csv Memes

Let's be honest, nobody uses Pandas for actual data analysis. We just import it, spend 6 hours fighting with dataframes, then realize our CSV is actually just 3 rows that could've been handled with a dictionary. But hey, at least we get to feel like data scientists while we gently roll down the hill of despair into deadline panic.

Content Education Industrial Complex: you need to learn math Me who can import math in one line of python: import math import csv Load CSV data filename "catvomitdata.cv" ItFactor time 1 with open(filename, "r") as file: reader csv. reader (file) headers next (reader) Store the headers fol for row in reader: if row 0 0: ItFactor.append (math. atan2 (row 3, row 7) row 2) time.append (row1) elif row0 0: ItFactor.append (-math. atan2 (row 3, row7) row 21) time. append (row1) else: print ("ERROR IN VOMIT SENSOR!! HAVE TONY REPLACE BATT Plot results for Vet who says this isn't an emergency plt.figure() plt.scatter (time, Itfactor) plt.title('Sick Cat Emergency Vomit Viscosity Off!') plt.xlabel( 'Time',fontsize FS) pit.ylabel( "Hemmelmans (L)') plt. show()

Content "Our no-code solution lets you easily create data pipelines from a config" The config: BrookLyn Anticapital Habitat Defense Systems "Workflow": "UserTransactionsPipeline", "Instructions": "import pandas as pd", "df pd.readcsv ("USER TRANSACTIONS SNAPSHOT. csv)" "df.dropna(subset'id deprecated 'column9', inplaceTrue)" "df'productcode' df'product . apply (lambda x: x. strip() . lower ())", "df df df ' amount e", "df'occurredat' pd. todatetime (df 'occurredat', errors 'coerce')" "df. tosq1 ('usertransactions", conengine, ifexists'append")"