{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import os\n", "import pandas as pd\n", "\n", "from bestiapop import bestiapop\n", "\n", "#Extend screen\n", "from IPython.core.display import display, HTML\n", "display(HTML(\"\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Working with lists of lat/lon combinations\n", "\n", "In this example we will download climate data based off a list of lat/lon datapoints\n", "\n", "### Define your climate extraction variables\n", "\n", "We need to define the scope of what type of data and output we expect from BestiaPop.\n", "\n", "> **NOTE**: the `coordinate_list` variable contains lists of lat/lon pairs where the first value is `latitutde` and the second value is `longitude`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example: getting climate data for the entire potato production areas of Tasmania, Australia \n", "\n", "In this example we retrieved 1724 grids of 5 km resolution from SILO. This lat/lon combinations were masked for the entire potato production areas in Tasmania, Australia. Then we put it in a dataframe and work with the data to create statistical summary and maps of each climate variable." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "# Define variables to pass in to Bestiapop\n", "\n", "#You need to host your lat/lon list in some web server like GitHub and then provide the url. This example is using a csv hosted in our GitHub repo (sample-data)\n", "from csv import reader\n", "url = \"https://raw.githubusercontent.com/JJguri/bestiapop/master/sample-data/bpop_tassie_example.csv\" #specify url\n", "df = pd.read_csv(url)\n", "coordinate_list = df.values.tolist()\n", "action='generate-climate-file' #specify action\n", "data_source='nasapower' #specify dta source\n", "year_range='2019-2020' #specify range of years\n", "climate_variables=['radiation', 'max_temp', 'min_temp', 'daily_rain'] #specify climate variables\n", "output_type='dataframe'\n", "output_path=None" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Get MET filed directly in your computer\n", "\n", "# #You need to host your lat/lon list in some web server like GitHub and then provide the url. This example is using a csv hosted in our GitHub repo (sample-data)\n", "# from csv import reader\n", "# url = \"https://raw.githubusercontent.com/JJguri/bestiapop/master/sample-data/purdue.csv\" #specify url\n", "# df = pd.read_csv(url)\n", "# coordinate_list = df.values.tolist()\n", "# action='generate-climate-file' #specify action\n", "# data_source='nasapower' #specify dta source\n", "# year_range='2019-2020' #specify range of years\n", "# climate_variables=['radiation', 'max_temp', 'min_temp', 'daily_rain'] #specify climate variables\n", "# output_type='met'\n", "# output_path=r'C:\\Users\\uqjojeda\\Dropbox\\github\\ClimateDataAutomation\\sample-data'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Instantiate and run BestiaPop\n", "\n", "In this instance we will iterate over the lat/lon combinations" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m2021-04-12 15:31:49\u001b[0m - \u001b[34mPOPBEAST\u001b[0m - Extracting data and converting to met format\n", "\u001b[32m2021-04-12 15:31:49\u001b[0m - \u001b[34mPOPBEAST.NASAPOWER_CONNECTOR\u001b[0m - \u001b[32mGenerating DataFrames\u001b[0m\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Fetching data for 40.297382/-86.901067\n", "Total Progress: 0%| | 0/1 [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
\n", "" ], "text/plain": [ "Empty DataFrame\n", "Columns: []\n", "Index: []" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_df = pd.DataFrame()\n", "\n", "for coord in coordinate_list:\n", " print('Fetching data for {}/{}'.format(coord[0], coord[1]))\n", " climate_data = bestiapop.CLIMATEBEAST(\n", " action='generate_met',\n", " data_source=data_source,\n", " output_path=output_path,\n", " output_type=output_type,\n", " input_path=None,\n", " climate_variables=climate_variables,\n", " year_range=year_range,\n", " lat_range=[coord[0]],\n", " lon_range=[coord[1]],\n", " multiprocessing=None\n", " )\n", " data = climate_data.process_records(action)\n", " final_df = final_df.append(data, ignore_index=True)\n", "\n", "# Show the final dataframe\n", "final_df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Calculating yearly statistics\n", "\n", "Let's calculate some statistics base on the climate data we retrieved from SILO\n", "\n", "> NOTE: here we presente the sum of rain and radiation and the mean of daily minimum and maximum temperature across years. You can change the parameters you want to get lookin at the [GroupBy](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html) documentation." ] }, { "cell_type": "code", "execution_count": 96, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
radnmaxtmintrain
lonlatyear
143.85-40.0519914876.816.610.21020.9
19924663.216.210.01399.2
19934901.016.910.5922.1
19945016.216.610.0870.2
19954913.916.39.5765.7
.....................
148.45-40.4020165105.718.111.9961.0
20175356.217.911.5633.9
20184942.918.011.6709.5
20195088.617.911.2585.0
20204664.017.511.1741.3
\n", "

51660 rows × 4 columns

\n", "
" ], "text/plain": [ " radn maxt mint rain\n", "lon lat year \n", "143.85 -40.05 1991 4876.8 16.6 10.2 1020.9\n", " 1992 4663.2 16.2 10.0 1399.2\n", " 1993 4901.0 16.9 10.5 922.1\n", " 1994 5016.2 16.6 10.0 870.2\n", " 1995 4913.9 16.3 9.5 765.7\n", "... ... ... ... ...\n", "148.45 -40.40 2016 5105.7 18.1 11.9 961.0\n", " 2017 5356.2 17.9 11.5 633.9\n", " 2018 4942.9 18.0 11.6 709.5\n", " 2019 5088.6 17.9 11.2 585.0\n", " 2020 4664.0 17.5 11.1 741.3\n", "\n", "[51660 rows x 4 columns]" ] }, "execution_count": 96, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#calculate yearly mean of mint and maxt (degree C) and cummulative radn (MJ m-2) and rain (mm) during across years and lat/lon combinations\n", "mini = final_df.groupby(['lon','lat','year'], as_index=True)['maxt'].mean().round(decimals=1)\n", "maxi = final_df.groupby(['lon','lat','year'], as_index=True)['mint'].mean().round(decimals=1)\n", "radn = final_df.groupby(['lon','lat','year'], as_index=True)['radn'].sum().round(decimals=1)\n", "rain = final_df.groupby(['lon','lat','year'], as_index=True)['rain'].sum().round(decimals=1)\n", "st0 = pd.merge(radn, mini, on=(['lon','lat','year']), how='outer')\n", "st00 = pd.merge(maxi, rain, on=(['lon','lat','year']), how='outer')\n", "st_final = pd.merge(st0, st00, on=(['lon','lat','year']), how='outer')\n", "st_final\n", "\n", "#Save the statistical summary in the current dir\n", "#st_final.to_csv(os.getcwd())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## This code re-structure the datasets before mapping" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [], "source": [ "#Preparinf dataset to plot\n", "radnrain = final_df.groupby(['lat', 'lon','year'],as_index=True).sum()\n", "temp = final_df.groupby(['lat', 'lon','year'],as_index=True).mean()\n", "#Reseting index\n", "Pre_nc = radnrain.reset_index()\n", "#Set indexes\n", "Pre_nc.set_index(['lat', 'lon', 'year'], inplace=True)\n", "df1 = Pre_nc[~Pre_nc.index.duplicated(keep='first')]\n", "#From 2D dataframe to xarray\n", "nc_r = df1.to_xarray()\n", "#Reseting index\n", "Pre_nc2 = temp.reset_index()\n", "#Set indexes\n", "Pre_nc2.set_index(['lat', 'lon', 'year'], inplace=True)\n", "df2 = Pre_nc2[~Pre_nc2.index.duplicated(keep='first')]\n", "#From 2D dataframe to xarray\n", "nc_t = df2.to_xarray()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Mapping rainfall\n", "\n", "> NOTE: Each 5 km grid represents the mean (across years) of cumulative rainfall during the year" ] }, { "cell_type": "code", "execution_count": 93, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#Packages required for the mapping functions\n", "from matplotlib import pyplot as plt\n", "import cartopy.crs as ccrs\n", "import matplotlib as mpl\n", "import cartopy.feature as cfeature\n", "import matplotlib.ticker as mticker\n", "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", "\n", "#Plotting single map with cumulative rain during the year <--update central longitude in 'projection=ccrs.Mercator(' accordingly with the region of interest\n", "fig, ax = plt.subplots(1, 1, subplot_kw=dict(projection=ccrs.Mercator(central_longitude=146)),figsize=(10,8))\n", "p=nc_r.rain.mean(dim=('year'), skipna=True).plot(x='lon', y='lat', transform=ccrs.PlateCarree(central_longitude=0),\n", "robust=True, cmap=mpl.cm.RdYlBu, zorder=1, add_colorbar=False)\n", "\n", "#Arranguing features, borders and axis labels \n", "gl=ax.gridlines(crs=ccrs.PlateCarree(), linewidth=0.01, color='w', alpha=0, linestyle='-', draw_labels=True,dms=True, x_inline=False, y_inline=False)\n", "ax.add_feature(cfeature.COASTLINE, edgecolor = \"grey\", linewidth=2)\n", "ax.add_feature(cfeature.STATES, edgecolor = \"grey\", linewidth=0.3, zorder=1)\n", "ax.add_feature(cfeature.OCEAN, color='white', zorder=2)\n", "ax.add_feature(cfeature.LAKES, color='white', zorder=1.5)\n", "ax.add_feature(cfeature.BORDERS, edgecolor = \"grey\", color='grey', linewidth=1)\n", "\n", "#you will need to update the 3 following lines accordingly with the region of interest\n", "ax.set_extent([143.6, 148.8, -43.8, -39.5], crs=ccrs.PlateCarree())\n", "gl.xlocator = mticker.FixedLocator([144, 146, 148])\n", "gl.ylocator = mticker.FixedLocator([-40, -41, -42,-43])\n", "gl.xlabels_top = False\n", "gl.ylabels_right = False\n", "gl.xformatter = LONGITUDE_FORMATTER\n", "gl.yformatter = LATITUDE_FORMATTER\n", "gl.xlabel_style = {'size': 17, 'color': 'k'}\n", "gl.ylabel_style = {'size': 17, 'color': 'k'}\n", "ax.outline_patch.set_visible(False)\n", "ax.spines['left'].set_visible(True) \n", "ax.spines['bottom'].set_visible(True)\n", "\n", "#Setting colorbar attributes\n", "cb = plt.colorbar(p, orientation=\"vertical\", pad=0.02, shrink=0.9)\n", "cb.set_label(label='Rain (mm)', size='xx-large', weight='bold')\n", "cb.ax.tick_params(labelsize='xx-large')\n", "\n", "#Save the map to the current directory\n", "#plt.savefig(os.getcwd(), dpi=600, bbox_inches='tight', pad_inches=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Mapping solar radiation\n", "\n", "> NOTE: Each 5 km grid represents the mean (across years) of cumulative solar dariation during the year" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#Packages required for the mapping functions\n", "from matplotlib import pyplot as plt\n", "import cartopy.crs as ccrs\n", "import matplotlib as mpl\n", "import cartopy.feature as cfeature\n", "import matplotlib.ticker as mticker\n", "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", "\n", "#Plotting single map with cumulative rain during the year <--update central longitude in 'projection=ccrs.Mercator(' accordingly with the region of interest\n", "fig, ax = plt.subplots(1, 1, subplot_kw=dict(projection=ccrs.Mercator(central_longitude=146)),figsize=(10,8))\n", "p=nc_r.radn.mean(dim=('year'), skipna=True).plot(x='lon', y='lat', transform=ccrs.PlateCarree(central_longitude=0),\n", "robust=True, cmap=mpl.cm.YlOrBr_r, zorder=1, add_colorbar=False)\n", "\n", "#Arranguing features, borders and axis labels \n", "gl=ax.gridlines(crs=ccrs.PlateCarree(), linewidth=0.01, color='w', alpha=0, linestyle='-', draw_labels=True,dms=True, x_inline=False, y_inline=False)\n", "ax.add_feature(cfeature.COASTLINE, edgecolor = \"grey\", linewidth=2)\n", "ax.add_feature(cfeature.STATES, edgecolor = \"grey\", linewidth=0.3, zorder=1)\n", "ax.add_feature(cfeature.OCEAN, color='white', zorder=2)\n", "ax.add_feature(cfeature.LAKES, color='white', zorder=1.5)\n", "ax.add_feature(cfeature.BORDERS, edgecolor = \"grey\", color='grey', linewidth=1)\n", "\n", "#you will need to update the 3 following lines accordingly with the region of interest\n", "ax.set_extent([143.6, 148.8, -43.8, -39.5], crs=ccrs.PlateCarree())\n", "gl.xlocator = mticker.FixedLocator([144, 146, 148])\n", "gl.ylocator = mticker.FixedLocator([-40, -41, -42,-43])\n", "gl.xlabels_top = False\n", "gl.ylabels_right = False\n", "gl.xformatter = LONGITUDE_FORMATTER\n", "gl.yformatter = LATITUDE_FORMATTER\n", "gl.xlabel_style = {'size': 17, 'color': 'k'}\n", "gl.ylabel_style = {'size': 17, 'color': 'k'}\n", "ax.outline_patch.set_visible(False)\n", "ax.spines['left'].set_visible(True) \n", "ax.spines['bottom'].set_visible(True)\n", "\n", "#Setting colorbar attributes\n", "cb = plt.colorbar(p, orientation=\"vertical\", pad=0.02, shrink=0.9)\n", "cb.set_label(label='Solar Radiation ($MJ\\,m^{-2}$)', size='xx-large', weight='bold')\n", "cb.ax.tick_params(labelsize='xx-large')\n", "\n", "#Save the map to the current directory\n", "#plt.savefig(os.getcwd(), dpi=600, bbox_inches='tight', pad_inches=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Mapping minimum temperature\n", "\n", "> NOTE: Each 5 km grid represents the mean (across years) of the mean minimum temperature during the year" ] }, { "cell_type": "code", "execution_count": 91, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#Packages required for the mapping functions\n", "from matplotlib import pyplot as plt\n", "import cartopy.crs as ccrs\n", "import matplotlib as mpl\n", "import cartopy.feature as cfeature\n", "import matplotlib.ticker as mticker\n", "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", "\n", "#Plotting single map with cumulative rain during the year <--update central longitude in 'projection=ccrs.Mercator(' accordingly with the region of interest\n", "fig, ax = plt.subplots(1, 1, subplot_kw=dict(projection=ccrs.Mercator(central_longitude=146)),figsize=(10,8))\n", "p=nc_t.mint.mean(dim=('year'), skipna=True).plot(x='lon', y='lat', transform=ccrs.PlateCarree(central_longitude=0),\n", "robust=True, cmap=mpl.cm.RdYlBu_r, zorder=1, add_colorbar=False)\n", "\n", "#Arranguing features, borders and axis labels \n", "gl=ax.gridlines(crs=ccrs.PlateCarree(), linewidth=0.01, color='w', alpha=0, linestyle='-', draw_labels=True,dms=True, x_inline=False, y_inline=False)\n", "ax.add_feature(cfeature.COASTLINE, edgecolor = \"grey\", linewidth=2)\n", "ax.add_feature(cfeature.STATES, edgecolor = \"grey\", linewidth=0.3, zorder=1)\n", "ax.add_feature(cfeature.OCEAN, color='white', zorder=2)\n", "ax.add_feature(cfeature.LAKES, color='white', zorder=1.5)\n", "ax.add_feature(cfeature.BORDERS, edgecolor = \"grey\", color='grey', linewidth=1)\n", "\n", "#you will need to update the 3 following lines accordingly with the region of interest\n", "ax.set_extent([143.6, 148.8, -43.8, -39.5], crs=ccrs.PlateCarree())\n", "gl.xlocator = mticker.FixedLocator([144, 146, 148])\n", "gl.ylocator = mticker.FixedLocator([-40, -41, -42,-43])\n", "gl.xlabels_top = False\n", "gl.ylabels_right = False\n", "gl.xformatter = LONGITUDE_FORMATTER\n", "gl.yformatter = LATITUDE_FORMATTER\n", "gl.xlabel_style = {'size': 17, 'color': 'k'}\n", "gl.ylabel_style = {'size': 17, 'color': 'k'}\n", "ax.outline_patch.set_visible(False)\n", "ax.spines['left'].set_visible(True) \n", "ax.spines['bottom'].set_visible(True)\n", "\n", "#Setting colorbar attributes\n", "cb = plt.colorbar(p, orientation=\"vertical\", pad=0.02, shrink=0.9)\n", "cb.set_label(label='Minimum Temperature ($^{\\circ}$C)', size='xx-large', weight='bold')\n", "cb.ax.tick_params(labelsize='xx-large')\n", "\n", "#Save the map to the current directory\n", "#plt.savefig(os.getcwd(), dpi=600, bbox_inches='tight', pad_inches=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Mapping minimum temperature\n", "\n", "> NOTE: Each 5 km grid represents the mean (across years) of the mean maximum temperature during the year" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#Packages required for the mapping functions\n", "from matplotlib import pyplot as plt\n", "import cartopy.crs as ccrs\n", "import matplotlib as mpl\n", "import cartopy.feature as cfeature\n", "import matplotlib.ticker as mticker\n", "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", "\n", "#Plotting single map with cumulative rain during the year <--update central longitude in 'projection=ccrs.Mercator(' accordingly with the region of interest\n", "fig, ax = plt.subplots(1, 1, subplot_kw=dict(projection=ccrs.Mercator(central_longitude=146)),figsize=(10,8))\n", "p=nc_t.maxt.mean(dim=('year'), skipna=True).plot(x='lon', y='lat', transform=ccrs.PlateCarree(central_longitude=0),\n", "robust=True, cmap=mpl.cm.RdYlBu_r, zorder=1, add_colorbar=False)\n", "\n", "#Arranguing features, borders and axis labels \n", "gl=ax.gridlines(crs=ccrs.PlateCarree(), linewidth=0.01, color='w', alpha=0, linestyle='-', draw_labels=True,dms=True, x_inline=False, y_inline=False)\n", "ax.add_feature(cfeature.COASTLINE, edgecolor = \"grey\", linewidth=2)\n", "ax.add_feature(cfeature.STATES, edgecolor = \"grey\", linewidth=0.3, zorder=1)\n", "ax.add_feature(cfeature.OCEAN, color='white', zorder=2)\n", "ax.add_feature(cfeature.LAKES, color='white', zorder=1.5)\n", "ax.add_feature(cfeature.BORDERS, edgecolor = \"grey\", color='grey', linewidth=1)\n", "\n", "#you will need to update the 3 following lines accordingly with the region of interest\n", "ax.set_extent([143.6, 148.8, -43.8, -39.5], crs=ccrs.PlateCarree())\n", "gl.xlocator = mticker.FixedLocator([144, 146, 148])\n", "gl.ylocator = mticker.FixedLocator([-40, -41, -42,-43])\n", "gl.xlabels_top = False\n", "gl.ylabels_right = False\n", "gl.xformatter = LONGITUDE_FORMATTER\n", "gl.yformatter = LATITUDE_FORMATTER\n", "gl.xlabel_style = {'size': 17, 'color': 'k'}\n", "gl.ylabel_style = {'size': 17, 'color': 'k'}\n", "ax.outline_patch.set_visible(False)\n", "ax.spines['left'].set_visible(True) \n", "ax.spines['bottom'].set_visible(True)\n", "\n", "#Setting colorbar attributes\n", "cb = plt.colorbar(p, orientation=\"vertical\", pad=0.02, shrink=0.9)\n", "cb.set_label(label='Maximum Temperature ($^{\\circ}$C)', size='xx-large', weight='bold')\n", "cb.ax.tick_params(labelsize='xx-large')\n", "\n", "#Save the map to the current directory\n", "#plt.savefig(os.getcwd(), dpi=600, bbox_inches='tight', pad_inches=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Zip the generated MET files ans maps & Download them\n", "\n", "Let's now grab all the MET files and maps and compress them. We need to get rid of the ocasional minus sign at the beginning of some \n", "MET files (depending on your lat/lon range), because `tar` does not do well with such filenames. In any case, this code should work for you.\n", "\n", "> NOTE: make sure to change the extension of the file, depending on which format you chose for the output." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bpop_tassie_example.csv\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "mv: cannot stat '*.met': No such file or directory\n" ] } ], "source": [ "%%bash\n", "for f in *.met; do\n", " mv -- \"$f\" \"bpop.${f}\"\n", "done\n", "\n", "tar chvfz bestiapop_files.tar.gz bpop*" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Search for your file by clicking `file --> open` in the top left menu of this JupterNotebook. You can download the compressed file and unzip in your own machine (we recommend you use `7zip` if using a Windows machine)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![files.png](img/files.png)" ] } ], "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": "3.8.8" } }, "nbformat": 4, "nbformat_minor": 4 }