change the space weather file from 'SW-ALL.txt' to 'SW-ALL.csv'

.ipynb_checkpoints/test-checkpoint.ipynb

@@ -0,0 +1,248 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Welcome to ATMOS\n",
+    "\n",
+    "This package is an archive of scientific routines that estimates the vertical structure of atmosphere with various *atmospheric density models*, such as **Exponential**(-0.611\\~1000 km), **COESA76**(-0.611\\~1000 km), **NRLMSISE-00**(0\\~2000 km), and **JB2008**(90\\~2500 km). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How to install\n",
+    "\n",
+    "On Linux, macOS and Windows architectures, the binary wheels can be installed using pip by executing one of the following commands:\n",
+    "\n",
+    "```python\n",
+    "pip install pyatmos\n",
+    "pip install pyatmos --upgrade # to upgrade a pre-existing installation\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How to use"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Exponential"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    ">>> from pyatmos import expo\n",
+    ">>> expo_geom = expo([0,20,40,60,80]) # geometric altitudes by default\n",
+    ">>> print(expo_geom.rho) # [kg/m^3]\n",
+    ">>> # expo_geop = expo([0,20,40,60,80],'geopotential') # geopotential altitudes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### COESA 1976"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    ">>> from pyatmos import coesa76\n",
+    ">>> coesa76_geom = coesa76([0,20,40,60,80]) # geometric altitudes by default\n",
+    ">>> print(coesa76_geom.rho) # [kg/m^3]\n",
+    ">>> print(coesa76_geom.T) # [K]\n",
+    ">>> print(coesa76_geom.P) # [Pa]\n",
+    ">>> # coesa76_geop = coesa76([0,20,40,60,80],'geopotential') # geopotential altitudes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### NRLMSISE-00"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*Before using NRLMSISE-00, the space weather data needs to be prepared in advance.*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The Space Weather file 'SW-All.csv' in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
+     ]
+    }
+   ],
+   "source": [
+    ">>> from pyatmos import download_sw_nrlmsise00,read_sw_nrlmsise00\n",
+    ">>> # Download or update the space weather file from www.celestrak.com\n",
+    ">>> swfile = download_sw_nrlmsise00() \n",
+    ">>> # Read the space weather data\n",
+    ">>> swdata = read_sw_nrlmsise00(swfile) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.714115212984513e-14\n",
+      "765.8976564552341\n",
+      "{'He': 645851224907.2849, 'O': 456706971423.5056, 'N2': 531545420.00015724, 'O2': 2681352.1654067687, 'Ar': 406.9308900607773, 'H': 157249711103.90558, 'N': 6759664327.87355, 'ANM O': 10526544596.059282}\n"
+     ]
+    }
+   ],
+   "source": [
+    ">>> from pyatmos import nrlmsise00\n",
+    ">>> # Set a specific time and location\n",
+    ">>> t = '2014-07-22 22:18:45' # time(UTC) \n",
+    ">>> lat,lon,alt = 25,102,600 # latitude, longitude in [degree], and altitude in [km]\n",
+    ">>> nrl00 = nrlmsise00(t,(lat,lon,alt),swdata)\n",
+    ">>> print(nrl00.rho) # [kg/m^3]\n",
+    ">>> print(nrl00.T) # [K]\n",
+    ">>> print(nrl00.nd) # composition in [1/m^3]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### JB2008"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*Before using JB2008, the space weather data needs to be prepared in advance.*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    ">>> from pyatmos import download_sw_jb2008,read_sw_jb2008\n",
+    ">>> # Download or update the space weather file from https://sol.spacenvironment.net\n",
+    ">>> swfile = download_sw_jb2008() \n",
+    ">>> # Read the space weather data\n",
+    ">>> swdata = read_sw_jb2008(swfile) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    ">>> from pyatmos import jb2008\n",
+    ">>> # Set a specific time and location\n",
+    ">>> t = '2014-07-22 22:18:45' # time(UTC) \n",
+    ">>> lat,lon,alt = 25,102,600 # latitude, longitude in [degree], and altitude in [km]\n",
+    ">>> jb08 = jb2008(t,(lat,lon,alt),swdata)\n",
+    ">>> print(jb08.rho) # [kg/m^3]\n",
+    ">>> print(jb08.T) # [K]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Change log\n",
+    "\n",
+    "- **1.2.3 — Jun 7, 2021**\n",
+    "  - Added atmospheric models **JB2008**\n",
+    "  - Changed the output of the result to an instance\n",
+    "  - Improved the code structure for NRLMSISE-00, and the running speed is nearly threefold\n",
+    "- **1.2.1 — Jan 22, 2021**\n",
+    "  - Added **Exponential Atmosphere** up to 1000 km\n",
+    "  - Added **Committee on Extension to the Standard Atmosphere(COESA)** up to 1000 km\n",
+    "  - Completed part of the help documentation for NRLMSISE-00\n",
+    "  - Improved the code structure to make it easier to read\n",
+    "- **1.1.2 — Jul 26, 2020**\n",
+    "  - Added colored-progress bar for downloading data\n",
+    "- **1.1.0 — Mar 29,  2020**\n",
+    "  - Added the International Standard Atmosphere(ISA) Model up to 86kms   \n",
+    "\n",
+    "## Next release\n",
+    "\n",
+    "- Complete the help documentation for NRLMSISE-00\n",
+    "- Add other atmospheric models, such as the **Earth Global Reference Atmospheric Model(Earth-GRAM) 2016**, and the **Jacchia-Bowman 2008 Empirical Thermospheric Density Model(JB2008)**\n",
+    "\n",
+    "## Reference\n",
+    "\n",
+    "- U.S. Standard Atmosphere, 1976, U.S. Government Printing Office, Washington, D.C. \n",
+    "- [Public Domain Aeronautical Software](http://www.pdas.com/atmos.html) \n",
+    "- https://gist.github.com/buzzerrookie/5b6438c603eabf13d07e\n",
+    "- https://ww2.mathworks.cn/help/aerotbx/ug/atmosisa.html\n",
+    "- [Original Fortran and C code](https://ccmc.gsfc.nasa.gov/pub/modelweb/atmospheric/msis/)\n",
+    "- [MSISE-00 in Python and Matlab](https://github.com/space-physics/msise00)\n",
+    "- [NRLMSISE-00 Atmosphere Model - Matlab](https://ww2.mathworks.cn/matlabcentral/fileexchange/56253-nrlmsise-00-atmosphere-model?requestedDomain=zh)\n",
+    "- [NRLMSISE-00 Atmosphere Model - Aerospace Blockset](https://www.mathworks.com/help/aeroblks/nrlmsise00atmospheremodel.html?requestedDomain=)\n",
+    "- [NRLMSISE-00 Atmosphere Model - CCMC](https://ccmc.gsfc.nasa.gov/modelweb/models/nrlmsise00.php)\n",
+    "- [NRLMSISE-00 empirical model of the atmosphere: Statistical comparisons and scientific issues](http://onlinelibrary.wiley.com/doi/10.1029/2002JA009430/pdf)\n",
+    "- [ATMOSPHERIC MODELS](http://www.braeunig.us/space/atmmodel.htm)\n",
+    "- [poliastro-Atmosphere module](https://docs.poliastro.space/en/latest/autoapi/poliastro/earth/atmosphere/index.html?highlight=poliastro.earth.atmosphere)\n",
+    "- [ATMOSPHERE API](https://amentum.com.au/atmosphere)\n",
+    "- [COSPAR International Reference Atmosphere - 2012](https://spacewx.com/wp-content/uploads/2021/03/chapters_1_3.pdf)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "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": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

LICENSE.txt

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2019-2021 Chunxiao Li
+Copyright (c) 2019-2023 Chunxiao Li
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -123,6 +123,10 @@ pip install pyatmos --upgrade # to upgrade a pre-existing installation
 ```
 
 ## Change log
+
+- **1.2.4 — Feb 16, 2023**
+  - Changed functions `read_sw_nrlmsise00` and `get_sw` due to the space weather file changed from 'SW-ALL.txt' to 'SW-ALL.csv'
+  - Deleted the colored-progress bar for downloading space weather file, and use `wget` instead.
 - **1.2.3 — Jun 7, 2021**
   - Added atmospheric models **JB2008**
   - Changed the output of the result to an instance
@@ -158,4 +162,3 @@ pip install pyatmos --upgrade # to upgrade a pre-existing installation
 - [poliastro-Atmosphere module](https://docs.poliastro.space/en/latest/autoapi/poliastro/earth/atmosphere/index.html?highlight=poliastro.earth.atmosphere)
 - [ATMOSPHERE API](https://amentum.com.au/atmosphere)
 - [COSPAR International Reference Atmosphere - 2012](https://spacewx.com/wp-content/uploads/2021/03/chapters_1_3.pdf)
-

pyatmos/jb2008/spaceweather.py

@@ -3,7 +3,7 @@ from datetime import datetime,timedelta
 from os import path,makedirs,remove
 from pathlib import Path
 
-from ..utils.try_download import tqdm_request
+from ..utils.try_download import wget_download
 from ..utils import Const
 
 def download_sw_jb2008(direc=None):
@@ -37,21 +37,21 @@ def download_sw_jb2008(direc=None):
 
     if not path.exists(direc): makedirs(direc)
     if not path.exists(swfile1):
-        desc1 = "Downloading the space weather data '{:s}' from Space Environment Technologies(SET)".format('SOLFSMY.TXT')
+        desc1 = "Downloading the Space Weather file '{:s}' from Space Environment Technologies(SET)".format('SOLFSMY.TXT')
-        desc2 = "Downloading the space weather data '{:s}' from Space Environment Technologies(SET)".format('DTCFILE.TXT')
+        desc2 = "Downloading the Space Weather file '{:s}' from Space Environment Technologies(SET)".format('DTCFILE.TXT')
-        tqdm_request(url1,direc,'SOLFSMY.TXT',desc1)
+        wget_download(url1,swfile1,desc1)
-        tqdm_request(url2,direc,'DTCFILE.TXT',desc2)
+        wget_download(url2,swfile2,desc2)
     else:
         modified_time = datetime.fromtimestamp(path.getmtime(swfile1))
         if datetime.now() > modified_time + timedelta(days=1):
             remove(swfile1)
             remove(swfile2)
-            desc1 = "Updating the space weather data '{:s}' from Space Environment Technologies(SET)".format('SOLFSMY.TXT')
+            desc1 = "Updating the Space weather data '{:s}' from Space Environment Technologies(SET)".format('SOLFSMY.TXT')
-            desc2 = "Updating the space weather data '{:s}' from Space Environment Technologies(SET)".format('DTCFILE.TXT')
+            desc2 = "Updating the Space weather data '{:s}' from Space Environment Technologies(SET)".format('DTCFILE.TXT')
-            tqdm_request(url1,direc,'SOLFSMY.TXT',desc1)   
+            wget_download(url1,swfile1,desc1)
-            tqdm_request(url2,direc,'DTCFILE.TXT',desc2)  
+            wget_download(url2,swfile2,desc2)
         else:
-            print("The space weather data '{0:s}' and '{1:s}' in {2:s} is already the latest.".format('SOLFSMY.TXT','DTCFILE.TXT',direc))   
+            print("The Space Weather files '{:s}' and '{:s}' in {:s} are already the latest.".format('SOLFSMY.TXT','DTCFILE.TXT',direc))   
     return [swfile1,swfile2]
  
 def read_sw_jb2008(swfile):

pyatmos/msise/nrlmsise00.py

@@ -51,9 +51,8 @@ def nrlmsise00(t,location,SW_OBS_PRE,aphmode=True):
     alt = h
         
     t = Time(t)
-    lon_wrap = wraplon(lon)
+    t_ymd = t.isot.split('T')[0]
     t_yday = t.yday.split(':')
-    t_ymd = t.iso.split()[0].split('-')
     year,doy = int(t_yday[0]),int(t_yday[1])
     hour,sec = hms_conver(int(t_yday[2]),int(t_yday[3]),float(t_yday[4]))
     lst = hour + wraplon(lon)/15
@@ -62,6 +61,7 @@ def nrlmsise00(t,location,SW_OBS_PRE,aphmode=True):
     else:
         f107A,f107,ap,aph = 150,150,4,np.full(7,4)
 
+    lon_wrap = wraplon(lon)
     inputp = {'doy':doy,'year':year,'sec':sec,'alt':alt,'g_lat':lat,'g_lon':lon_wrap,'lst':lst,\
               'f107A':f107A,'f107':f107,'ap':ap,'ap_a':aph}
     

pyatmos/msise/spaceweather.py

@@ -1,9 +1,10 @@
 import numpy as np
 from datetime import datetime,timedelta
+import pandas as pd
 from os import path,makedirs,remove
 from pathlib import Path
 
-from ..utils.try_download import tqdm_request
+from ..utils.try_download import wget_download
 
 def download_sw_nrlmsise00(direc=None):
     '''
@@ -27,21 +28,21 @@ def download_sw_nrlmsise00(direc=None):
         home = str(Path.home())
         direc = home + '/src/sw-data/'
     
-    swfile = direc + 'SW-All.txt'
+    swfile = direc + 'SW-All.csv'
-    url = 'https://www.celestrak.com/SpaceData/SW-All.txt'
+    url = 'https://www.celestrak.com/SpaceData/SW-All.csv'
 
     if not path.exists(direc): makedirs(direc)
     if not path.exists(swfile):
-        desc = "Downloading the space weather data '{:s}' from CELESTRAK".format('SW-All.txt')
+        desc = "Downloading the Space Weather file '{:s}' from CELESTRAK".format('SW-All.csv')
-        tqdm_request(url,direc,'SW-All.txt',desc)
+        wget_download(url,swfile,desc)
     else:
         modified_time = datetime.fromtimestamp(path.getmtime(swfile))
-        if datetime.now() > modified_time + timedelta(days=1):
+        if datetime.now() > modified_time + timedelta(days=7):
             remove(swfile)
-            desc = "Updating the space weather data '{:s}' from CELESTRAK".format('SW-All.txt')
+            desc = "Updating the Space Weather file '{:s}' from CELESTRAK".format('SW-All.csv')
-            tqdm_request(url,direc,'SW-All.txt',desc)   
+            wget_download(url,swfile,desc)  
         else:
-            print("The space weather data '{0:s}' in {1:s} is already the latest.".format('SW-All.txt',direc))   
+            print("The Space Weather file '{:s}' in {:s} is already the latest.".format('SW-All.csv',direc))   
     return swfile
 
 def read_sw_nrlmsise00(swfile):
@@ -49,7 +50,7 @@ def read_sw_nrlmsise00(swfile):
     Parse and read the space weather data
 
     Usage: 
-    sw_obs_pre = read_sw(swfile)
+    sw_obs_pre = read_sw_nrlmsise00(swfile)
 
     Inputs: 
     swfile -> [str] Path of the space weather data
@@ -58,7 +59,7 @@ def read_sw_nrlmsise00(swfile):
     sw_obs_pre -> [2d str array] Content of the space weather data
 
     Examples:
-    >>> swfile = 'sw-data/SW-All.txt'
+    >>> swfile = 'sw-data/SW-All.csv'
     >>> sw_obs_pre = read_sw(swfile)
     >>> print(sw_obs_pre)
     [['2020' '01' '07' ... '72.4' '68.0' '71.0']
@@ -68,37 +69,14 @@ def read_sw_nrlmsise00(swfile):
     ['1957' '10' '02' ... '253.3' '267.4' '231.7']
     ['1957' '10' '01' ... '269.3' '266.6' '230.9']]
     '''
-    sw_data = open(swfile,'r').readlines()
+    sw_df = pd.read_csv(swfile)  
-    SW_OBS,SW_PRE = [],[]
+    sw_df.dropna(subset=['C9'],inplace=True)
-    flag1 = flag2 = 0
+    # Sort from newest date to past
-    for line in sw_data:
+    sw_df.sort_values(by=['DATE'],ascending=False,inplace=True)
-        if line.startswith('BEGIN OBSERVED'): 
+    sw_df.reset_index(drop=True,inplace=True)
-            flag1 = 1
+    return sw_df
-            continue
-        if line.startswith('END OBSERVED'): flag1 = 0 
-        if flag1 == 1: 
-            sw_p = line.split()
-            if len(sw_p) == 30:
-                del sw_p[24]
-            elif len(sw_p) == 31: 
-                sw_p = np.delete(sw_p,[23,25]) 
-            else: 
-                sw_p = np.delete(sw_p,[23,24,25,27])
-            SW_OBS.append(sw_p)
 
-        if line.startswith('BEGIN DAILY_PREDICTED'): 
+def get_sw(sw_df,t_ymd,hour):
-            flag2 = 1
-            continue    
-        if line.startswith('END DAILY_PREDICTED'): break 
-        if flag2 == 1: SW_PRE.append(line.split())    
-    SW_OBS_PRE = np.vstack((np.array(SW_OBS),np.array(SW_PRE)))   
-    # inverse sort
-    SW_OBS_PRE = np.flip(SW_OBS_PRE,0).astype(dtype='<U8')
-    ymds = np.apply_along_axis(''.join, 1, SW_OBS_PRE[:,:3])
-    SW_OBS_PRE = np.insert(SW_OBS_PRE[:,3:],0,ymds,axis=1)
-    return SW_OBS_PRE 
- 
-def get_sw(SW_OBS_PRE,t_ymd,hour):
     '''
     Extract the necessary parameters describing the solar activity and geomagnetic activity from the space weather data.
 
@@ -120,17 +98,17 @@ def get_sw(SW_OBS_PRE,t_ymd,hour):
     >>> f107A,f107,ap,aph = get_sw(SW_OBS_PRE,t_ymd,hour)
     '''
 
-    ymds = SW_OBS_PRE[:,0]
+    ymds = sw_df['DATE']
-    j_, = np.where(''.join(t_ymd) == ymds)
+    j_, = np.where(sw_df['DATE'] == t_ymd)
     j = j_[0]
-    f107A,f107,ap = float(SW_OBS_PRE[j,25]),float(SW_OBS_PRE[j+1,24]),int(SW_OBS_PRE[j,20])
+    f107A,f107,ap = sw_df.iloc[j]['F10.7_OBS_CENTER81'],sw_df.iloc[j+1]['F10.7_OBS'],sw_df.iloc[j]['AP_AVG']
-    aph_tmp_b0 = SW_OBS_PRE[j,12:20]   
+    aph_tmp_b0 = sw_df.iloc[j]['AP1':'AP8']   
     i = int(np.floor_divide(hour,3))
     ap_c = aph_tmp_b0[i]
-    aph_tmp_b1 = SW_OBS_PRE[j+1,12:20]
+    aph_tmp_b1 = sw_df.iloc[j+1]['AP1':'AP8']
-    aph_tmp_b2 = SW_OBS_PRE[j+2,12:20]
+    aph_tmp_b2 = sw_df.iloc[j+2]['AP1':'AP8']
-    aph_tmp_b3 = SW_OBS_PRE[j+3,12:20]
+    aph_tmp_b3 = sw_df.iloc[j+3]['AP1':'AP8']
-    aph_tmp = np.hstack((aph_tmp_b3,aph_tmp_b2,aph_tmp_b1,aph_tmp_b0))[::-1].astype(np.float)
+    aph_tmp = np.hstack((aph_tmp_b3,aph_tmp_b2,aph_tmp_b1,aph_tmp_b0))[::-1]
     apc_index = 7-i
     aph_c369 = aph_tmp[apc_index:apc_index+4]
     aph_1233 = np.average(aph_tmp[apc_index+4:apc_index+12])

pyatmos/utils/try_download.py

@@ -1,33 +1,21 @@
-import requests
+import wget
-from tqdm import tqdm
-from colorama import Fore
-from time import sleep
-from os import remove
 
-def tqdm_request(url,dir_to,file,desc):
+def wget_download(url,dir_file,desc=None):
-    '''
+    """
-    Try to download files from a remote server by request with a colored progress bar.
+    Download files by wget command
-    '''
+
-    block_size = 1024*10
+    Inputs:
-    bar_format = "{l_bar}%s{bar}%s{r_bar}" % (Fore.BLUE, Fore.RESET)
+        url -> [str]
-    for idownload in range(5):
+        dir_file -> [str] output filename or directory
-        try:
+    Parameters:
-            local_file = open(dir_to + file, 'ab')
+        desc -> [str] description of the downloading   
-            pos = local_file.tell()
+    Outpits:
-            res = requests.get(url,stream=True,timeout=100,headers={'Accept-Encoding': None,'Range': f'bytes={pos}-'})
+        wget_out -> [str] path and filename where URL is downloaded to   
-            total_size = int(res.headers.get('content-length'))
+
-            pbar = tqdm(desc = desc,total=total_size,unit='B',unit_scale=True,bar_format = bar_format,position=0,initial=pos) 
+    """
-            for chunk in res.iter_content(block_size):
+    if desc: print(desc)
-                pbar.update(len(chunk))
+    wget_out = wget.download(url,dir_file)
-                local_file.write(chunk)  
+    print()
-            pbar.close()  
+
-            res.close()  
+    return wget_out
-            break
-        except: 
-            sleep(2)
-            if idownload == 4:
-                remove(dir_to + file)
-                print('No response, skip this file.') 
-        finally:    
-            local_file.close() 
 

setup.py

@@ -2,7 +2,7 @@ from setuptools import setup,find_packages
 
 setup(
     name = 'pyatmos',
-    version = '1.2.3',
+    version = '1.2.4',
     description = 'A package to estimate the vertical structure of atmosphere with various atmospheric density models',
     author = 'Chunxiao Li',
     author_email = 'lcx366@126.com',
@@ -27,9 +27,9 @@ setup(
         'scipy',
         'numpy',
         'numba',
+        'pandas',
         'astropy',
         'pyshtools',
-        'tqdm',
+        'wget'
-        'colorama'
         ]
     )

test.ipynb

@@ -39,18 +39,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[1.22500000e+00 7.76098911e-02 3.97200000e-03 3.20600000e-04\n",
-      " 1.90500000e-05]\n"
-     ]
-    }
-   ],
    "source": [
     ">>> from pyatmos import expo\n",
     ">>> expo_geom = expo([0,20,40,60,80]) # geometric altitudes by default\n",
@@ -67,21 +58,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[1.22499916e+00 8.89079563e-02 3.99535051e-03 3.09628985e-04\n",
-      " 1.84514759e-05]\n",
-      "[288.15       216.65       250.35120115 247.01740767 198.63418825]\n",
-      "[1.01325000e+05 5.52919008e+03 2.87122194e+02 2.19548951e+01\n",
-      " 1.05207648e+00]\n"
-     ]
-    }
-   ],
    "source": [
     ">>> from pyatmos import coesa76\n",
     ">>> coesa76_geom = coesa76([0,20,40,60,80]) # geometric altitudes by default\n",
@@ -107,14 +86,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The space weather data in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
+      "The Space Weather file 'SW-All.csv' in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
      ]
     }
    ],
@@ -128,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -168,17 +147,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The space weather data in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
-     ]
-    }
-   ],
    "source": [
     ">>> from pyatmos import download_sw_jb2008,read_sw_jb2008\n",
     ">>> # Download or update the space weather file from https://sol.spacenvironment.net\n",
@@ -189,18 +160,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1.2991711750265394e-14\n",
-      "754.2803276187265\n"
-     ]
-    }
-   ],
    "source": [
     ">>> from pyatmos import jb2008\n",
     ">>> # Set a specific time and location\n",
@@ -264,9 +226,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "py3.9",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "py3.9"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -278,7 +240,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.9.16"
   }
  },
  "nbformat": 4,