How to ignore the header rows in Pandas Python

Question

I want my python script to automatically graph certain parts of a CSV file. I have managed to get the data I want by removing certain parts of the csv file through the .drop command, anyway the headers won't go away. I have used the header = none command. Please help someone!

import matplotlib.pyplot as plt
import urllib.request
import pandas as pd

url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv"
filename, headers = urllib.request.urlretrieve(url, filename="E:\Corona\csv\confirmedglobal/casesGlobal.csv")
print ("download file location: ", filename)
print ("download headers: ", headers)
print ("Download #1 Completed")


cases = pd.read_csv(r'E:\Corona\csv\confirmedglobal\casesGlobal.csv')   

cases.drop('Province/State', axis=1, inplace=True)
cases.drop('Country/Region', axis=1, inplace=True)
cases.drop('Lat', axis=1, inplace=True)
cases.drop('Long', axis=1, inplace=True)


cases.to_csv('E:\Corona\csv\confirmedglobal\casesGlobal.csv', header=None, index=True)


#Australian Capital
cases.drop([0,1,2,3,4,5,6,7,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265] ,axis=0, inplace=True)

print(cases)

Are you sure the file is saved to the correct place? You missed the raw string indicator r' 'after the cases.to_csv command. — Lewistrick
– Lewistrick, Commented May 29, 2020 at 9:43

Bruno Justino Praciano · Accepted Answer · 2020-05-29 09:34:08Z

1

Try to use cases.to_csv('E:\Corona\csv\confirmedglobal\casesGlobal.csv', header=False, index=True) instead header=None

answered May 29, 2020 at 9:34

Bruno Justino Praciano

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5 Comments

Proxeii Over a year ago

Thanks for trying to help Bruno but still getting the same problem, here is the output: 1/22/20 1/23/20 1/24/20 1/25/20 ... 5/25/20 5/26/20 5/27/20 5/28/20 8 0 0 0 0 ... 107 107 107 107 [1 rows x 128 columns]

Bruno Justino Praciano Over a year ago

what is your pandas version?

Proxeii Over a year ago

The pandas version is 0.25.1

Bruno Justino Praciano Over a year ago

put the cases.to_csv('E:\Corona\csv\confirmedglobal\casesGlobal.csv', header=False, index=True) after cases.drop than read the new csv file like this: df = pd.read_csv(''E:\Corona\csv\confirmedglobal\casesGlobal.csv', header=None)

Proxeii Over a year ago

Yo that fixed everything. Thanks so much man, much appreciated :D

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