<jupyter_start><jupyter_text>State dataThis notebook demonstrates the loading of THEMIS state data<jupyter_code>import pyspedas
from pyspedas.cotrans.cotrans import cotrans
from pytplot import tplot, options
pyspedas.themis.state(trange=['2007-06-23', '2007-06-24'], probe='a')<jupyter_output>24-Sep-21 15:38:34: Downloading http://themis.ssl.berkeley.edu/data/themis/tha/l1/state/2007/tha_l1_state_20070623.cdf to themis_data/tha/l1/state/2007/tha_l1_state_20070623.cdf
24-Sep-21 15:38:35: Download complete: themis_data/tha/l1/state/2007/tha_l1_state_20070623.cdf<jupyter_text>Plot the position and velocity in GSM coordinates<jupyter_code>tplot(['tha_pos_gsm', 'tha_vel_gsm'])<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11988716502115655, 'fraction_numerical': 0.11001410437235543, 'mean_word_length': 8.102564102564102, 'pattern_counts': {'":': 0, '<': 8, '<?xml version=': 0, '>': 8, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '102837', 'license': 'MIT', 'n_tokens_mistral': 340, 'n_tokens_neox': 282, 'n_words': 41, 'path': 'basic/State data.ipynb', 'repo_name': 'spedas/themis-examples', 'size': '709'}