Template
added analysis and tools
This commit is contained in:
ken
Executable
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#!/bin/sh
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# $1 is param 1 $2 is param 2
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PLANE="N72KH"
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mkdir $1
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mkdir $1/${PLANE}_GPS_$1
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mkdir $1/${PLANE}_EFIS_$1
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mkdir $1/${PLANE}_EMS_$1
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mkdir $1/${PLANE}_combined_$1
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DATE=$(./dMoYr_yyyymmdd.py $1)
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cp template_efis.ipynb $1/${DATE}_efis.ipynb
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cp template_ems.ipynb $1/${DATE}_ems.ipynb
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pushd notebooks
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ln -s ../${1}/${DATE}_efis.ipynb .
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ln -s ../${1}/${DATE}_ems.ipynb .
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popd
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open $1
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@@ -0,0 +1,329 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## EFIS Processing"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# comment whole cell by selecting all lines, then CTRL+/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"#%matplotlib inline \n",
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"%matplotlib widget\n",
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"#%matplotlib notebook\n",
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"# did pip install ipympl..."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"sys.path.append('../../../programs')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from pathlib import Path"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# # debug paths\n",
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"# import os\n",
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"# os.getcwd()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import subprocess"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import efis_plot_util_nb as efisU"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Notebook name starts with YYYYMMDD_ so sort by name is in date order\\\n",
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"Data is unpacked in a directory named DDmonYYYY/ "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# fname_date=\"20200207\"\n",
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"# import datetime\n",
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"# dt=datetime.datetime.strptime(fname_date,\"%Y%m%d\")\n",
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"# date=dt.strftime(\"%-d%b%Y\")\n",
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"# print(date)\n",
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"# efisU.FLIGHTDATE=date"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"#get the date from the directory\n",
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"import os\n",
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"efisU.FLIGHTDATE=os.getcwd().split('/')[-1]\n",
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"efisU.PATH=os.fspath(Path(*Path(os.getcwd()).parts[:-1]))\n",
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"print(efisU.PATH)\n",
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"print(efisU.FLIGHTDATE)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"sp=efisU.PATH+\"/%s/N72KH_combined_%s/\" %(efisU.FLIGHTDATE,efisU.FLIGHTDATE)\n",
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"cmd=\"ls -skS '%s' | grep N.TXT\" % (sp)\n",
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"logs=subprocess.check_output(cmd, shell=True)\n",
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"print(logs.decode('utf8'))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"LOGCOUNT=int(len(logs.split())/2)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**The default is the most recent log** \n",
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"**edit the LOG number here to use a different log**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"LOGNUM=LOGCOUNT-1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"d=efisU.get_df(\"../%s/N72KH_EFIS_%s/LOG000%sN_F.csv\" % (efisU.FLIGHTDATE,efisU.FLIGHTDATE,LOGNUM))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.rcParams[\"figure.figsize\"]= (30,10)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"efisU.pd.Timestamp(efisU.FLIGHTDATE)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"wrapped,index = efisU.check_newday(d)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"if wrapped:\n",
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" print(\"day wrapped at %d\" % index)\n",
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" d=efisU.fix_newday(d,index)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"d=efisU.add_elapsed(d)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"#d.head(efisU.sv+2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"efisU.plot_ALTI(d)\n",
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"plt.grid()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"efisU.plot_AIRSP(d)\n",
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"plt.grid()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"flight time\")\n",
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"print(d.index[-1])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"efisU.sv"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"d.info()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"lines_to_next_cell": 0
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},
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"outputs": [],
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"source": [
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"#t=emsU.pd.Series([val.time() for val in d['TIME']])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"lines_to_next_cell": 2
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"jupytext": {
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"formats": "ipynb,py:light"
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},
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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@@ -0,0 +1,112 @@
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# ---
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# jupyter:
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# jupytext:
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# formats: ipynb,py:light
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# text_representation:
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# extension: .py
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# format_name: light
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# format_version: '1.5'
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# jupytext_version: 1.14.1
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# kernelspec:
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# display_name: Python 3 (ipykernel)
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# language: python
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# name: python3
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# ---
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# ## EFIS Processing
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# +
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# comment whole cell by selecting all lines, then CTRL+/
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# -
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# #%matplotlib inline
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# %matplotlib widget
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# #%matplotlib notebook
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# did pip install ipympl...
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import sys
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sys.path.append('../../../programs')
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from pathlib import Path
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# +
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# # debug paths
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# import os
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# os.getcwd()
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# -
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import subprocess
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import matplotlib.pyplot as plt
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import efis_plot_util_nb as efisU
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# Notebook name starts with YYYYMMDD_ so sort by name is in date order\
|
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# Data is unpacked in a directory named DDmonYYYY/
|
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|
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# +
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# fname_date="20200207"
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# import datetime
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# dt=datetime.datetime.strptime(fname_date,"%Y%m%d")
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# date=dt.strftime("%-d%b%Y")
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# print(date)
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# efisU.FLIGHTDATE=date
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# -
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#get the date from the directory
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import os
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efisU.FLIGHTDATE=os.getcwd().split('/')[-1]
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efisU.PATH=os.fspath(Path(*Path(os.getcwd()).parts[:-1]))
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print(efisU.PATH)
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print(efisU.FLIGHTDATE)
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sp=efisU.PATH+"/%s/N72KH_combined_%s/" %(efisU.FLIGHTDATE,efisU.FLIGHTDATE)
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cmd="ls -skS '%s' | grep N.TXT" % (sp)
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logs=subprocess.check_output(cmd, shell=True)
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print(logs.decode('utf8'))
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LOGCOUNT=int(len(logs.split())/2)
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# **The default is the most recent log**
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# **edit the LOG number here to use a different log**
|
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|
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LOGNUM=LOGCOUNT-1
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d=efisU.get_df("../%s/N72KH_EFIS_%s/LOG000%sN_F.csv" % (efisU.FLIGHTDATE,efisU.FLIGHTDATE,LOGNUM))
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|
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# %matplotlib inline
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plt.rcParams["figure.figsize"]= (30,10)
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efisU.pd.Timestamp(efisU.FLIGHTDATE)
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wrapped,index = efisU.check_newday(d)
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|
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if wrapped:
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print("day wrapped at %d" % index)
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d=efisU.fix_newday(d,index)
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d=efisU.add_elapsed(d)
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# +
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#d.head(efisU.sv+2)
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# -
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efisU.plot_ALTI(d)
|
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plt.grid()
|
||||
|
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efisU.plot_AIRSP(d)
|
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plt.grid()
|
||||
|
||||
print("flight time")
|
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print(d.index[-1])
|
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efisU.sv
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|
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d.info()
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# +
|
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#t=emsU.pd.Series([val.time() for val in d['TIME']])
|
||||
# -
|
||||
|
||||
|
||||
@@ -0,0 +1,354 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## EMS Processing"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# comment whole cell by selecting all lines, then CTRL+/"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import sys\n",
|
||||
"sys.path.append('../../../programs')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from pathlib import Path"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# # debug paths\n",
|
||||
"# import os\n",
|
||||
"# os.getcwd()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import subprocess"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import datetime"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import matplotlib.pyplot as plt"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import ems_plot_util_nb as emsU"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Notebook name starts with YYYYMMDD_ so sort by name is in date order\\\n",
|
||||
"Data is unpacked in a directory named DDmonYYYY/"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# fname_date=\"20200207\"\n",
|
||||
"# dt=datetime.datetime.strptime(fname_date,\"%Y%m%d\")\n",
|
||||
"# date=dt.strftime(\"%-d%b%Y\")\n",
|
||||
"# print(date)\n",
|
||||
"# emsU.FLIGHTDATE=date"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#get the date from the directory\n",
|
||||
"import os\n",
|
||||
"emsU.FLIGHTDATE=os.getcwd().split('/')[-1]\n",
|
||||
"emsU.PATH=os.fspath(Path(*Path(os.getcwd()).parts[:-1]))\n",
|
||||
"print(emsU.PATH)\n",
|
||||
"print(emsU.FLIGHTDATE)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"sp=emsU.PATH+\"/%s/N72KH_combined_%s/\" %(emsU.FLIGHTDATE,emsU.FLIGHTDATE)\n",
|
||||
"cmd=\"ls -skS '%s' | grep N.TXT\" % (sp)\n",
|
||||
"logs=subprocess.check_output(cmd, shell=True)\n",
|
||||
"print(logs.decode('utf8'))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"LOGCOUNT=int(len(logs.split())/2)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"**The default is the most recent log** \n",
|
||||
"**edit the LOG number here to use a different log**"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"LOGNUM=LOGCOUNT-1"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"d=emsU.get_df(emsU.PATH+\"/%s/N72KH_EMS_%s/LOG000%sN_E.csv\" % (emsU.FLIGHTDATE,emsU.FLIGHTDATE,LOGNUM))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%matplotlib inline"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"plt.rcParams[\"figure.figsize\"]= (30,10)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"emsU.pd.Timestamp(emsU.FLIGHTDATE)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"wrapped,index = emsU.check_newday(d)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"if wrapped:\n",
|
||||
" print(\"day wrapped at %d\" % index)\n",
|
||||
" d=emsU.fix_newday(d,index)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"d=emsU.add_elapsed(d)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#d.head(emsU.sv+2)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"emsU.plot_FUEL(d)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"emsU.plot_RPM(d)\n",
|
||||
"plt.grid()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"emsU.plot_EGTdt(d)\n",
|
||||
"plt.grid()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"emsU.plot_EGT(d)\n",
|
||||
"plt.grid()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"emsU.plot_CHTdt(d)\n",
|
||||
"plt.grid()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"print(\"flight time\")\n",
|
||||
"print(d.index[-1])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"emsU.sv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"d.info()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"lines_to_next_cell": 0
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#t=emsU.pd.Series([val.time() for val in d['TIME']])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"lines_to_next_cell": 2
|
||||
},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"jupytext": {
|
||||
"formats": "ipynb,py:light"
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"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": "3.7.10"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
@@ -0,0 +1,116 @@
|
||||
# ---
|
||||
# jupyter:
|
||||
# jupytext:
|
||||
# formats: ipynb,py:light
|
||||
# text_representation:
|
||||
# extension: .py
|
||||
# format_name: light
|
||||
# format_version: '1.5'
|
||||
# jupytext_version: 1.14.1
|
||||
# kernelspec:
|
||||
# display_name: Python 3 (ipykernel)
|
||||
# language: python
|
||||
# name: python3
|
||||
# ---
|
||||
|
||||
# ## EMS Processing
|
||||
|
||||
# +
|
||||
# comment whole cell by selecting all lines, then CTRL+/
|
||||
# -
|
||||
|
||||
import sys
|
||||
sys.path.append('../../../programs')
|
||||
|
||||
from pathlib import Path
|
||||
|
||||
# +
|
||||
# # debug paths
|
||||
# import os
|
||||
# os.getcwd()
|
||||
# -
|
||||
|
||||
import subprocess
|
||||
|
||||
import datetime
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
import ems_plot_util_nb as emsU
|
||||
|
||||
# Notebook name starts with YYYYMMDD_ so sort by name is in date order\
|
||||
# Data is unpacked in a directory named DDmonYYYY/
|
||||
|
||||
# +
|
||||
# fname_date="20200207"
|
||||
# dt=datetime.datetime.strptime(fname_date,"%Y%m%d")
|
||||
# date=dt.strftime("%-d%b%Y")
|
||||
# print(date)
|
||||
# emsU.FLIGHTDATE=date
|
||||
# -
|
||||
|
||||
#get the date from the directory
|
||||
import os
|
||||
emsU.FLIGHTDATE=os.getcwd().split('/')[-1]
|
||||
emsU.PATH=os.fspath(Path(*Path(os.getcwd()).parts[:-1]))
|
||||
print(emsU.PATH)
|
||||
print(emsU.FLIGHTDATE)
|
||||
|
||||
sp=emsU.PATH+"/%s/N72KH_combined_%s/" %(emsU.FLIGHTDATE,emsU.FLIGHTDATE)
|
||||
cmd="ls -skS '%s' | grep N.TXT" % (sp)
|
||||
logs=subprocess.check_output(cmd, shell=True)
|
||||
print(logs.decode('utf8'))
|
||||
|
||||
LOGCOUNT=int(len(logs.split())/2)
|
||||
|
||||
# **The default is the most recent log**
|
||||
# **edit the LOG number here to use a different log**
|
||||
|
||||
LOGNUM=LOGCOUNT-1
|
||||
|
||||
d=emsU.get_df(emsU.PATH+"/%s/N72KH_EMS_%s/LOG000%sN_E.csv" % (emsU.FLIGHTDATE,emsU.FLIGHTDATE,LOGNUM))
|
||||
|
||||
# %matplotlib inline
|
||||
|
||||
plt.rcParams["figure.figsize"]= (30,10)
|
||||
|
||||
emsU.pd.Timestamp(emsU.FLIGHTDATE)
|
||||
|
||||
wrapped,index = emsU.check_newday(d)
|
||||
|
||||
if wrapped:
|
||||
print("day wrapped at %d" % index)
|
||||
d=emsU.fix_newday(d,index)
|
||||
|
||||
d=emsU.add_elapsed(d)
|
||||
|
||||
# +
|
||||
#d.head(emsU.sv+2)
|
||||
# -
|
||||
|
||||
emsU.plot_FUEL(d)
|
||||
|
||||
emsU.plot_RPM(d)
|
||||
plt.grid()
|
||||
|
||||
emsU.plot_EGTdt(d)
|
||||
plt.grid()
|
||||
|
||||
emsU.plot_EGT(d)
|
||||
plt.grid()
|
||||
|
||||
emsU.plot_CHTdt(d)
|
||||
plt.grid()
|
||||
|
||||
print("flight time")
|
||||
print(d.index[-1])
|
||||
|
||||
emsU.sv
|
||||
|
||||
d.info()
|
||||
|
||||
# +
|
||||
#t=emsU.pd.Series([val.time() for val in d['TIME']])
|
||||
# -
|
||||
|
||||
|
||||
Executable
+12
@@ -0,0 +1,12 @@
|
||||
#!/bin/sh
|
||||
# run: . walk_logs.sh ddmmmyyyy
|
||||
|
||||
#cd ../../programs/
|
||||
pushd ../../programs/
|
||||
python walk_logs.py $1
|
||||
popd
|
||||
|
||||
# TODO: make this scriptable!
|
||||
# jupyter nbconvert --to notebook --execute date_efis.ipynb
|
||||
# jupyter nbconvert --to notebook --execute date_ems.ipynb
|
||||
|
||||
Reference in New Issue
Block a user