Mixing
where condition in fill_between isn't working
1
Trying to use the following code:
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
It isn't working at all
I did the following things:
1. Tried running just the '>' condition: it filled the entire figure
2. Tried running just the '<' condition: it didn't fill anything
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
On running the above I get:
I tried the following:
#ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
This gives me:
Next I tried this:
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
#ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
Which gave me:
Ideally, the are above closep[0] should have been coloured and the one below it should have been blank.
However, everything is getting filled. Moreover, just running the '>' fills everything and just running the '<' condition doesn't fill anything
I use python2.7
python matplotlib
edited Jan 3 at 5:44
Nino Filiu
2,78031428
asked Jan 2 at 17:39
ketaningle80ketaningle80
83
add a comment |
1
Trying to use the following code:
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
It isn't working at all
I did the following things:
1. Tried running just the '>' condition: it filled the entire figure
2. Tried running just the '<' condition: it didn't fill anything
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
On running the above I get:
I tried the following:
#ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
This gives me:
Next I tried this:
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
#ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
Which gave me:
Ideally, the are above closep[0] should have been coloured and the one below it should have been blank.
However, everything is getting filled. Moreover, just running the '>' fills everything and just running the '<' condition doesn't fill anything
I use python2.7
python matplotlib
edited Jan 3 at 5:44
Nino Filiu
2,78031428
asked Jan 2 at 17:39
ketaningle80ketaningle80
83
add a comment |
1
1
1
Trying to use the following code:
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
It isn't working at all
I did the following things:
1. Tried running just the '>' condition: it filled the entire figure
2. Tried running just the '<' condition: it didn't fill anything
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
On running the above I get:
I tried the following:
#ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
This gives me:
Next I tried this:
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
#ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
Which gave me:
Ideally, the are above closep[0] should have been coloured and the one below it should have been blank.
However, everything is getting filled. Moreover, just running the '>' fills everything and just running the '<' condition doesn't fill anything
I use python2.7
python matplotlib
edited Jan 3 at 5:44
Nino Filiu
2,78031428
asked Jan 2 at 17:39
ketaningle80ketaningle80
83
Trying to use the following code:
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
It isn't working at all
I did the following things:
1. Tried running just the '>' condition: it filled the entire figure
2. Tried running just the '<' condition: it didn't fill anything
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
On running the above I get:
I tried the following:
#ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
This gives me:
Next I tried this:
ax1.fill_between(date, closep, closep[0], where = closep > closep[0], facecolor = 'g', alpha = 0.3)
#ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)
Which gave me:
Ideally, the are above closep[0] should have been coloured and the one below it should have been blank.
However, everything is getting filled. Moreover, just running the '>' fills everything and just running the '<' condition doesn't fill anything
I use python2.7
python matplotlib
python matplotlib
edited Jan 3 at 5:44
Nino Filiu
2,78031428
asked Jan 2 at 17:39
ketaningle80ketaningle80
83
edited Jan 3 at 5:44
Nino Filiu
2,78031428
asked Jan 2 at 17:39
ketaningle80ketaningle80
83
edited Jan 3 at 5:44
Nino Filiu
2,78031428
edited Jan 3 at 5:44
Nino Filiu
2,78031428
edited Jan 3 at 5:44
Nino Filiu
2,78031428
2,78031428
asked Jan 2 at 17:39
ketaningle80ketaningle80
83
asked Jan 2 at 17:39
ketaningle80ketaningle80
83
asked Jan 2 at 17:39
ketaningle80ketaningle80
83
83
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
0
Try:
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = [i > closep[0] for i in closep], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = [i < closep[0] for i in closep] , facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
Output:
answered Jan 2 at 17:45
Scott BostonScott Boston
57.3k73258
It worked! Thanks! Can you please explain why the for loop was necessary? Haven't come across it anywhere. Also, why was there a different output when the '>/<' conditions were used separately?
– ketaningle80
Jan 2 at 17:56
@ketaningle80 well, you can't compare a list to a value in python. Now, if you didn't do the .tolist() at the end of df['close'] you, it would have worked because you can compare a np.array to a value.closep = df['Close']thenax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)will work.
– Scott Boston
Jan 2 at 18:24
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
Try:
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = [i > closep[0] for i in closep], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = [i < closep[0] for i in closep] , facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
Output:
answered Jan 2 at 17:45
Scott BostonScott Boston
57.3k73258
It worked! Thanks! Can you please explain why the for loop was necessary? Haven't come across it anywhere. Also, why was there a different output when the '>/<' conditions were used separately?
– ketaningle80
Jan 2 at 17:56
@ketaningle80 well, you can't compare a list to a value in python. Now, if you didn't do the .tolist() at the end of df['close'] you, it would have worked because you can compare a np.array to a value.closep = df['Close']thenax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)will work.
– Scott Boston
Jan 2 at 18:24
add a comment |
0
Try:
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = [i > closep[0] for i in closep], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = [i < closep[0] for i in closep] , facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
Output:
answered Jan 2 at 17:45
Scott BostonScott Boston
57.3k73258
It worked! Thanks! Can you please explain why the for loop was necessary? Haven't come across it anywhere. Also, why was there a different output when the '>/<' conditions were used separately?
– ketaningle80
Jan 2 at 17:56
@ketaningle80 well, you can't compare a list to a value in python. Now, if you didn't do the .tolist() at the end of df['close'] you, it would have worked because you can compare a np.array to a value.closep = df['Close']thenax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)will work.
– Scott Boston
Jan 2 at 18:24
add a comment |
0
0
0
Try:
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = [i > closep[0] for i in closep], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = [i < closep[0] for i in closep] , facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
Output:
answered Jan 2 at 17:45
Scott BostonScott Boston
57.3k73258
Try:
import datetime as dt
import matplotlib.pyplot as plt
import pandas_datareader.data as web
start = dt.datetime(2000, 1, 1)
end = dt.datetime(2016, 12, 31)
df = web.DataReader('TWTR', 'yahoo', start, end)
df.reset_index(inplace = True)
stock = 'Twitter'
date = df['Date'].tolist()
closep = df['Close'].tolist()
fig = plt.figure()
ax1 = plt.subplot2grid((1,1), (0,0))
ax1.plot_date(date, closep, '-', label = 'Price')
ax1.fill_between(date, closep, closep[0], where = [i > closep[0] for i in closep], facecolor = 'g', alpha = 0.3)
ax1.fill_between(date, closep, closep[0], where = [i < closep[0] for i in closep] , facecolor = 'r', alpha = 0.3)
for label in ax1.xaxis.get_ticklabels():
label.set_rotation(45)
ax1.grid(True)
ax1.xaxis.label.set_color('c')
ax1.yaxis.label.set_color('r')
plt.xlabel('date')
plt.ylabel('Close Price')
plt.title(stock)
plt.legend()
plt.show()
Output:
answered Jan 2 at 17:45
Scott BostonScott Boston
57.3k73258
edited Jan 2 at 18:57
answered Jan 2 at 17:45
Scott BostonScott Boston
57.3k73258
answered Jan 2 at 17:45
Scott BostonScott Boston
57.3k73258
answered Jan 2 at 17:45
Scott BostonScott Boston
57.3k73258
57.3k73258
It worked! Thanks! Can you please explain why the for loop was necessary? Haven't come across it anywhere. Also, why was there a different output when the '>/<' conditions were used separately?
– ketaningle80
Jan 2 at 17:56
@ketaningle80 well, you can't compare a list to a value in python. Now, if you didn't do the .tolist() at the end of df['close'] you, it would have worked because you can compare a np.array to a value.closep = df['Close']thenax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)will work.
– Scott Boston
Jan 2 at 18:24
add a comment |
It worked! Thanks! Can you please explain why the for loop was necessary? Haven't come across it anywhere. Also, why was there a different output when the '>/<' conditions were used separately?
– ketaningle80
Jan 2 at 17:56
@ketaningle80 well, you can't compare a list to a value in python. Now, if you didn't do the .tolist() at the end of df['close'] you, it would have worked because you can compare a np.array to a value.closep = df['Close']thenax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3)will work.
– Scott Boston
Jan 2 at 18:24
It worked! Thanks! Can you please explain why the for loop was necessary? Haven't come across it anywhere. Also, why was there a different output when the '>/<' conditions were used separately?
– ketaningle80
Jan 2 at 17:56
It worked! Thanks! Can you please explain why the for loop was necessary? Haven't come across it anywhere. Also, why was there a different output when the '>/<' conditions were used separately?
– ketaningle80
Jan 2 at 17:56
@ketaningle80 well, you can't compare a list to a value in python. Now, if you didn't do the .tolist() at the end of df['close'] you, it would have worked because you can compare a np.array to a value.
closep = df['Close'] then ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3) will work.– Scott Boston
Jan 2 at 18:24
@ketaningle80 well, you can't compare a list to a value in python. Now, if you didn't do the .tolist() at the end of df['close'] you, it would have worked because you can compare a np.array to a value.
closep = df['Close'] then ax1.fill_between(date, closep, closep[0], where = closep < closep[0], facecolor = 'r', alpha = 0.3) will work.– Scott Boston
Jan 2 at 18:24
add a comment |
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