pandas save file to pickle
import pandas as pd
df.to_pickle(file_name) # save
df = pd.read_pickle(file_name) # loadpandas save file to pickle
import pandas as pd
df.to_pickle(file_name) # save
df = pd.read_pickle(file_name) # loadsave pandas into csv
df.to_csv(r'Path where you want to store the exported CSV file\File Name.csv', index = False)pandas to_csv delimiter
df.to_csv('modified.txt', index=False, sep='\t')pandas write to disk
df.to_csv(path_or_buf=None, sep=',', na_rep='', float_format=None,
columns=None, header=True, index=True, index_label=None,
mode='w', encoding=None, compression='infer',
quoting=None, quotechar='"', line_terminator=None,
chunksize=None, date_format=None, doublequote=True,
escapechar=None, decimal='.', errors='strict')python pandas table save
pip install dataframe_image
import dataframe_image as dfi
df = pd.DataFrame(np.random.randn(6, 6), columns=list('ABCDEF'))
# style your table if you want by:
df_styled = df.style.background_gradient() #adding a gradient based on values in cell
dfi.export(df_styled,"mytable.png")Copyright © 2021 Codeinu
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