How to plot multiple plots with a loop using pandas datetime on x axis?
up vote
-1
down vote
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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!
python pandas matplotlib plot
asked Nov 11 at 13:59
the painted cow
62
add a comment |
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!
python pandas matplotlib plot
asked Nov 11 at 13:59
the painted cow
62
add a comment |
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!
python pandas matplotlib plot
asked Nov 11 at 13:59
the painted cow
62
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
python pandas matplotlib plot
asked Nov 11 at 13:59
the painted cow
62
asked Nov 11 at 13:59
the painted cow
62
asked Nov 11 at 13:59
the painted cow
62
asked Nov 11 at 13:59
the painted cow
62
asked Nov 11 at 13:59
the painted cow
62
62
add a comment |
add a comment |
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