<jupyter_start><jupyter_text>Scratch<jupyter_code>from mpl_toolkits.basemap import Basemap
import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(12,6))
m = Basemap(projection='moll', lon_0=0, lat_0=0, ax=ax)
_ = m.drawmeridians(np.arange(-180., 180, 60))
_ = m.drawparallels(np.arange(-90., 90., 60.))
_ = m.drawmapboundary(fill_color='b')
fig
x = []
y = []
ax.hist(x, color='b', label='EGF')
ax.hist(y, color='r', label='MW')
ax.legend(loc='upper right', bbox_to_anchor=(1,1))
fig<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.19074074074074074, 'fraction_numerical': 0.04259259259259259, 'mean_word_length': 6.840579710144928, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '175463', 'license': 'MIT', 'n_tokens_mistral': 254, 'n_tokens_neox': 238, 'n_words': 40, 'path': 'examples/Demo_testMW.ipynb', 'repo_name': 'oskarkleincentre/cadence_demo_for_ztf', 'size': '540'}