plot data on graph using python [duplicate]
-5
This question is an exact duplicate of:
draw data in graph using random forest python [on hold]
1 answer
how to plot this panda data set and show the destination id is x axis and prices is y axis on graph using python
destinationId = [2,5,4,4,5,7,8,7]
prices = [755, 800, 500, 400, 152, 444, 784, 954, 120]
df = pd.DataFrame([carriersID, destinationId, montheName, prices]).T
df.columns = ['carriersID', 'destinationId', 'departureDate', 'prices']
print(df)
+---+-------------+---------------+---------------+--------+
| | carriersID | destinationId | departureDate | prices |
+---+-------------+---------------+---------------+--------+
| 0 | 1.0 | 2.0 | 1.0 | 755.0 |
| 1 | 2.0 | 5.0 | 2.0 | 800.0 |
| 2 | 3.0 | 4.0 | 3.0 | 500.0 |
| 3 | 5.0 | 4.0 | 4.0 | 400.0 |
| 4 | 6.0 | 5.0 | 5.0 | 152.0 |
| 5 | 7.0 | 7.0 | 7.0 | 444.0 |
| 6 | 8.0 | 8.0 | 8.0 | 784.0 |
| 7 | 9.0 | 7.0 | NaN | 954.0 |
| 8 | NaN | NaN | NaN | 120.0 |
+---+-------------+---------------+---------------+--------+
python pandas matplotlib machine-learning
edited Dec 27 '18 at 17:30
dhilmathy
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asked Dec 27 '18 at 14:46
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Dec 27 '18 at 15:25
This question was marked as an exact duplicate of an existing question.
add a comment |
-5
This question is an exact duplicate of:
draw data in graph using random forest python [on hold]
1 answer
how to plot this panda data set and show the destination id is x axis and prices is y axis on graph using python
destinationId = [2,5,4,4,5,7,8,7]
prices = [755, 800, 500, 400, 152, 444, 784, 954, 120]
df = pd.DataFrame([carriersID, destinationId, montheName, prices]).T
df.columns = ['carriersID', 'destinationId', 'departureDate', 'prices']
print(df)
+---+-------------+---------------+---------------+--------+
| | carriersID | destinationId | departureDate | prices |
+---+-------------+---------------+---------------+--------+
| 0 | 1.0 | 2.0 | 1.0 | 755.0 |
| 1 | 2.0 | 5.0 | 2.0 | 800.0 |
| 2 | 3.0 | 4.0 | 3.0 | 500.0 |
| 3 | 5.0 | 4.0 | 4.0 | 400.0 |
| 4 | 6.0 | 5.0 | 5.0 | 152.0 |
| 5 | 7.0 | 7.0 | 7.0 | 444.0 |
| 6 | 8.0 | 8.0 | 8.0 | 784.0 |
| 7 | 9.0 | 7.0 | NaN | 954.0 |
| 8 | NaN | NaN | NaN | 120.0 |
+---+-------------+---------------+---------------+--------+
python pandas matplotlib machine-learning
edited Dec 27 '18 at 17:30
dhilmathy
1,3991917
asked Dec 27 '18 at 14:46
user 123548
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Dec 27 '18 at 15:25
This question was marked as an exact duplicate of an existing question.
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-5
-5
-5
This question is an exact duplicate of:
draw data in graph using random forest python [on hold]
1 answer
how to plot this panda data set and show the destination id is x axis and prices is y axis on graph using python
destinationId = [2,5,4,4,5,7,8,7]
prices = [755, 800, 500, 400, 152, 444, 784, 954, 120]
df = pd.DataFrame([carriersID, destinationId, montheName, prices]).T
df.columns = ['carriersID', 'destinationId', 'departureDate', 'prices']
print(df)
+---+-------------+---------------+---------------+--------+
| | carriersID | destinationId | departureDate | prices |
+---+-------------+---------------+---------------+--------+
| 0 | 1.0 | 2.0 | 1.0 | 755.0 |
| 1 | 2.0 | 5.0 | 2.0 | 800.0 |
| 2 | 3.0 | 4.0 | 3.0 | 500.0 |
| 3 | 5.0 | 4.0 | 4.0 | 400.0 |
| 4 | 6.0 | 5.0 | 5.0 | 152.0 |
| 5 | 7.0 | 7.0 | 7.0 | 444.0 |
| 6 | 8.0 | 8.0 | 8.0 | 784.0 |
| 7 | 9.0 | 7.0 | NaN | 954.0 |
| 8 | NaN | NaN | NaN | 120.0 |
+---+-------------+---------------+---------------+--------+
python pandas matplotlib machine-learning
edited Dec 27 '18 at 17:30
dhilmathy
1,3991917
asked Dec 27 '18 at 14:46
user 123548
13
This question is an exact duplicate of:
draw data in graph using random forest python [on hold]
1 answer
how to plot this panda data set and show the destination id is x axis and prices is y axis on graph using python
destinationId = [2,5,4,4,5,7,8,7]
prices = [755, 800, 500, 400, 152, 444, 784, 954, 120]
df = pd.DataFrame([carriersID, destinationId, montheName, prices]).T
df.columns = ['carriersID', 'destinationId', 'departureDate', 'prices']
print(df)
+---+-------------+---------------+---------------+--------+
| | carriersID | destinationId | departureDate | prices |
+---+-------------+---------------+---------------+--------+
| 0 | 1.0 | 2.0 | 1.0 | 755.0 |
| 1 | 2.0 | 5.0 | 2.0 | 800.0 |
| 2 | 3.0 | 4.0 | 3.0 | 500.0 |
| 3 | 5.0 | 4.0 | 4.0 | 400.0 |
| 4 | 6.0 | 5.0 | 5.0 | 152.0 |
| 5 | 7.0 | 7.0 | 7.0 | 444.0 |
| 6 | 8.0 | 8.0 | 8.0 | 784.0 |
| 7 | 9.0 | 7.0 | NaN | 954.0 |
| 8 | NaN | NaN | NaN | 120.0 |
+---+-------------+---------------+---------------+--------+
This question is an exact duplicate of:
draw data in graph using random forest python [on hold]
1 answer
python pandas matplotlib machine-learning
python pandas matplotlib machine-learning
edited Dec 27 '18 at 17:30
dhilmathy
1,3991917
asked Dec 27 '18 at 14:46
user 123548
13
edited Dec 27 '18 at 17:30
dhilmathy
1,3991917
asked Dec 27 '18 at 14:46
user 123548
13
edited Dec 27 '18 at 17:30
dhilmathy
1,3991917
edited Dec 27 '18 at 17:30
dhilmathy
1,3991917
edited Dec 27 '18 at 17:30
dhilmathy
1,3991917
1,3991917
asked Dec 27 '18 at 14:46
user 123548
13
asked Dec 27 '18 at 14:46
user 123548
13
asked Dec 27 '18 at 14:46
user 123548
13
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2 Answers
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Have you tried the pandas plot function? I assume that you want a Bar chart, but more options exist.
df.plot(x='destinationId', y='prices', kind='bar')
answered Dec 27 '18 at 14:50
Romain
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df = df.set_index(1)
Where 1 is a column number (destinationId in that case).
Check documentation for more info:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html
answered Dec 27 '18 at 14:58
Anonymous
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2 Answers
2
active
oldest
votes
2 Answers
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active
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votes
active
oldest
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active
oldest
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1
Have you tried the pandas plot function? I assume that you want a Bar chart, but more options exist.
df.plot(x='destinationId', y='prices', kind='bar')
answered Dec 27 '18 at 14:50
Romain
6,14422136
add a comment |
1
Have you tried the pandas plot function? I assume that you want a Bar chart, but more options exist.
df.plot(x='destinationId', y='prices', kind='bar')
answered Dec 27 '18 at 14:50
Romain
6,14422136
add a comment |
1
1
1
Have you tried the pandas plot function? I assume that you want a Bar chart, but more options exist.
df.plot(x='destinationId', y='prices', kind='bar')
answered Dec 27 '18 at 14:50
Romain
6,14422136
Have you tried the pandas plot function? I assume that you want a Bar chart, but more options exist.
df.plot(x='destinationId', y='prices', kind='bar')
answered Dec 27 '18 at 14:50
Romain
6,14422136
answered Dec 27 '18 at 14:50
Romain
6,14422136
answered Dec 27 '18 at 14:50
Romain
6,14422136
answered Dec 27 '18 at 14:50
Romain
6,14422136
6,14422136
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0
df = df.set_index(1)
Where 1 is a column number (destinationId in that case).
Check documentation for more info:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html
answered Dec 27 '18 at 14:58
Anonymous
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df = df.set_index(1)
Where 1 is a column number (destinationId in that case).
Check documentation for more info:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html
answered Dec 27 '18 at 14:58
Anonymous
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0
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df = df.set_index(1)
Where 1 is a column number (destinationId in that case).
Check documentation for more info:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html
answered Dec 27 '18 at 14:58
Anonymous
1
New contributor
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df = df.set_index(1)
Where 1 is a column number (destinationId in that case).
Check documentation for more info:
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.set_index.html
answered Dec 27 '18 at 14:58
Anonymous
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answered Dec 27 '18 at 14:58
Anonymous
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answered Dec 27 '18 at 14:58
Anonymous
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answered Dec 27 '18 at 14:58
Anonymous
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New contributor
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