Line-graph plotting strangely; scatter plot rejects timestamp










0















I'm plotting some data imported from a csv file; a simple line graph works ok except that there are messy-looking lines where the data points connect (they're angled oddly and give the graph an overall cluttered look).



I want to change to a scatter-plot with lines between the points, hoping that this will remove the issue. However, when I plot a scatter-plot, the datetime from my csv is rejected and the following error message is displayed.



Does anyone have any ideas how I can use csv datetime with a scatter-plot. Or, even better, how I can stop those annoying messy lines in a line-graph? This latter would be the ideal option.



Error message for the .values solution...



My code is below:



import matplotlib.pyplot as plt 
import pandas as pd
import os
import matplotlib.dates as mdates

# Read the file in csv
File = pd.read_csv("Timeline.csv")

# Where to save the output
outputDirectory = 'Z:\15_Hawaii\Plotting\'
if not os.path.exists(outputDirectory):
os.makedirs(outputDirectory)

# Datetime selection
time = File.iloc[:,0]
time_time = pd.to_datetime(time, format = '%m/%d/%Y')
time_time = pd.to_datetime(time_time, format = '%m/%d/%Y')
time_day = mdates.DayLocator()

# Kona data selection
Kona = File.iloc[:,2]

# defining the names which will be called
fig, host = plt.subplots()
ax = plt.gca()

# simple plot of the data
K_plot, = host.plot(time_time, Kona, color=[0,0.690196078,0.941176471], linewidth=1, label="Kona")

# attempt to scatter plot the data
K_plot, = plt.scatter(time_time, Kona, color=[0,0.690196078,0.941176471], linewidth=1, label="Kona")

# other plotting parameters
ax.xaxis.grid(linestyle='dotted')
plt.setp(ax.xaxis.get_majorticklabels(), rotation=80 )
fig.set_size_inches(12, 5)

plt.savefig(outputDirectory + 'SO2_PLOT_1' + '.png', bbox_inches='tight', dpi=300, pad_inches=0.0)









share|improve this question
























  • Can you try K_plot = plt.scatter(time_time.values, Kona.values, color=[0,0.690196078,0.941176471], label="Kona")?

    – ImportanceOfBeingErnest
    Nov 13 '18 at 20:25











  • Hi ImportanceOfBeingErnest, when I add in .values to the scatter variables, it does produce a scatter plot, but with the TypeError "PathCollection" is not iterable. I'll add a screenshot of this to my original post so you can see...

    – RCW_8
    Nov 14 '18 at 8:20











  • There is no comma after K_plot in my suggestion.

    – ImportanceOfBeingErnest
    Nov 14 '18 at 9:12











  • Ah! I missed that, but it seems to have fixed it! Thanks so much!

    – RCW_8
    Nov 14 '18 at 10:33















0















I'm plotting some data imported from a csv file; a simple line graph works ok except that there are messy-looking lines where the data points connect (they're angled oddly and give the graph an overall cluttered look).



I want to change to a scatter-plot with lines between the points, hoping that this will remove the issue. However, when I plot a scatter-plot, the datetime from my csv is rejected and the following error message is displayed.



Does anyone have any ideas how I can use csv datetime with a scatter-plot. Or, even better, how I can stop those annoying messy lines in a line-graph? This latter would be the ideal option.



Error message for the .values solution...



My code is below:



import matplotlib.pyplot as plt 
import pandas as pd
import os
import matplotlib.dates as mdates

# Read the file in csv
File = pd.read_csv("Timeline.csv")

# Where to save the output
outputDirectory = 'Z:\15_Hawaii\Plotting\'
if not os.path.exists(outputDirectory):
os.makedirs(outputDirectory)

# Datetime selection
time = File.iloc[:,0]
time_time = pd.to_datetime(time, format = '%m/%d/%Y')
time_time = pd.to_datetime(time_time, format = '%m/%d/%Y')
time_day = mdates.DayLocator()

# Kona data selection
Kona = File.iloc[:,2]

# defining the names which will be called
fig, host = plt.subplots()
ax = plt.gca()

# simple plot of the data
K_plot, = host.plot(time_time, Kona, color=[0,0.690196078,0.941176471], linewidth=1, label="Kona")

# attempt to scatter plot the data
K_plot, = plt.scatter(time_time, Kona, color=[0,0.690196078,0.941176471], linewidth=1, label="Kona")

# other plotting parameters
ax.xaxis.grid(linestyle='dotted')
plt.setp(ax.xaxis.get_majorticklabels(), rotation=80 )
fig.set_size_inches(12, 5)

plt.savefig(outputDirectory + 'SO2_PLOT_1' + '.png', bbox_inches='tight', dpi=300, pad_inches=0.0)









share|improve this question
























  • Can you try K_plot = plt.scatter(time_time.values, Kona.values, color=[0,0.690196078,0.941176471], label="Kona")?

    – ImportanceOfBeingErnest
    Nov 13 '18 at 20:25











  • Hi ImportanceOfBeingErnest, when I add in .values to the scatter variables, it does produce a scatter plot, but with the TypeError "PathCollection" is not iterable. I'll add a screenshot of this to my original post so you can see...

    – RCW_8
    Nov 14 '18 at 8:20











  • There is no comma after K_plot in my suggestion.

    – ImportanceOfBeingErnest
    Nov 14 '18 at 9:12











  • Ah! I missed that, but it seems to have fixed it! Thanks so much!

    – RCW_8
    Nov 14 '18 at 10:33













0












0








0








I'm plotting some data imported from a csv file; a simple line graph works ok except that there are messy-looking lines where the data points connect (they're angled oddly and give the graph an overall cluttered look).



I want to change to a scatter-plot with lines between the points, hoping that this will remove the issue. However, when I plot a scatter-plot, the datetime from my csv is rejected and the following error message is displayed.



Does anyone have any ideas how I can use csv datetime with a scatter-plot. Or, even better, how I can stop those annoying messy lines in a line-graph? This latter would be the ideal option.



Error message for the .values solution...



My code is below:



import matplotlib.pyplot as plt 
import pandas as pd
import os
import matplotlib.dates as mdates

# Read the file in csv
File = pd.read_csv("Timeline.csv")

# Where to save the output
outputDirectory = 'Z:\15_Hawaii\Plotting\'
if not os.path.exists(outputDirectory):
os.makedirs(outputDirectory)

# Datetime selection
time = File.iloc[:,0]
time_time = pd.to_datetime(time, format = '%m/%d/%Y')
time_time = pd.to_datetime(time_time, format = '%m/%d/%Y')
time_day = mdates.DayLocator()

# Kona data selection
Kona = File.iloc[:,2]

# defining the names which will be called
fig, host = plt.subplots()
ax = plt.gca()

# simple plot of the data
K_plot, = host.plot(time_time, Kona, color=[0,0.690196078,0.941176471], linewidth=1, label="Kona")

# attempt to scatter plot the data
K_plot, = plt.scatter(time_time, Kona, color=[0,0.690196078,0.941176471], linewidth=1, label="Kona")

# other plotting parameters
ax.xaxis.grid(linestyle='dotted')
plt.setp(ax.xaxis.get_majorticklabels(), rotation=80 )
fig.set_size_inches(12, 5)

plt.savefig(outputDirectory + 'SO2_PLOT_1' + '.png', bbox_inches='tight', dpi=300, pad_inches=0.0)









share|improve this question
















I'm plotting some data imported from a csv file; a simple line graph works ok except that there are messy-looking lines where the data points connect (they're angled oddly and give the graph an overall cluttered look).



I want to change to a scatter-plot with lines between the points, hoping that this will remove the issue. However, when I plot a scatter-plot, the datetime from my csv is rejected and the following error message is displayed.



Does anyone have any ideas how I can use csv datetime with a scatter-plot. Or, even better, how I can stop those annoying messy lines in a line-graph? This latter would be the ideal option.



Error message for the .values solution...



My code is below:



import matplotlib.pyplot as plt 
import pandas as pd
import os
import matplotlib.dates as mdates

# Read the file in csv
File = pd.read_csv("Timeline.csv")

# Where to save the output
outputDirectory = 'Z:\15_Hawaii\Plotting\'
if not os.path.exists(outputDirectory):
os.makedirs(outputDirectory)

# Datetime selection
time = File.iloc[:,0]
time_time = pd.to_datetime(time, format = '%m/%d/%Y')
time_time = pd.to_datetime(time_time, format = '%m/%d/%Y')
time_day = mdates.DayLocator()

# Kona data selection
Kona = File.iloc[:,2]

# defining the names which will be called
fig, host = plt.subplots()
ax = plt.gca()

# simple plot of the data
K_plot, = host.plot(time_time, Kona, color=[0,0.690196078,0.941176471], linewidth=1, label="Kona")

# attempt to scatter plot the data
K_plot, = plt.scatter(time_time, Kona, color=[0,0.690196078,0.941176471], linewidth=1, label="Kona")

# other plotting parameters
ax.xaxis.grid(linestyle='dotted')
plt.setp(ax.xaxis.get_majorticklabels(), rotation=80 )
fig.set_size_inches(12, 5)

plt.savefig(outputDirectory + 'SO2_PLOT_1' + '.png', bbox_inches='tight', dpi=300, pad_inches=0.0)






csv matplotlib timestamp scatter-plot linegraph






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share|improve this question













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edited Nov 14 '18 at 8:23







RCW_8

















asked Nov 13 '18 at 17:57









RCW_8RCW_8

146




146












  • Can you try K_plot = plt.scatter(time_time.values, Kona.values, color=[0,0.690196078,0.941176471], label="Kona")?

    – ImportanceOfBeingErnest
    Nov 13 '18 at 20:25











  • Hi ImportanceOfBeingErnest, when I add in .values to the scatter variables, it does produce a scatter plot, but with the TypeError "PathCollection" is not iterable. I'll add a screenshot of this to my original post so you can see...

    – RCW_8
    Nov 14 '18 at 8:20











  • There is no comma after K_plot in my suggestion.

    – ImportanceOfBeingErnest
    Nov 14 '18 at 9:12











  • Ah! I missed that, but it seems to have fixed it! Thanks so much!

    – RCW_8
    Nov 14 '18 at 10:33

















  • Can you try K_plot = plt.scatter(time_time.values, Kona.values, color=[0,0.690196078,0.941176471], label="Kona")?

    – ImportanceOfBeingErnest
    Nov 13 '18 at 20:25











  • Hi ImportanceOfBeingErnest, when I add in .values to the scatter variables, it does produce a scatter plot, but with the TypeError "PathCollection" is not iterable. I'll add a screenshot of this to my original post so you can see...

    – RCW_8
    Nov 14 '18 at 8:20











  • There is no comma after K_plot in my suggestion.

    – ImportanceOfBeingErnest
    Nov 14 '18 at 9:12











  • Ah! I missed that, but it seems to have fixed it! Thanks so much!

    – RCW_8
    Nov 14 '18 at 10:33
















Can you try K_plot = plt.scatter(time_time.values, Kona.values, color=[0,0.690196078,0.941176471], label="Kona")?

– ImportanceOfBeingErnest
Nov 13 '18 at 20:25





Can you try K_plot = plt.scatter(time_time.values, Kona.values, color=[0,0.690196078,0.941176471], label="Kona")?

– ImportanceOfBeingErnest
Nov 13 '18 at 20:25













Hi ImportanceOfBeingErnest, when I add in .values to the scatter variables, it does produce a scatter plot, but with the TypeError "PathCollection" is not iterable. I'll add a screenshot of this to my original post so you can see...

– RCW_8
Nov 14 '18 at 8:20





Hi ImportanceOfBeingErnest, when I add in .values to the scatter variables, it does produce a scatter plot, but with the TypeError "PathCollection" is not iterable. I'll add a screenshot of this to my original post so you can see...

– RCW_8
Nov 14 '18 at 8:20













There is no comma after K_plot in my suggestion.

– ImportanceOfBeingErnest
Nov 14 '18 at 9:12





There is no comma after K_plot in my suggestion.

– ImportanceOfBeingErnest
Nov 14 '18 at 9:12













Ah! I missed that, but it seems to have fixed it! Thanks so much!

– RCW_8
Nov 14 '18 at 10:33





Ah! I missed that, but it seems to have fixed it! Thanks so much!

– RCW_8
Nov 14 '18 at 10:33












1 Answer
1






active

oldest

votes


















0














It seems that, from the image, your imported dataframe's first row contains the strings 'Date', 'Time' and 'Kona_data'. If you read from the second row like this, then does the problem persist?



time = File.iloc[1:,0] 
Kona = File.iloc[1:,2]





share|improve this answer























  • Hi Anotherone, unfortunately removing the csv headers doesn't seem to have any effect on the scatter plot, the "invalid type promotion" error is still displayed. :(

    – RCW_8
    Nov 14 '18 at 8:25










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1 Answer
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1 Answer
1






active

oldest

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active

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active

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0














It seems that, from the image, your imported dataframe's first row contains the strings 'Date', 'Time' and 'Kona_data'. If you read from the second row like this, then does the problem persist?



time = File.iloc[1:,0] 
Kona = File.iloc[1:,2]





share|improve this answer























  • Hi Anotherone, unfortunately removing the csv headers doesn't seem to have any effect on the scatter plot, the "invalid type promotion" error is still displayed. :(

    – RCW_8
    Nov 14 '18 at 8:25















0














It seems that, from the image, your imported dataframe's first row contains the strings 'Date', 'Time' and 'Kona_data'. If you read from the second row like this, then does the problem persist?



time = File.iloc[1:,0] 
Kona = File.iloc[1:,2]





share|improve this answer























  • Hi Anotherone, unfortunately removing the csv headers doesn't seem to have any effect on the scatter plot, the "invalid type promotion" error is still displayed. :(

    – RCW_8
    Nov 14 '18 at 8:25













0












0








0







It seems that, from the image, your imported dataframe's first row contains the strings 'Date', 'Time' and 'Kona_data'. If you read from the second row like this, then does the problem persist?



time = File.iloc[1:,0] 
Kona = File.iloc[1:,2]





share|improve this answer













It seems that, from the image, your imported dataframe's first row contains the strings 'Date', 'Time' and 'Kona_data'. If you read from the second row like this, then does the problem persist?



time = File.iloc[1:,0] 
Kona = File.iloc[1:,2]






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 13 '18 at 18:40









anotheroneanotherone

409417




409417












  • Hi Anotherone, unfortunately removing the csv headers doesn't seem to have any effect on the scatter plot, the "invalid type promotion" error is still displayed. :(

    – RCW_8
    Nov 14 '18 at 8:25

















  • Hi Anotherone, unfortunately removing the csv headers doesn't seem to have any effect on the scatter plot, the "invalid type promotion" error is still displayed. :(

    – RCW_8
    Nov 14 '18 at 8:25
















Hi Anotherone, unfortunately removing the csv headers doesn't seem to have any effect on the scatter plot, the "invalid type promotion" error is still displayed. :(

– RCW_8
Nov 14 '18 at 8:25





Hi Anotherone, unfortunately removing the csv headers doesn't seem to have any effect on the scatter plot, the "invalid type promotion" error is still displayed. :(

– RCW_8
Nov 14 '18 at 8:25



















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