute_input": "2023-12-14T14:42:19.266194Z", "iopub.status.busy": "2023-12-14T14:42:19.265519Z", "iopub.status.idle": "2023-12-14T14:42:22.082310Z", "shell.execute_reply": "2023-12-14T14:42:22.081506Z" }, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "# Output\n", "output_mod = sm.tsa.UnobservedComponents(dta['US GNP'], **unrestricted_model)\n", "output_res = output_mod.fit(method='powell', disp=False)\n", "\n", "# Prices\n", "prices_mod = sm.tsa.UnobservedComponents(dta['US Prices'], **unrestricted_model)\n", "prices_res = prices_mod.fit(method='powell', disp=False)\n", "\n", "prices_restricted_mod = sm.tsa.UnobservedComponents(dta['US Prices'], **restricted_model)\n", "prices_restricted_res = prices_restricted_mod.fit(method='powell', disp=False)\n", "\n", "# Money\n", "money_mod = sm.tsa.UnobservedComponents(dta['US monetary base'], **unrestricted_model)\n", "money_res = money_mod.fit(method='powell', disp=False)\n", "\n", "money_restricted_mod = sm.tsa.UnobservedComponents(dta['US monetary base'], **restricted_model)\n", "money_restricted_res = money_restricted_mod.fit(method='powell', disp=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once we have fit these models, there are a variety of ways to display the information. Looking at the model of US GNP, we can summarize the fit of the model using the `summary` method on the fit object." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false, "execution": { "iopub.execute_input": "2023-12-14T14:42:22.086471Z", "iopub.status.busy": "2023-12-14T14:42:22.085966Z", "iopub.status.idle": "2023-12-14T14:42:22.110432Z", "shell.execute_reply": "2023-12-14T14:42:22.109664Z" }, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Unobserved Components Results \n", "=====================================================================================\n", "Dep. Variable: US GNP No. Observations: 241\n", "Model: local linear trend Log Likelihood 769.972\n", " + damped stochastic cycle AIC -1527.945\n", "Date: Thu, 14 Dec 2023 BIC -1507.136\n", "Time: 14:42:22 HQIC -1519.558\n", "Sample: 01-01-1948 \n", " - 01-01-2008 \n", "Covariance Type: opg \n", "====================================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "------------------------------------------------------------------------------------\n", "sigma2.irregular 1.399e-06 7.35e-06 0.190 0.849 -1.3e-05 1.58e-05\n", "sigma2.level 2.775e-06 4.97e-05 0.056 0.955 -9.47e-05 0.000\n", "sigma2.trend 3.199e-06 1.48e-06 2.162 0.031 2.99e-07 6.1e-06\n", "sigma2.cycle 3.871e-05 2.55e-05 1.517 0.129 -1.13e-05 8.87e-05\n", "frequency.cycle 0.4496 0.047 9.548 0.000 0.357 0.542\n", "damping.cycle 0.8672 0.042 20.564 0.000 0.785 0.950\n", "===================================================================================\n", "Ljung-Box (L1) (Q): 0.00 Jarque-Bera (JB): 9.27\n", "Prob(Q): 1.00 Prob(JB): 0.01\n", "Heteroskedasticity (H): 0.26 Skew: -0.04\n", "Prob(H) (two-sided): 0.00 Kurtosis: 3.97\n", "===================================================================================\n", "\n", "Warnings:\n", "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n" ] } ], "source": [ "print(output_res.summary())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For unobserved components models, and in particular when exploring stylized facts in line with point (2) from the introduction, it is often more instructive to plot the estimated unobserved components (e.g. the level, trend, and cycle) themselves to see if they provide a meaningful description of the data.\n", "\n", "The `plot_components` method of the fit object can be used to show plots and confidence intervals of each of the estimated states, as well as a plot of the observed data versus the one-step-ahead predictions of the model to assess fit." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "execution": { "iopub.execute_input": "2023-12-14T14:42:22.114125Z", "iopub.status.busy": "2023-12-14T14:42:22.113687Z", "iopub.status.idle": "2023-12-14T14:42:23.988787Z", "shell.execute_reply": "2023-12-14T14:42:23.987978Z" }, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/statsmodels/tsa/statespace/structural.py:1738: RuntimeWarning: invalid value encountered in sqrt\n", " std_errors = np.sqrt(component_bunch['%s_cov' % which])\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = output_res.plot_components(legend_loc='lower right', figsize=(15, 9));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, Harvey and Jaeger summarize the models in another way to highlight the relative importances of the trend and cyclical components; below we replicate their Table I. The values we find are broadly consistent with, but different in the particulars from, the values from their table." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false, "execution": { "iopub.execute_input": "2023-12-14T14:42:23.992967Z", "iopub.status.busy": "2023-12-14T14:42:23.992606Z", "iopub.status.idle": "2023-12-14T14:42:24.024028Z", "shell.execute_reply": "2023-12-14T14:42:24.023162Z" }, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/html": [ "
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$\\sigma_\\zeta^2$$\\sigma_\\eta^2$$\\sigma_\\kappa^2$$\\rho$$2 \\pi / \\lambda_c$$\\sigma_\\varepsilon^2$
SeriesTime rangeRestrictions
US GNP1948:1-2008:1None27.7531.99387.10.8713.9813.99
US Prices1948:1-2008:1None061.8820.710.436.550
$\\sigma_\\eta^2 = 0$61.92NaN20.690.436.550
US monetary base1948:1-2008:1None68.7518.86192.70.8923.190
$\\sigma_\\eta^2 = 0$18.92NaN247.10.8923.80
\n", "
" ], "text/plain": [ " $\\sigma_\\zeta^2$ \\\n", "Series Time range Restrictions \n", "US GNP 1948:1-2008:1 None 27.75 \n", "US Prices 1948:1-2008:1 None 0 \n", " $\\sigma_\\eta^2 = 0$ 61.92 \n", "US monetary base 1948:1-2008:1 None 68.75 \n", " $\\sigma_\\eta^2 = 0$ 18.92 \n", "\n", " $\\sigma_\\eta^2$ \\\n", "Series Time range Restrictions \n", "US GNP 1948:1-2008:1 None 31.99 \n", "US Prices 1948:1-2008:1 None 61.88 \n", " $\\sigma_\\eta^2 = 0$ NaN \n", "US monetary base 1948:1-2008:1 None 18.86 \n", " $\\sigma_\\eta^2 = 0$ NaN \n", "\n", " $\\sigma_\\kappa^2$ $\\rho$ \\\n", "Series Time range Restrictions \n", "US GNP 1948:1-2008:1 None 387.1 0.87 \n", "US Prices 1948:1-2008:1 None 20.71 0.43 \n", " $\\sigma_\\eta^2 = 0$ 20.69 0.43 \n", "US monetary base 1948:1-2008:1 None 192.7 0.89 \n", " $\\sigma_\\eta^2 = 0$ 247.1 0.89 \n", "\n", " $2 \\pi / \\lambda_c$ \\\n", "Series Time range Restrictions \n", "US GNP 1948:1-2008:1 None 13.98 \n", "US Prices 1948:1-2008:1 None 6.55 \n", " $\\sigma_\\eta^2 = 0$ 6.55 \n", "US monetary base 1948:1-2008:1 None 23.19 \n", " $\\sigma_\\eta^2 = 0$ 23.8 \n", "\n", " $\\sigma_\\varepsilon^2$ \n", "Series Time range Restrictions \n", "US GNP 1948:1-2008:1 None 13.99 \n", "US Prices 1948:1-2008:1 None 0 \n", " $\\sigma_\\eta^2 = 0$ 0 \n", "US monetary base 1948:1-2008:1 None 0 \n", " $\\sigma_\\eta^2 = 0$ 0 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Create Table I\n", "table_i = np.zeros((5,6))\n", "\n", "start = dta.index[0]\n", "end = dta.index[-1]\n", "time_range = '%d:%d-%d:%d' % (start.year, start.quarter, end.year, end.quarter)\n", "models = [\n", " ('US GNP', time_range, 'None'),\n", " ('US Prices', time_range, 'None'),\n", " ('US Prices', time_range, r'$\\sigma_\\eta^2 = 0$'),\n", " ('US monetary base', time_range, 'None'),\n", " ('US monetary base', time_range, r'$\\sigma_\\eta^2 = 0$'),\n", "]\n", "index = pd.MultiIndex.from_tuples(models, names=['Series', 'Time range', 'Restrictions'])\n", "parameter_symbols = [\n", " r'$\\sigma_\\zeta^2$', r'$\\sigma_\\eta^2$', r'$\\sigma_\\kappa^2$', r'$\\rho$',\n", " r'$2 \\pi / \\lambda_c$', r'$\\sigma_\\varepsilon^2$',\n", "]\n", "\n", "i = 0\n", "for res in (output_res, prices_res, prices_restricted_res, money_res, money_restricted_res):\n", " if res.model.stochastic_level:\n", " (sigma_irregular, sigma_level, sigma_trend,\n", " sigma_cycle, frequency_cycle, damping_cycle) = res.params\n", " else:\n", " (sigma_irregular, sigma_level,\n", " sigma_cycle, frequency_cycle, damping_cycle) = res.params\n", " sigma_trend = np.nan\n", " period_cycle = 2 * np.pi / frequency_cycle\n", " \n", " table_i[i, :] = [\n", " sigma_level*1e7, sigma_trend*1e7,\n", " sigma_cycle*1e7, damping_cycle, period_cycle,\n", " sigma_irregular*1e7\n", " ]\n", " i += 1\n", " \n", "pd.set_option('float_format', lambda x: '%.4g' % np.round(x, 2) if not np.isnan(x) else '-')\n", "table_i = pd.DataFrame(table_i, index=index, columns=parameter_symbols)\n", "table_i" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.13" } }, "nbformat": 4, "nbformat_minor": 4 }