How to get the values from one row in a csv file with python

Question

Good morning, As a school project I have to do a python script that will export data from an online csv file and then use the data from only my country (Lebanon) to make line graphs and other type of graphics about the spread of COVID-19. I have sorted out how to make the graphics but I am having problems with getting the data out of the csv file.

This is my code:

from pandas import set_option, read_csv

inp_file=read_csv("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_co\
vid_19_time_series/time_series_covid19_confirmed_global.csv")
set_option("display.max_rows", 999)
out_file=inp_file.transpose()

write_to_out_file=open("/Users/bechara/Desktop/projects/python/data_corona2.csv", "w")
write_to_out_file.write(str(out_file[147]))
write_to_out_file.close()

df=read_csv("/Users/bechara/Desktop/projects/python/data_corona2.csv", error_bad_lines=False)
a=df.values
write_to_out_file2=open("/Users/bechara/Desktop/projects/python/data_corona3.csv", "w")
write_to_out_file2.write(str(a))
write_to_out_file2.close()

The file I am taking from the internet is here .

The output I was expecting was to get the numbers only like so:

0
0
0
(67 other lines)
438
446
470

The problems I am having is in data_corona2.csv I am getting alongside the numbers dates and unwanted information (latitude, longitude, etc.) and in data_corona3.csv I am also getting some unwanted information.

Is there a way I can get my expected output?

Thank you.

Answer 1

I suggest the following

import pandas as pd
inp_file = pd.read_csv("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_co\
vid_19_time_series/time_series_covid19_confirmed_global.csv")
inp_file = inp_file.loc[inp_file['Country/Region']=="Lebanon",:]
inp_file = inp_file.drop(columns=["Lat","Long", "Province/State"])
out_file = pd.melt(inp_file, id_vars = ["Country/Region"])

Either, get only the values in a numpy array as follows:

out_file = out_file.value.values

And out_file are the values you wanted. out_file is a numpy array in this case.

But I would suggest keeping it as a df and writing it with to_csv

out_file = out_file.loc[,["value"]]
out_file.to_csv("myfile.csv", index=False)

Answer 2

Import to pandas DataFrame

df=pd.read_csv(url,sep=',')

Find columns you need

df.columns

Filter them (whatever you need)

df[['3/29/20', '3/30/20', '3/31/20']][df['Country/Region']=="Lebanon"]

Plot data in one line using matplotlib

from matplotlib import pyplot as plt
plt.plot(df[['3/29/20', '3/30/20', '3/31/20']][df['Country/Region']=="Lebanon"].values.tolist()[0])