title: I load a data from csv to Python Pandas and try to make the columns to row (with duplicates dates)
body: <p>:</p>
  <p>I taking the confirm cases of data from here :
  <a href="https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv" rel="nofollow noreferrer">https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv</a></p>
  <p>I load the data in python using Pandas Dataframe .</p>
  <p>my problem is  : i am trying to make the columns of the date as rows , and the ' Country/Region' column as columns .</p>
  <pre><code>url_confirmed = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv'
  
  df = pd.read_csv(url_confirmed)
  
  df = df.drop(columns=['Province/State','Lat','Long'],axis=1)
  
  df_piv = pd.melt(df,id_vars=['Country/Region'],var_name='Date',value_name=&quot;Value&quot;)
  
  </code></pre>
  <p>I get until here and really don't know how to proceed</p>
  <p>my final dataframe suppose to look like this :</p>
  <pre><code>   Date    Afghanistan    Albania   and so on
  0  1/22/20    0              val  
  1  1/23/20    300            val
  3  1/24/20   4023            val
  6  1/25/20    300            val
  7  1/26/20   2000            val
  8    ..       ..
  .
  .
  </code></pre>
  <p>**Thank You Very Much **</p>