How to show all the data in the plotly graph for all the dates in Python 3?
I am trying to plot the line chart using plotly. I want to plot the SALES of a particular REGION across the DATE. First I tried plotting the SALES of all the REGION across the DATE column, which plotted successful. But when I'm trying to plot SALES for a particular REGION, the plotly is showing the half data. The plotly is showing the values of DATE column but for just 1 month like here it is showing from "1st JAN to 1st FEB" even if the particular region has data for 3 months. I tried using different region, but it is showing graph for 1 month only when filtered to REGION level, while it is showing all the DATE values when it is plotted for whole REGION. Please suggest me any way to show all the 3 months data in graph for a particular REGION.
import pandas as pd
Region=['East', 'East', 'East', 'East', 'East', 'East', 'East', 'East',
'East', 'East', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West',
'West', 'West', 'West', 'West', 'West', 'West', 'West', 'West',
'West', 'West', 'West', 'West']
Date=['2018-01-01', '2018-01-05', '2018-01-22', '2018-02-01', '2018-02-02', '2018-02-19', '2018-02-23', '2018-03-09', '2018-03-18', '2018-03-23', '2018-01-02', '2018-01-04', '2018-01-05', '2018-01-06', '2018-01-09', '2018-01-13', '2018-01-22', '2018-01-31', '2018-02-02', '2018-02-03', '2018-02-05', '2018-02-06', '2018-02-09', '2018-02-20', '2018-02-22', '2018-02-23', '2018-02-24', '2018-03-08', '2018-03-10', '2018-03-12', '2018-03-13', '2018-03-17', '2018-03-19', '2018-03-24', '2018-03-26', '2018-01-01', '2018-01-03', '2018-01-04', '2018-01-06', '2018-01-08', '2018-01-10', '2018-01-12', '2018-01-22', '2018-02-04', '2018-02-05', '2018-02-06', '2018-02-07', '2018-02-08', '2018-02-09', '2018-02-22', '2018-02-23', '2018-02-24', '2018-02-25', '2018-02-26', '2018-03-11', '2018-03-12', '2018-03-14', '2018-03-16', '2018-03-23', '2018-03-25', '2018-01-02', '2018-01-03', '2018-01-07', '2018-01-11', '2018-01-22', '2018-02-03', '2018-02-04', '2018-02-07', '2018-02-08', '2018-02-21', '2018-02-24', '2018-02-25', '2018-03-10', '2018-03-11', '2018-03-15', '2018-03-24', '2018-03-25']
Sales=[ 20215, 6000, 22124, 12506, 20582, 16893, 17618, 407253,
404091, 428236, 20122, 12600, 15460, 12000, 13800, 16505,
57836, 12919, 31994, 18375, 15075, 18097, 16800, 17208,
39300, 17119, 21662, 332309, 444733, 403845, 427565, 430442,
429492, 433257, 450149, 7200, 19200, 19349, 12796, 25751,
18130, 21314, 53821, 20311, 16110, 19344, 20969, 16440,
19899, 17016, 18226, 15752, 334597, 32906, 430401, 427898,
458760, 393953, 463615, 425819, 13800, 24579, 22825, 19597,
34444, 14978, 21231, 19634, 21256, 16549, 125037, 36875,
420822, 432303, 423303, 450958, 431653]
Profit=[ 210, 156, 188, 240, 210, 229, 206, 5168, 5139, 5149, 196,
150, 253, 162, 330, 163, 662, 186, 416, 203, 194, 222,
240, 213, 414, 188, 185, 4150, 5184, 5305, 5105, 5435, 5189,
5287, 5080, 132, 144, 221, 229, 506, 230, 219, 682, 204,
219, 221, 220, 217, 203, 230, 221, 220, 4276, 433, 5073,
4987, 5095, 5189, 5251, 5132, 138, 240, 398, 222, 385, 243,
207, 219, 184, 254, 1452, 440, 5310, 5187, 5060, 4992, 5212]
d=pd.DataFrame('Region':Region, 'Date':pd.to_datetime(Date,yearfirst=True), 'Sales':Sales, 'Profit':Profit)
The dataframe can be seen as
Graph - Plotly Code
import plotly
import plotly.plotly as py
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot,iplot
plotly.offline.init_notebook_mode()
# Create first trace
trace = go.Scatter(
x = list(d.Date.sort_values()),
y = list(d.Sales.sort_values()),
)
data = [trace]
plot(data, filename='basic-line')
The Graph given below is showing Sales for all the Regions across the
3 months (Jan,Feb & March) properly.
# Create second trace
trace = go.Scatter(
x = list(d.Date.sort_values()),
y = list(d[d.Region=='South']['Sales'].sort_values()),
)
data = [trace]
plot(data, filename='basic-line')
But when it is filtered for a SOUTH REGION, it is showing only one 1
month, even if the data exist in SOUTH column.
Can anyone tell me how to show data for rest of the months in the plotly graph.
python plot graph plotly linechart
asked Nov 14 '18 at 10:08
DavidDavid
387
add a comment |
I am trying to plot the line chart using plotly. I want to plot the SALES of a particular REGION across the DATE. First I tried plotting the SALES of all the REGION across the DATE column, which plotted successful. But when I'm trying to plot SALES for a particular REGION, the plotly is showing the half data. The plotly is showing the values of DATE column but for just 1 month like here it is showing from "1st JAN to 1st FEB" even if the particular region has data for 3 months. I tried using different region, but it is showing graph for 1 month only when filtered to REGION level, while it is showing all the DATE values when it is plotted for whole REGION. Please suggest me any way to show all the 3 months data in graph for a particular REGION.
import pandas as pd
Region=['East', 'East', 'East', 'East', 'East', 'East', 'East', 'East',
'East', 'East', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West',
'West', 'West', 'West', 'West', 'West', 'West', 'West', 'West',
'West', 'West', 'West', 'West']
Date=['2018-01-01', '2018-01-05', '2018-01-22', '2018-02-01', '2018-02-02', '2018-02-19', '2018-02-23', '2018-03-09', '2018-03-18', '2018-03-23', '2018-01-02', '2018-01-04', '2018-01-05', '2018-01-06', '2018-01-09', '2018-01-13', '2018-01-22', '2018-01-31', '2018-02-02', '2018-02-03', '2018-02-05', '2018-02-06', '2018-02-09', '2018-02-20', '2018-02-22', '2018-02-23', '2018-02-24', '2018-03-08', '2018-03-10', '2018-03-12', '2018-03-13', '2018-03-17', '2018-03-19', '2018-03-24', '2018-03-26', '2018-01-01', '2018-01-03', '2018-01-04', '2018-01-06', '2018-01-08', '2018-01-10', '2018-01-12', '2018-01-22', '2018-02-04', '2018-02-05', '2018-02-06', '2018-02-07', '2018-02-08', '2018-02-09', '2018-02-22', '2018-02-23', '2018-02-24', '2018-02-25', '2018-02-26', '2018-03-11', '2018-03-12', '2018-03-14', '2018-03-16', '2018-03-23', '2018-03-25', '2018-01-02', '2018-01-03', '2018-01-07', '2018-01-11', '2018-01-22', '2018-02-03', '2018-02-04', '2018-02-07', '2018-02-08', '2018-02-21', '2018-02-24', '2018-02-25', '2018-03-10', '2018-03-11', '2018-03-15', '2018-03-24', '2018-03-25']
Sales=[ 20215, 6000, 22124, 12506, 20582, 16893, 17618, 407253,
404091, 428236, 20122, 12600, 15460, 12000, 13800, 16505,
57836, 12919, 31994, 18375, 15075, 18097, 16800, 17208,
39300, 17119, 21662, 332309, 444733, 403845, 427565, 430442,
429492, 433257, 450149, 7200, 19200, 19349, 12796, 25751,
18130, 21314, 53821, 20311, 16110, 19344, 20969, 16440,
19899, 17016, 18226, 15752, 334597, 32906, 430401, 427898,
458760, 393953, 463615, 425819, 13800, 24579, 22825, 19597,
34444, 14978, 21231, 19634, 21256, 16549, 125037, 36875,
420822, 432303, 423303, 450958, 431653]
Profit=[ 210, 156, 188, 240, 210, 229, 206, 5168, 5139, 5149, 196,
150, 253, 162, 330, 163, 662, 186, 416, 203, 194, 222,
240, 213, 414, 188, 185, 4150, 5184, 5305, 5105, 5435, 5189,
5287, 5080, 132, 144, 221, 229, 506, 230, 219, 682, 204,
219, 221, 220, 217, 203, 230, 221, 220, 4276, 433, 5073,
4987, 5095, 5189, 5251, 5132, 138, 240, 398, 222, 385, 243,
207, 219, 184, 254, 1452, 440, 5310, 5187, 5060, 4992, 5212]
d=pd.DataFrame('Region':Region, 'Date':pd.to_datetime(Date,yearfirst=True), 'Sales':Sales, 'Profit':Profit)
The dataframe can be seen as
Graph - Plotly Code
import plotly
import plotly.plotly as py
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot,iplot
plotly.offline.init_notebook_mode()
# Create first trace
trace = go.Scatter(
x = list(d.Date.sort_values()),
y = list(d.Sales.sort_values()),
)
data = [trace]
plot(data, filename='basic-line')
The Graph given below is showing Sales for all the Regions across the
3 months (Jan,Feb & March) properly.
# Create second trace
trace = go.Scatter(
x = list(d.Date.sort_values()),
y = list(d[d.Region=='South']['Sales'].sort_values()),
)
data = [trace]
plot(data, filename='basic-line')
But when it is filtered for a SOUTH REGION, it is showing only one 1
month, even if the data exist in SOUTH column.
Can anyone tell me how to show data for rest of the months in the plotly graph.
python plot graph plotly linechart
asked Nov 14 '18 at 10:08
DavidDavid
387
add a comment |
I am trying to plot the line chart using plotly. I want to plot the SALES of a particular REGION across the DATE. First I tried plotting the SALES of all the REGION across the DATE column, which plotted successful. But when I'm trying to plot SALES for a particular REGION, the plotly is showing the half data. The plotly is showing the values of DATE column but for just 1 month like here it is showing from "1st JAN to 1st FEB" even if the particular region has data for 3 months. I tried using different region, but it is showing graph for 1 month only when filtered to REGION level, while it is showing all the DATE values when it is plotted for whole REGION. Please suggest me any way to show all the 3 months data in graph for a particular REGION.
import pandas as pd
Region=['East', 'East', 'East', 'East', 'East', 'East', 'East', 'East',
'East', 'East', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West',
'West', 'West', 'West', 'West', 'West', 'West', 'West', 'West',
'West', 'West', 'West', 'West']
Date=['2018-01-01', '2018-01-05', '2018-01-22', '2018-02-01', '2018-02-02', '2018-02-19', '2018-02-23', '2018-03-09', '2018-03-18', '2018-03-23', '2018-01-02', '2018-01-04', '2018-01-05', '2018-01-06', '2018-01-09', '2018-01-13', '2018-01-22', '2018-01-31', '2018-02-02', '2018-02-03', '2018-02-05', '2018-02-06', '2018-02-09', '2018-02-20', '2018-02-22', '2018-02-23', '2018-02-24', '2018-03-08', '2018-03-10', '2018-03-12', '2018-03-13', '2018-03-17', '2018-03-19', '2018-03-24', '2018-03-26', '2018-01-01', '2018-01-03', '2018-01-04', '2018-01-06', '2018-01-08', '2018-01-10', '2018-01-12', '2018-01-22', '2018-02-04', '2018-02-05', '2018-02-06', '2018-02-07', '2018-02-08', '2018-02-09', '2018-02-22', '2018-02-23', '2018-02-24', '2018-02-25', '2018-02-26', '2018-03-11', '2018-03-12', '2018-03-14', '2018-03-16', '2018-03-23', '2018-03-25', '2018-01-02', '2018-01-03', '2018-01-07', '2018-01-11', '2018-01-22', '2018-02-03', '2018-02-04', '2018-02-07', '2018-02-08', '2018-02-21', '2018-02-24', '2018-02-25', '2018-03-10', '2018-03-11', '2018-03-15', '2018-03-24', '2018-03-25']
Sales=[ 20215, 6000, 22124, 12506, 20582, 16893, 17618, 407253,
404091, 428236, 20122, 12600, 15460, 12000, 13800, 16505,
57836, 12919, 31994, 18375, 15075, 18097, 16800, 17208,
39300, 17119, 21662, 332309, 444733, 403845, 427565, 430442,
429492, 433257, 450149, 7200, 19200, 19349, 12796, 25751,
18130, 21314, 53821, 20311, 16110, 19344, 20969, 16440,
19899, 17016, 18226, 15752, 334597, 32906, 430401, 427898,
458760, 393953, 463615, 425819, 13800, 24579, 22825, 19597,
34444, 14978, 21231, 19634, 21256, 16549, 125037, 36875,
420822, 432303, 423303, 450958, 431653]
Profit=[ 210, 156, 188, 240, 210, 229, 206, 5168, 5139, 5149, 196,
150, 253, 162, 330, 163, 662, 186, 416, 203, 194, 222,
240, 213, 414, 188, 185, 4150, 5184, 5305, 5105, 5435, 5189,
5287, 5080, 132, 144, 221, 229, 506, 230, 219, 682, 204,
219, 221, 220, 217, 203, 230, 221, 220, 4276, 433, 5073,
4987, 5095, 5189, 5251, 5132, 138, 240, 398, 222, 385, 243,
207, 219, 184, 254, 1452, 440, 5310, 5187, 5060, 4992, 5212]
d=pd.DataFrame('Region':Region, 'Date':pd.to_datetime(Date,yearfirst=True), 'Sales':Sales, 'Profit':Profit)
The dataframe can be seen as
Graph - Plotly Code
import plotly
import plotly.plotly as py
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot,iplot
plotly.offline.init_notebook_mode()
# Create first trace
trace = go.Scatter(
x = list(d.Date.sort_values()),
y = list(d.Sales.sort_values()),
)
data = [trace]
plot(data, filename='basic-line')
The Graph given below is showing Sales for all the Regions across the
3 months (Jan,Feb & March) properly.
# Create second trace
trace = go.Scatter(
x = list(d.Date.sort_values()),
y = list(d[d.Region=='South']['Sales'].sort_values()),
)
data = [trace]
plot(data, filename='basic-line')
But when it is filtered for a SOUTH REGION, it is showing only one 1
month, even if the data exist in SOUTH column.
Can anyone tell me how to show data for rest of the months in the plotly graph.
python plot graph plotly linechart
asked Nov 14 '18 at 10:08
DavidDavid
387
I am trying to plot the line chart using plotly. I want to plot the SALES of a particular REGION across the DATE. First I tried plotting the SALES of all the REGION across the DATE column, which plotted successful. But when I'm trying to plot SALES for a particular REGION, the plotly is showing the half data. The plotly is showing the values of DATE column but for just 1 month like here it is showing from "1st JAN to 1st FEB" even if the particular region has data for 3 months. I tried using different region, but it is showing graph for 1 month only when filtered to REGION level, while it is showing all the DATE values when it is plotted for whole REGION. Please suggest me any way to show all the 3 months data in graph for a particular REGION.
import pandas as pd
Region=['East', 'East', 'East', 'East', 'East', 'East', 'East', 'East',
'East', 'East', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'North',
'North', 'North', 'North', 'North', 'North', 'North', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'South', 'South', 'South', 'South',
'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West',
'West', 'West', 'West', 'West', 'West', 'West', 'West', 'West',
'West', 'West', 'West', 'West']
Date=['2018-01-01', '2018-01-05', '2018-01-22', '2018-02-01', '2018-02-02', '2018-02-19', '2018-02-23', '2018-03-09', '2018-03-18', '2018-03-23', '2018-01-02', '2018-01-04', '2018-01-05', '2018-01-06', '2018-01-09', '2018-01-13', '2018-01-22', '2018-01-31', '2018-02-02', '2018-02-03', '2018-02-05', '2018-02-06', '2018-02-09', '2018-02-20', '2018-02-22', '2018-02-23', '2018-02-24', '2018-03-08', '2018-03-10', '2018-03-12', '2018-03-13', '2018-03-17', '2018-03-19', '2018-03-24', '2018-03-26', '2018-01-01', '2018-01-03', '2018-01-04', '2018-01-06', '2018-01-08', '2018-01-10', '2018-01-12', '2018-01-22', '2018-02-04', '2018-02-05', '2018-02-06', '2018-02-07', '2018-02-08', '2018-02-09', '2018-02-22', '2018-02-23', '2018-02-24', '2018-02-25', '2018-02-26', '2018-03-11', '2018-03-12', '2018-03-14', '2018-03-16', '2018-03-23', '2018-03-25', '2018-01-02', '2018-01-03', '2018-01-07', '2018-01-11', '2018-01-22', '2018-02-03', '2018-02-04', '2018-02-07', '2018-02-08', '2018-02-21', '2018-02-24', '2018-02-25', '2018-03-10', '2018-03-11', '2018-03-15', '2018-03-24', '2018-03-25']
Sales=[ 20215, 6000, 22124, 12506, 20582, 16893, 17618, 407253,
404091, 428236, 20122, 12600, 15460, 12000, 13800, 16505,
57836, 12919, 31994, 18375, 15075, 18097, 16800, 17208,
39300, 17119, 21662, 332309, 444733, 403845, 427565, 430442,
429492, 433257, 450149, 7200, 19200, 19349, 12796, 25751,
18130, 21314, 53821, 20311, 16110, 19344, 20969, 16440,
19899, 17016, 18226, 15752, 334597, 32906, 430401, 427898,
458760, 393953, 463615, 425819, 13800, 24579, 22825, 19597,
34444, 14978, 21231, 19634, 21256, 16549, 125037, 36875,
420822, 432303, 423303, 450958, 431653]
Profit=[ 210, 156, 188, 240, 210, 229, 206, 5168, 5139, 5149, 196,
150, 253, 162, 330, 163, 662, 186, 416, 203, 194, 222,
240, 213, 414, 188, 185, 4150, 5184, 5305, 5105, 5435, 5189,
5287, 5080, 132, 144, 221, 229, 506, 230, 219, 682, 204,
219, 221, 220, 217, 203, 230, 221, 220, 4276, 433, 5073,
4987, 5095, 5189, 5251, 5132, 138, 240, 398, 222, 385, 243,
207, 219, 184, 254, 1452, 440, 5310, 5187, 5060, 4992, 5212]
d=pd.DataFrame('Region':Region, 'Date':pd.to_datetime(Date,yearfirst=True), 'Sales':Sales, 'Profit':Profit)
The dataframe can be seen as
Graph - Plotly Code
import plotly
import plotly.plotly as py
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot,iplot
plotly.offline.init_notebook_mode()
# Create first trace
trace = go.Scatter(
x = list(d.Date.sort_values()),
y = list(d.Sales.sort_values()),
)
data = [trace]
plot(data, filename='basic-line')
The Graph given below is showing Sales for all the Regions across the
3 months (Jan,Feb & March) properly.
# Create second trace
trace = go.Scatter(
x = list(d.Date.sort_values()),
y = list(d[d.Region=='South']['Sales'].sort_values()),
)
data = [trace]
plot(data, filename='basic-line')
But when it is filtered for a SOUTH REGION, it is showing only one 1
month, even if the data exist in SOUTH column.
Can anyone tell me how to show data for rest of the months in the plotly graph.
python plot graph plotly linechart
python plot graph plotly linechart
asked Nov 14 '18 at 10:08
DavidDavid
387
asked Nov 14 '18 at 10:08
DavidDavid
387
edited Nov 14 '18 at 11:05
David
asked Nov 14 '18 at 10:08
DavidDavid
387
asked Nov 14 '18 at 10:08
DavidDavid
387
asked Nov 14 '18 at 10:08
DavidDavid
387
387
add a comment |
add a comment |
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