<jupyter_start><jupyter_text>Use glob to upload all files<jupyter_code>import glob
for py in glob.glob("*.py"):
    print(py)
files = ('do_not_use.csv', 'do_not_use2.csv', 'do_not_use3.csv')
dfs_names = ('df1', 'df2', 'df3')
dfs ={}
for dfn,file in zip(dfs_names, files):
    dfs[dfn] = pd.read_csv(file)
    print(dfs[dfn].shape)
    print(dfs[dfn].dtypes)
print(dfs['df3'])
for period, df in dfs.items():
    print(df)<jupyter_output>Unnamed: 0  Account_No  Month_ID Product_Category      Target
0               0    99696211       143  Online Products  2984094.12
1               1    99696211       142  Online Products  2839413.36
2               2    99696211       141  Online Products  2305564.80
3               3    99696211       140  Online Products  2234395.80
4               4    99696211       139  Online Products  1750056.00
...           ...         ...       ...              ...         ...
15302       15302    68888109       143          Support        0.84
15303       15303    68888109       140          Support        0.84
15304       15304    68888109       142          Support        0.84
15305       15305    68888109       134          Support        0.84
15306       15306    89393119       143          Support        0.84

[15307 rows x 5 columns]
      Unnamed: 0  New Account No        New Account Name  \
0              0           303143            Communities   
1              1          [...]
{'fraction_non_alphanumeric': 0.08228730822873083, 'fraction_numerical': 0.17712691771269176, 'mean_word_length': 1.367986798679868, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, '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': '180108', 'license': 'MIT', 'n_tokens_mistral': 598, 'n_tokens_neox': 459, 'n_words': 126, 'path': '.ipynb_checkpoints/Multiple_CSV_Upload-checkpoint.ipynb', 'repo_name': 'mattblasa/CSV_Uploader', 'size': '1434'}