How to plot multiple plots with a loop using pandas datetime on x axis?











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I want to plot one graph for each 'Event'.
This is what I have so far:



#  Importing economic calendar
df = pd.read_csv('EconomicCalendar.csv')
df.columns = ['Date','Currency','Impact','Event','Actual','Forecast','Previous']
df.Date = pd.to_datetime(df.Date)
#df.Date = dates.date2num(df.Date)

currency = ['EUR']
output = df.loc[df.Currency.str.contains('|'.join(currency))]

# Plot output
grouped = output.groupby('Event')

for i in grouped.groups.keys():
output.loc[output.Event.str.contains(i)].plot(x='Date', y='Actual', title=i)


For a 3 of 20 graphs this works but then I get the following error:




ValueError: view limit minimum -0.001 is less than 1 and is an invalid
Matplotlib date value. This often happens if you pass a non-datetime
value to an axis that has datetime units




I tried indexing but since some datetimes are used multiple times this does not seem to work.



When I do not plot with datetime but with dates.date2num() everything works but I cannot convert the numbers (around 7000) to dates again.



Looking forward for help. Thanks!










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    up vote
    -1
    down vote

    favorite












    I want to plot one graph for each 'Event'.
    This is what I have so far:



    #  Importing economic calendar
    df = pd.read_csv('EconomicCalendar.csv')
    df.columns = ['Date','Currency','Impact','Event','Actual','Forecast','Previous']
    df.Date = pd.to_datetime(df.Date)
    #df.Date = dates.date2num(df.Date)

    currency = ['EUR']
    output = df.loc[df.Currency.str.contains('|'.join(currency))]

    # Plot output
    grouped = output.groupby('Event')

    for i in grouped.groups.keys():
    output.loc[output.Event.str.contains(i)].plot(x='Date', y='Actual', title=i)


    For a 3 of 20 graphs this works but then I get the following error:




    ValueError: view limit minimum -0.001 is less than 1 and is an invalid
    Matplotlib date value. This often happens if you pass a non-datetime
    value to an axis that has datetime units




    I tried indexing but since some datetimes are used multiple times this does not seem to work.



    When I do not plot with datetime but with dates.date2num() everything works but I cannot convert the numbers (around 7000) to dates again.



    Looking forward for help. Thanks!










    share|improve this question
























      up vote
      -1
      down vote

      favorite









      up vote
      -1
      down vote

      favorite











      I want to plot one graph for each 'Event'.
      This is what I have so far:



      #  Importing economic calendar
      df = pd.read_csv('EconomicCalendar.csv')
      df.columns = ['Date','Currency','Impact','Event','Actual','Forecast','Previous']
      df.Date = pd.to_datetime(df.Date)
      #df.Date = dates.date2num(df.Date)

      currency = ['EUR']
      output = df.loc[df.Currency.str.contains('|'.join(currency))]

      # Plot output
      grouped = output.groupby('Event')

      for i in grouped.groups.keys():
      output.loc[output.Event.str.contains(i)].plot(x='Date', y='Actual', title=i)


      For a 3 of 20 graphs this works but then I get the following error:




      ValueError: view limit minimum -0.001 is less than 1 and is an invalid
      Matplotlib date value. This often happens if you pass a non-datetime
      value to an axis that has datetime units




      I tried indexing but since some datetimes are used multiple times this does not seem to work.



      When I do not plot with datetime but with dates.date2num() everything works but I cannot convert the numbers (around 7000) to dates again.



      Looking forward for help. Thanks!










      share|improve this question













      I want to plot one graph for each 'Event'.
      This is what I have so far:



      #  Importing economic calendar
      df = pd.read_csv('EconomicCalendar.csv')
      df.columns = ['Date','Currency','Impact','Event','Actual','Forecast','Previous']
      df.Date = pd.to_datetime(df.Date)
      #df.Date = dates.date2num(df.Date)

      currency = ['EUR']
      output = df.loc[df.Currency.str.contains('|'.join(currency))]

      # Plot output
      grouped = output.groupby('Event')

      for i in grouped.groups.keys():
      output.loc[output.Event.str.contains(i)].plot(x='Date', y='Actual', title=i)


      For a 3 of 20 graphs this works but then I get the following error:




      ValueError: view limit minimum -0.001 is less than 1 and is an invalid
      Matplotlib date value. This often happens if you pass a non-datetime
      value to an axis that has datetime units




      I tried indexing but since some datetimes are used multiple times this does not seem to work.



      When I do not plot with datetime but with dates.date2num() everything works but I cannot convert the numbers (around 7000) to dates again.



      Looking forward for help. Thanks!







      python pandas matplotlib plot






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      asked Nov 11 at 13:59









      the painted cow

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